Transforms one piece of content into platform-optimized assets across LinkedIn, Twitter/X, Instagram, TikTok, YouTube, Threads, Bluesky, and Reddit.
What's inside
SKILL.md — the skill definition (v7.0): format specs, hook formulas, algorithm signals, brand-memory integration, and creator-tested patterns for each platform.
references-platform-playbook.md — deep-dive reference: per-platform algorithm mechanics, carousel strategy, creator examples. Belongs in a references/ subfolder in the actual skill (gist doesn't support subfolders, so it's flattened here — move it back on install, see below).
Use case
Use when you have existing content (blog post, newsletter, podcast, video) and want to repurpose it into platform-specific social posts. Performs live web search for recent algorithm changes before generating, reads a brand voice profile for tone adjustments, and writes organized per-platform output files.
Transform one piece of content into platform-optimized assets across LinkedIn, Twitter/X, Instagram, TikTok, YouTube, Threads, Bluesky, and Reddit. Use when someone has existing content (blog post, newsletter, podcast, video) and wants to maximize distribution. Covers format specs, hook formulas, algorithm signals, and creator-tested patterns for each platform. Performs live web search for recent algorithm changes before generating. Reads brand voice profile and platform adaptation table for tone adjustments. Writes per-platform files to organized campaign directories. Detects Buffer/Hootsuite API keys for optional scheduling. Supports content calendar mode for full-week scheduling across all platforms. Triggers on: repurpose this, turn this into social posts, atomize this content, create social content from, LinkedIn post from this, thread from this, schedule this across platforms, create content calendar from this, repurpose for Threads, Bluesky post from this, Reddit strategy for this. Outputs platform-specific content ready to publish, saved to organized per-platform directories. Dependencies: none (but enhanced by brand context). Reads: voice-profile.md, creative-kit.md, learnings.md, stack.md. Writes: per-platform content files, assets.md, learnings.md. Chains to: /creative for visual assets, /newsletter for email distribution, /seo-content for source content.
Content Atomizer Skill
One piece of content should become ten. The best creators don't create more—they distribute better.
This skill transforms any source content into platform-optimized assets. Not generic repurposing. Platform-native content that performs.
The math: A single blog post can become 1 LinkedIn carousel + 2 LinkedIn text posts + 1 Twitter thread + 3 single tweets + 2 Instagram carousels + 1 Reel script + 2 TikTok scripts + 1 YouTube Short script + 1 Threads mini-thread + 1 Bluesky post + 1 Reddit value post = 16 pieces of content from one source.
Read ./brand/ per _system/brand-memory.md
Follow all output formatting rules from _system/output-format.md
Brand Memory Integration
This skill reads brand context to ensure every atomized piece sounds like the user's brand, adapts tone per platform, and builds on what has worked before. It also checks the learnings journal for platform performance data and the stack file for scheduling tool availability.
Check for Buffer, Hootsuite, or other scheduling tool API keys
Check for connected social accounts
Show: "Scheduling via [tool] available." or "No scheduler detected. Including recommended post times."
If ./brand/ does not exist:
Skip brand entirely. Do not error.
Proceed without it — this skill works standalone.
Note: "I don't see a brand profile yet. You can run /start-here or /brand-voice first to set one up, or I'll work without it."
Context Display
Show the user what was loaded using the standard tree format:
Brand context loaded:
├── Voice Profile ✓ "{tone summary}"
├── Creative Kit ✓ loaded
├── Learnings ✓ {N} entries ({M} platform-specific)
├── Stack ✓ Buffer connected
└── Past Atomizations ✓ {N} found
If items are missing:
Brand context loaded:
├── Voice Profile ✗ not found (run /brand-voice)
├── Creative Kit ✗ not found (run /creative)
├── Learnings ✗ none yet
├── Stack ✗ not found
└── Past Atomizations ✗ first run
Platform Voice Adaptation Table
The same insight needs different energy per platform. When a voice profile is loaded, apply these adjustments:
Platform
Formality
Energy
Length Bias
Audience Expectation
Professional, thoughtful
Medium-high
Longer, detailed
Expertise, credibility
Twitter/X
Punchy, direct
High
Short, dense
Speed, wit, conviction
Visual, inspirational
Medium
Caption-length
Visual-first, story
TikTok
Casual, energetic
Very high
Spoken-word short
Authenticity, entertainment
YouTube
Conversational, thorough
Medium
Script-length
Depth, personality
Threads
Conversational, warm
Medium
Medium text
Thoughtful discussion
Bluesky
Substantive, measured
Medium-low
Concise text
Nuance, substance
Detailed, transparent
Low-key
Long-form text
Value, specificity, proof
Example — same insight, eight platforms:
Platform
Adaptation
"After 10 years in marketing, I've learned that simplicity beats complexity. Here's why:"
Twitter/X
"Hot take: Simple marketing > 'sophisticated' marketing. Every time."
[Image with text: "Simple > Sophisticated" + story in caption]
TikTok
"Y'all I need to talk about why everyone's overcomplicating their marketing..."
YouTube
"If you've been in marketing for any length of time, you've probably noticed something..."
Threads
"Something I keep coming back to: the best marketing strategies are embarrassingly simple. Here's what I mean..."
Bluesky
"The complexity fetish in marketing is real. Simple strategies outperform sophisticated ones. A few observations from a decade of data:"
"I've been in marketing for 10 years and tracked my campaigns. The simple strategies consistently outperform the complex ones. Here's the data and my methodology:"
Web Search for Algorithm Updates
Before generating content for any platform, perform a live web search to check for recent algorithm changes. This keeps the atomized content aligned with current platform behavior rather than stale playbook data.
Search Protocol
For each target platform, search for:
"{platform name} algorithm update {current month} {current year}"
"{platform name} algorithm changes {current year}"
"{platform name} reach engagement changes {current year}"
What to Look For
New ranking signals — Any officially announced or widely reported changes to how content is ranked
Format preference shifts — Are carousels still outperforming? Has video priority changed?
Reach changes — Reports of organic reach increasing or decreasing
New features — Features that affect content distribution (e.g., new post types, feed changes)
Policy changes — New content policies, monetization changes, or API restrictions
How to Apply Findings
After searching, compare findings against the reference playbook at ./references/platform-playbook.md:
If no changes found: Proceed with playbook data. Note: "Algorithm check: no significant changes since playbook was written."
If changes found: Flag them explicitly before generating:
Algorithm updates detected:
├── LinkedIn No changes since playbook
├── Twitter/X ✓ UPDATE: Grok now weights long-form
│ posts higher (Jan 2026 change)
├── Instagram ✓ UPDATE: Trial Reels get 50% more
│ initial reach (reported Feb 2026)
├── TikTok No changes since playbook
├── YouTube No changes since playbook
├── Threads ✓ UPDATE: Topic tags now affect
│ discovery feed ranking
├── Bluesky No changes since playbook
└── Reddit No changes since playbook
Adjusting output for flagged platforms.
Staleness Warning
If the reference playbook is more than 3 months old and web search returns no results (e.g., search fails or is unavailable), warn the user:
┌──────────────────────────────────────────────┐
│ │
│ ✗ ALGORITHM DATA MAY BE STALE │
│ │
│ The platform playbook was last updated │
│ [date] and I could not verify current │
│ algorithm signals via web search. │
│ │
│ Recommendations may not reflect recent │
│ platform changes. Proceed with playbook │
│ data, but monitor performance closely. │
│ │
└──────────────────────────────────────────────┘
The Core Job
Transform source content into platform-native assets that:
Match each platform's algorithm signals
Use format-specific best practices
Include hooks proven to stop the scroll
Feel native, not repurposed
Respect brand voice with per-platform adaptation
Land in organized, publishable file structure
Input Types
What Can Be Atomized
Source Type
Best Outputs
Atomization Potential
Blog Post
All platforms
High (lots of material)
Newsletter
LinkedIn, Twitter, Instagram, Threads
High
Podcast Episode
Short-form video, threads, carousels, Reddit
Very High
Long-form Video
Shorts, Reels, TikToks, carousels
Very High
Webinar/Talk
All platforms
Very High
Case Study
LinkedIn, Twitter threads, Reddit
High
Data/Research
Carousels, threads, single posts, Reddit, Bluesky
Medium-High
Framework/Process
Carousels, threads, video scripts
High
What to Extract
From any source, identify:
The Core Insight — The one thing someone should remember
Supporting Points — 3-7 sub-points that build the argument
Stories/Examples — Concrete illustrations
Data Points — Stats, numbers, proof
Contrarian Takes — Opinions that challenge conventional wisdom
Actionable Steps — What someone can do with this
Quotable Lines — Punchy phrases that stand alone
Platform Playbooks
Algorithm Signals (December 2025):
Dwell time — How long people spend reading (still #1)
Golden hour — First 60 minutes determines reach to 2nd/3rd-degree connections
Relevance over recency — Mid-2025 update shows older posts (2-3 weeks) if highly relevant
Authentic engagement — AI detects engagement pods via comment velocity and patterns
Native content — Posts without links get significantly more reach
2025 Reality Check: Organic views down ~50%, engagement down ~25% as LinkedIn prioritizes quality over quantity. Post 2-3x/week max, not daily.
Optimal Specs:
Format
Specs
Notes
Carousel
5-10 slides, 1080x1350px
Highest dwell time, save-worthy
Text Post
1,200-1,500 chars, 3-line hook
Depth over frequency
Document
PDF, 10-15 pages max
Good for frameworks
Video
30-90 seconds, captions required
Lower reach than text/carousels
LinkedIn Carousel Template
Slide 1: Hook Slide
[BOLD CLAIM OR QUESTION]
(That challenges what they think they know)
Swipe → to learn [specific outcome]
Slide 2-6: Content Slides
[NUMBER]. [POINT HEADLINE]
[2-3 sentences of explanation]
[Visual element or example if possible]
Slide 7: Summary Slide
Quick recap:
1. [Point 1 - 5 words max]
2. [Point 2 - 5 words max]
3. [Point 3 - 5 words max]
4. [Point 4 - 5 words max]
5. [Point 5 - 5 words max]
Final Slide: CTA Slide
Found this useful?
→ Follow for more [topic]
→ Repost to help others
→ Save for later
[Your name/handle]
LinkedIn Text Post Template
[HOOK - First line must stop the scroll]
[Line break]
[CONTEXT - Why this matters, 2-3 lines]
[Line break]
Here's what I learned:
[Line break]
1. [Point with brief explanation]
2. [Point with brief explanation]
3. [Point with brief explanation]
4. [Point with brief explanation]
5. [Point with brief explanation]
[Line break]
[TAKEAWAY - The "so what"]
[Line break]
[CTA - Question or action]
---
[Hashtags - 3-5 max, at the bottom]
LinkedIn Hook Formulas
Pattern 1: Contrarian Statement
"Stop [thing everyone does]. It's killing your [result]."
Pattern 2: Story Hook
"Last week, I [did something]. What happened next changed how I think about [topic]."
Pattern 3: List Preview
"[Number] [things] that [outcome]. (Number [X] is the one no one talks about.)"
Pattern 4: Credibility + Insight
"After [impressive stat/experience], here's what I know for sure about [topic]:"
Pattern 5: Question Hook
"Why do [surprising thing happen]? I finally figured it out."
Pattern 6: Bold Claim
"[Counterintuitive claim]. Here's the proof:"
Twitter/X
Algorithm Signals (December 2025):
Replies — Highest weight, especially from accounts you engage with
Quote tweets — 2x engagement value vs plain retweet
Time spent — On tweet and clicked links
Profile clicks — Curiosity driven by tweet
Media boost — Images/videos/GIFs increase visibility scores
Early engagement — First hours critical for amplification
2025 Changes: Following feed now uses Grok AI for ranking (based on past interactions and topics)—no longer purely chronological. Users default to For You feed.
Optimal Specs:
Format
Specs
Performance
Single Tweet
<100 characters optimal
Highest engagement rate
Thread
8-15 tweets
Best for depth + followers
Quote Tweet
Add value to original
2x engagement vs retweet
Image Tweet
1200x675px
35% more engagement
Twitter Thread Template
Tweet 1: Hook Tweet
[BOLD CLAIM OR PROMISE]
[What they'll learn in one line]
Thread:
Tweets 2-X: Content Tweets
[NUMBER]. [POINT]
[2-3 sentences of explanation]
[Example or proof if fits]
Final Tweet: Wrap + CTA
TL;DR:
- [Point 1]
- [Point 2]
- [Point 3]
- [Point 4]
- [Point 5]
If this was useful:
1. Follow @[handle] for more
2. RT the first tweet
[Link if relevant]
Single Tweet Templates
The Insight Tweet:
[Counterintuitive observation about industry/topic]
Most people think [X].
But [Y] is actually true because [Z].
The List Tweet:
[Number] [things] that [outcome]:
- [Item 1]
- [Item 2]
- [Item 3]
- [Item 4]
- [Item 5]
Which one hits different?
The Hot Take:
Unpopular opinion:
[Contrarian statement]
Here's why: [One-line reasoning]
The Question Tweet:
[Provocative question about industry/topic]?
Genuine question. Reply with your take.
The Proof Tweet:
[Impressive result/stat]
Here's exactly how:
[3-5 bullet points of method]
Twitter Hook Formulas
Pattern 1: Bold Opener
"[Thing] is dead. Here's what's replacing it:"
Pattern 2: Numbers + Outcome
"I [did X] for [time period]. Here's what happened:"
Pattern 3: Controversial Take
"This will piss off [group], but [claim]."
Pattern 4: Curiosity Gap
"The [industry] secret no one talks about:"
Pattern 5: Specific Proof
"[Specific result] in [timeframe]. No [common excuse]. Here's the playbook:"
Algorithm Signals (December 2025):
DM shares ("sends per reach") — Now one of the STRONGEST discovery signals
Saves — Still critical for Feed and Explore
Watch time & retention — For Reels, completion rate is king
Likes per reach — Quality signal (not raw likes)
Early velocity — First 30-90 minutes determines push to wider audience
Relationship signals — DMs, profile taps, comment history with account
2025 Changes: Photos getting more support in Feed again (Adam Mosseri). Carousels expanded to 20 slides in some regions. Hashtag weighting significantly reduced. New "Your Algorithm" feature lets users see why they're seeing content.
Optimal Specs:
Format
Specs
Performance
Carousel
6-10 slides (up to 20), 1080x1350px
Highest engagement, save-worthy
Reel
7-15 sec (viral), 30-45 sec (tutorials)
Best for discovery/reach
Single Image
1080x1350px
Getting more support in 2025
Story
1080x1920px, <15 sec
Best for DM engagement
Instagram Carousel Template
Slide 1: Cover (The Hook)
[BOLD STATEMENT OR QUESTION]
in [large, readable font]
[Minimal design, high contrast]
Slide 2: The Problem/Setup
[Why this matters]
or
[What most people get wrong]
Slides 3-8: The Content
[ONE point per slide]
[Large text, minimal words]
[Visual hierarchy: headline + 1-2 supporting lines]
Slide 9: Summary (Optional)
Quick recap:
[Point 1]
[Point 2]
[Point 3]
[Point 4]
[Point 5]
Slide 10: CTA
Save this for later
Follow @[handle] for more
Share with someone who needs this
Instagram Caption Template
[HOOK - First line must work in preview]
.
.
.
[BODY - The value/story/insight]
[2-4 paragraphs max]
[Each paragraph 2-3 sentences]
---
Save this for later
Share with a friend who needs it
Drop a comment if this resonated
---
#[niche hashtag] #[broader hashtag] #[topic hashtag]
Instagram Reel Script Template (15-30 seconds)
[SECONDS 0-3: HOOK]
"[Pattern interrupt or bold claim that stops scroll]"
[SECONDS 3-20: VALUE]
"Here's [what/why/how]:
Point one: [brief]
Point two: [brief]
Point three: [brief]"
[SECONDS 20-30: CTA]
"Follow for more [topic]"
OR
"Save this for later"
OR
"Send to someone who needs this"
Instagram Story Sequence Template
Story 1: Hook
[Poll or question sticker]
"Quick question..."
[Poll: Option A / Option B]
Story 2: Setup
"Here's why I ask..."
[Brief context]
Story 3-5: Value
[One point per story]
[Use text animation or stickers for engagement]
Story 6: CTA
"Want the full breakdown?"
[Link sticker to content]
OR
"DM me [word] for [resource]"
TikTok
Algorithm Signals (December 2025):
Watch time (first seconds) — Completion rate still #1, but early seconds weighted heavily
Rewatch rate — Multiple views = strong signal
Shares — Especially to DMs
Niche community alignment — 2025 favors specialized audiences over broad virality
Contextual categorization — AI distinguishes humor, education, emotion to match interests
Video quality — Lighting, sound, editing now integrated into ranking
2025 Changes: Algorithm now favors longer content (30-60+ seconds) if retention is high. Niche communities (#BookTok, etc.) get boosted over generic viral attempts. Deeper AI personalization analyzes watch duration, replays, and cross-platform habits.
Optimal Specs:
Format
Specs
Performance
Short-form
15-30 seconds
Highest completion rate
Medium
30-60 seconds
Now favored if retention is strong
Long-form
1-3 minutes
Good for depth with engaged audiences
Vertical
1080x1920px (9:16)
Required
TikTok Script Template (15-30 seconds)
[HOOK - 0-3 seconds]
"[Visual hook + verbal hook simultaneously]"
Options:
- "Stop scrolling if you [identifier]"
- "POV: You just realized [insight]"
- "The [industry] secret no one tells you:"
- "[Controversial statement]—let me explain"
- "I'm about to save you [time/money/pain]"
[BODY - 3-25 seconds]
"Here's the thing:
[Point 1 - delivered fast]
[Point 2 - keep momentum]
[Point 3 - the payoff]"
[CTA - 25-30 seconds]
"Follow for more [topic]"
OR
"Part 2?" [to boost comments]
OR
"Save this" [drives saves]
TikTok Hook Formulas
Pattern 1: Pattern Interrupt
"[Unexpected visual or statement that breaks scroll pattern]"
Pattern 2: Identity Call-Out
"This is for my [specific group] who [specific situation]"
Pattern 3: Proof First
"[Show the result immediately, then explain how]"
Pattern 4: Controversy Spark
"I'm going to get hate for this but [take]"
Pattern 5: Curiosity Gap
"I can't believe [industry/brand] doesn't want you to know this"
Pattern 6: Tutorial Promise
"In 30 seconds I'll show you how to [specific outcome]"
TikTok Content Patterns That Work
Before/After — Show transformation immediately
Green Screen — You + content behind you (tweets, articles, data)
Stitch/Duet — React to trending content in your niche
Day in the Life — Niche-specific (day in the life of a marketer, etc.)
POV — "POV: You're [scenario]" with relatable insight
Listicle — "3 things [outcome]" with fast delivery
Click-through rate (CTR) — How often people click when shown your video
Average view duration & % watched — Raw watch time AND completion percentage
Session impact — Does your video keep people on YouTube longer?
Viewer satisfaction — YouTube now uses surveys + behavior to estimate quality
Negative feedback — "Not interested," skips, very low retention hurt you
Topical authority — Channels focused on clear topics get recommended more
2025 Changes: AI-driven hyper-personalization (device, time of day, habits). Older evergreen videos get revived when topics trend again. Stronger emphasis on authority, depth, and "entity-rich" content (aligned with Google Search updates).
Optimal Specs:
Format
Specs
Performance
Shorts
10-35 sec (discovery), up to 60 sec
Highest reach, lower depth
Long-form
8-12 minutes (sweet spot)
Best for monetization + depth
Thumbnail
1280x720px
CTR target: 4-10% (Home), 6-12% strong
YouTube Shorts Script Template
[HOOK - 0-2 seconds]
"[Immediate value promise or pattern interrupt]"
Examples:
- "Here's why [common belief] is wrong"
- "[Number] second [topic] lesson"
- "The [industry] hack that changed everything"
[BODY - 2-50 seconds]
[Deliver value fast]
[Each point: 5-10 seconds max]
[Keep visual movement—don't stand still]
[CTA - 50-60 seconds]
"Subscribe for more [topic]"
OR
"Full video on my channel"
OR
End abruptly (drives rewatch for missed content)
YouTube Long-Form Framework (HIVES)
H - Hook (0-30 seconds)
[Pattern interrupt or bold claim]
[Quick credibility if needed]
[Preview of what they'll learn]
"By the end of this video, you'll know exactly how to [outcome]"
I - Intro (30 seconds - 1 minute)
[Brief context on why this matters]
[Who this is for]
[What you'll cover]
"Let's dive in"
V - Value (Main content)
[Deliver on the promise]
[Clear sections with verbal signposting]
"First... Second... Third..."
[Examples and proof for each point]
E - Engagement Prompts (Throughout)
[Every 2-3 minutes, insert:]
"Let me know in the comments if [question]"
"Hit like if [relatable statement]"
"If you're finding this useful, subscribe"
S - Strong CTA (Final 30 seconds)
[Summarize key points]
[Clear next action]
"If you want to go deeper on [topic], watch this video next"
[End screen with subscribe + related video]
YouTube Thumbnail + Title Patterns
Thumbnail Principles:
3 elements max (face, text, object)
High contrast colors
Readable at small size
Emotion on face (if showing face)
Curiosity gap (show outcome, not process)
Title Formulas:
Pattern
Example
How I [result]
"How I Built a 6-Figure Newsletter in 8 Months"
[Number] [Things] That [Outcome]
"7 LinkedIn Mistakes Killing Your Reach"
Why [Thing] Doesn't Work
"Why Your Content Strategy Isn't Working"
The [Adjective] [Thing]
"The Boring Marketing Strategy That Actually Works"
I [Did X] For [Time]. Here's What Happened
"I Posted Daily for 90 Days. Here's What Happened"
[Year] Guide to [Topic]
"2026 Guide to Growing on LinkedIn"
[Thing] vs [Thing]
"Threads vs Twitter: Which One Should You Use?"
Threads
Algorithm Signals (February 2026):
Reply depth — Multi-reply conversations signal high quality
Reshares — Primary amplification mechanism
Quote-posts — Commentary on reshares significantly boosts reach
Cross-graph engagement — Engagement from outside your IG follower graph = broader appeal
Topical relevance — Posts matching trending topics get pushed to discovery
Instagram relationship signals — DMs, follows, and interactions on IG carry over
Platform characteristics:
500 character limit per post
Up to 10 images or one 5-minute video per post
No hashtags initially; limited topic tag system
Fediverse integration (ActivityPub) — visible on Mastodon
No DMs — engagement is public only
No ads (yet) — organic reach is high
Current Opportunity: Lower competition than Twitter/X. Instagram cross-posting drives initial distribution. Text-forward format favors thoughtful, opinion-led content. Reply culture is more civil and constructive.
Optimal Specs:
Format
Specs
Performance
Single Post
200-400 chars
Highest engagement
Mini-Thread
3-5 posts
Good for depth
Quote-Post
Your take + reshare
High amplification
Image Post
1080x1350px
Gets attention in text feed
Threads Post Templates
The Conversational Take:
[Opinion or observation in plain language]
I've been thinking about this because [context].
The thing nobody mentions: [insight].
What's your experience?
The Mini-Thread:
Post 1: [Bold claim or observation]
Post 2: Here's what I mean:
[Supporting point with example]
Post 3: And the part nobody talks about:
[Deeper insight]
Post 4: Bottom line: [takeaway]
The Quote-Post Commentary:
[Reshare someone else's post]
This is underrated. Here's why:
[Your take in 2-3 sentences]
Threads Hook Formulas
Pattern 1: Casual Insight
"Something I've noticed about [topic] that I can't stop thinking about:"
Pattern 2: Friendly Disagreement
"I love [person/brand] but I think they're wrong about [thing]. Here's my take:"
Pattern 3: Behind the Scenes
"Okay honest question for [group]: does anyone else [relatable thing]?"
Pattern 4: IG Cross-Reference
"I posted about this on IG but want to go deeper here..."
Bluesky
Algorithm Signals (February 2026):
Likes — Basic engagement signal across all feed algorithms
Reposts — Amplification to follower network
Reply chains — Deep conversations surface in algorithmic feeds
Custom feed subscriptions — Users opt into topic feeds that curate content
Labeler signals — Community moderators can surface or suppress content
Recency — Chronological timeline still the default for many users
Platform characteristics:
300 character limit per post
Decentralized (AT Protocol) — users can self-host
No advertising — purely organic distribution
Custom feeds are the killer feature: curated algorithmic feeds anyone can create
Growing among tech, media, journalism, and academic communities
Current Opportunity: Smaller but highly engaged and educated audience. Disproportionately tech-savvy and media-literate. Strong text culture — thoughtful writing outperforms hot takes. Custom feeds let you target niche audiences with precision.
Optimal Specs:
Format
Specs
Performance
Single Post
150-280 chars
Concise, substantive
Thread
3-7 posts
Good for detailed takes
Link Post
Context + link
Higher engagement than bare links
Image Post
1200x675px
Breaks up text-heavy feeds
Bluesky Post Templates
The Thoughtful Observation:
[Nuanced take on industry topic]
The thing that gets lost in the discourse:
[2-3 sentences of substance]
The Link Post:
[Context for why this matters]
[Link to article/resource]
Key takeaway: [one-line summary]
The Community Question:
Genuine question for [group]:
[Specific, thoughtful question]
I've been [context for why you're asking].
Curious what others have experienced.
Bluesky Hook Formulas
Pattern 1: Informed Take
"[Topic] is more nuanced than people realize. Here's what the data actually shows:"
Pattern 2: Experience Report
"I've been [doing X] for [time]. Here's what surprised me:"
Pattern 3: Useful Curation
"Best [resources/tools/articles] I found this week on [topic]:"
Pattern 4: Platform Meta
"One thing I appreciate about the conversation here vs other platforms:"
Algorithm Signals (February 2026):
Upvote/downvote ratio — Net karma determines post ranking
Velocity of upvotes — Fast upvotes in first hour critical for reaching Hot
Comment count and depth — Discussion depth is a strong engagement signal
Subreddit-specific norms — Each community has rules, culture, moderators
Account age and karma — Newer/low-karma accounts face restrictions
Award signals — Gilded/awarded posts get visibility boosts
Platform characteristics:
Pseudonymous by default — personal branding secondary to content quality
Subreddit-specific audiences with strict community rules
Self-promotion heavily penalized — value-first or get removed
Long-form text posts perform well in discussion subreddits
Comments often drive more value than original post
Google now surfaces Reddit content prominently in search results
Current Opportunity: Google's "Reddit results" feature makes subreddit content discoverable in search. High-trust environment for authentic expertise. Longer shelf life than social posts. Strong for B2B thought leadership in niche subreddits.
Optimal Specs:
Format
Specs
Performance
Text Post
500-2000 words, detailed
Highest engagement
Link Post
Title + URL
Good for resource sharing
AMA
Q&A format, 2-3 hours active
Best for thought leadership
100-500 words, specific
Often more valuable than posts
Reddit Content Templates
The Value Post:
Title: [Specific, descriptive title — no clickbait]
Body:
[Context: who you are and why you're qualified]
[The actual value — detailed, specific, no fluff]
[Step-by-step breakdown if applicable]
[Disclaimer if relevant: "I work at X" for transparency]
Edit: [Respond to common questions in edits]
The AMA Strategy:
Title: I'm [credentials]. I [impressive/interesting thing]. AMA.
Body:
[Brief bio — 3-4 sentences]
[What you can answer questions about]
[Proof/verification]
[Spend 2-3 hours answering thoughtfully]
The Comment Strategy:
[Find trending posts in your niche subreddits]
[Add genuinely useful commentary]
[Share specific experience or data]
[Never link to your own content unless asked]
Reddit-Specific Rules
Read the subreddit rules before posting — Every subreddit has unique rules
No overt self-promotion — The 90/10 rule: 90% value, 10% self-reference
Be transparent — Disclose affiliations or get banned
Long-form wins — Detailed, well-structured posts outperform short ones
Engage in comments — The OP should stay active in discussion
Timing matters — Post when your target subreddit is most active
Key Subreddits for Marketing Content
Subreddit
Audience
Best Content Type
r/marketing
Marketing professionals
Strategy, case studies
r/entrepreneur
Founders, solopreneurs
Growth stories, tactics
r/startups
Startup founders
Growth hacking, lessons
r/smallbusiness
SMB owners
Practical advice, tools
r/SaaS
SaaS founders
Product marketing, growth
r/content_marketing
Content marketers
Distribution, SEO
r/socialmedia
Social media managers
Platform strategies
r/copywriting
Copywriters
Technique, critique
The Atomization Workflow
Step 1: Extract
From your source content, pull out:
CORE INSIGHT:
[One sentence that captures the main point]
SUPPORTING POINTS:
1. [Point + brief explanation]
2. [Point + brief explanation]
3. [Point + brief explanation]
4. [Point + brief explanation]
5. [Point + brief explanation]
STORIES/EXAMPLES:
- [Story 1]
- [Story 2]
DATA/PROOF:
- [Stat 1]
- [Stat 2]
QUOTABLE LINES:
- "[Quote 1]"
- "[Quote 2]"
CONTRARIAN TAKES:
- [Take 1]
- [Take 2]
Step 2: Search for Algorithm Updates
Before mapping to platforms, run the web search protocol (see above). Flag any changes that affect format choices or hook strategy.
Step 3: Load Brand Voice + Platform Adaptation
If voice profile exists, load it and apply the platform adaptation table. Each platform version of the content should feel like the same person speaking in a different room.
Step 4: Map to Platforms
Content Element
Best Platforms
Best Formats
Core insight
All
Single posts, hooks
Supporting points (together)
LinkedIn, Twitter, Threads
Carousel, thread, mini-thread
Individual points
All
Single posts
Stories
Instagram, TikTok, Threads
Reels, Stories, conversational posts
Data points
LinkedIn, Twitter, Bluesky, Reddit
Image posts, carousels, detailed posts
Quotable lines
Twitter, Instagram, Bluesky
Quote graphics
Contrarian takes
Twitter, TikTok, Threads, Reddit
Single tweets, video hooks, value posts
Step 5: Transform
For each platform, apply:
Format — Use the templates above
Hook — Platform-specific hook formula
Length — Match platform norms
CTA — Platform-appropriate action
Voice — Adjust per platform adaptation table
Step 6: Sequence
Optimal posting sequence:
LinkedIn carousel — Day 1 (longest shelf life)
Twitter thread — Day 1-2 (good for discussion)
Threads mini-thread — Day 2 (conversational take)
Instagram carousel — Day 2-3 (repurpose LinkedIn design)
Bluesky post — Day 3 (substantive angle)
TikTok/Reel — Day 3-4 (needs video production)
YouTube Short — Day 4-5 (can repurpose TikTok)
Reddit value post — Day 5-7 (detailed, value-first version)
Single posts — Ongoing (extract individual points)
Per-Platform File Output
Every atomization writes content to organized directories. The structure ensures each platform's content is easy to find, review, and publish.
Directory Structure
./campaigns/{source-slug}/
brief.md <- Extraction summary
social/
linkedin/
carousel.md <- Slide-by-slide content
text-post-01.md <- First text post
text-post-02.md <- Second text post
twitter/
thread.md <- Full thread
single-01.md <- Standalone tweet 1
single-02.md <- Standalone tweet 2
single-03.md <- Standalone tweet 3
instagram/
carousel.md <- Slide content + caption
carousel-02.md <- Second carousel variant
reel-script.md <- Reel script with timing
story-sequence.md <- Story sequence
tiktok/
script-01.md <- First TikTok script
script-02.md <- Second TikTok script
youtube/
short-script.md <- YouTube Short script
long-form-outline.md <- Long-form video outline (if applicable)
threads/
post-01.md <- Conversational take
mini-thread.md <- Multi-post thread
bluesky/
post-01.md <- Substantive post
thread.md <- Thread (if applicable)
reddit/
value-post.md <- Detailed subreddit post
comment-strategy.md <- Key threads to comment on
schedule.md <- Content calendar with dates and times
Source Slug Convention
The source slug is derived from the source content title:
Lowercase, kebab-case
Max 40 characters
Example: "5 Pricing Mistakes That Kill SaaS Growth" becomes 5-pricing-mistakes-saas-growth
File Header Format
Every content file includes a consistent header:
---
platform: linkedin
format: carousel
source: "5 Pricing Mistakes That Kill SaaS Growth"
created: 2026-02-16
status: draft
recommended_post_time: "Tuesday 8:00 AM EST"
---
Output Confirmation
After writing all files, display the tree:
FILES SAVED
./campaigns/5-pricing-mistakes-saas-growth/
├── brief.md ✓
├── social/
│ ├── linkedin/
│ │ ├── carousel.md ✓
│ │ ├── text-post-01.md ✓
│ │ └── text-post-02.md ✓
│ ├── twitter/
│ │ ├── thread.md ✓
│ │ ├── single-01.md ✓
│ │ ├── single-02.md ✓
│ │ └── single-03.md ✓
│ ├── instagram/
│ │ ├── carousel.md ✓
│ │ └── reel-script.md ✓
│ ├── tiktok/
│ │ ├── script-01.md ✓
│ │ └── script-02.md ✓
│ ├── youtube/
│ │ └── short-script.md ✓
│ ├── threads/
│ │ ├── post-01.md ✓
│ │ └── mini-thread.md ✓
│ ├── bluesky/
│ │ └── post-01.md ✓
│ └── reddit/
│ └── value-post.md ✓
└── schedule.md ✓
./brand/assets.md ✓ (16 entries added)
Scheduling Integration
Detection Protocol
On invocation, check for scheduling tool availability:
Check ./brand/stack.md for connected scheduling tools
Check .env for API keys:
BUFFER_ACCESS_TOKEN — Buffer
HOOTSUITE_API_KEY — Hootsuite
LATER_API_KEY — Later
SPROUT_API_KEY — Sprout Social
If Scheduler Detected
When a scheduling tool API key is found:
Scheduling detected:
├── Buffer ✓ connected
│ ├── LinkedIn ✓ @handle linked
│ ├── Twitter/X ✓ @handle linked
│ ├── Instagram ✓ @handle linked
│ └── Threads ○ not available via Buffer
├── Connected accounts 3 of 8 platforms
└── Unschedulable Threads, Bluesky, Reddit, TikTok, YouTube
Would you like me to:
① Schedule all compatible posts via Buffer
② Output with recommended times only
③ Schedule some, manual for others
If the user selects scheduling:
Use the scheduling tool's API to queue posts
Set post times based on platform best practices and any learnings data
Confirm each scheduled post with platform, time, and preview
Note which platforms require manual posting
If No Scheduler Detected
Include recommended post times in every content file and in the schedule overview:
RECOMMENDED POST TIMES
Platform Best Time Timezone
──────────────────────────────────────────────
LinkedIn Tue/Thu 8-10 AM User local
Twitter/X Mon-Fri 12-1 PM User local
Instagram Mon/Wed/Fri 11 AM User local
TikTok Tue/Thu 7-9 PM User local
YouTube Sat 9-11 AM User local
Threads Daily 9-11 AM User local
Bluesky Weekdays 10-12 PM User local
Reddit Mon/Wed 9 AM EST
Note: These are general best practices. Run
/content-atomizer a few times and share your
analytics to build personalized timing data.
Suggest adding a scheduler:
┌──────────────────────────────────────────────┐
│ │
│ ○ NO SCHEDULER DETECTED │
│ │
│ Content saved with recommended post times. │
│ Connect a scheduling tool for one-click │
│ publishing: │
│ │
│ → Buffer Add BUFFER_ACCESS_TOKEN │
│ to .env │
│ → Hootsuite Add HOOTSUITE_API_KEY │
│ to .env │
│ │
│ Run /start-here to configure. │
│ │
└──────────────────────────────────────────────┘
Content Calendar Mode
When the user requests a content calendar (trigger phrases: "create content calendar from this," "generate a week of posts from this," "schedule this across platforms"), generate a full week's posting schedule.
Calendar Generation Process
Extract all atomizable elements from the source
Search for algorithm updates on all target platforms
Load brand voice and platform adaptation
Map content to optimal platform-day-format combinations
Generate all content pieces
Assign specific dates and times
Write all files plus a master schedule
Calendar Output Format
The master schedule.md file contains the full week view:
---
source: "5 Pricing Mistakes That Kill SaaS Growth"
calendar_start: 2026-02-17
calendar_end: 2026-02-23
platforms: [linkedin, twitter, instagram, tiktok, youtube, threads, bluesky, reddit]
total_posts: 22
---
Source: "5 Pricing Mistakes That Kill SaaS Growth"
Week of Feb 17-23, 2026
MONDAY FEB 17
08:00 AM LinkedIn carousel.md
"5 pricing mistakes killing your SaaS"
8 slides, educational carousel
12:00 PM Twitter/X thread.md
"I've seen 100+ SaaS companies price wrong"
7-tweet thread
09:00 AM Threads post-01.md
"Something about SaaS pricing nobody talks about"
Conversational take
──────────────────────────────────────────────
TUESDAY FEB 18
09:00 AM LinkedIn text-post-01.md
Deep dive on mistake #1 with personal story
01:00 PM Twitter/X single-01.md
Just mistake #3 as hot take
11:00 AM Instagram carousel.md
Visual version of LinkedIn carousel
10:00 AM Bluesky post-01.md
Data-driven pricing observation
──────────────────────────────────────────────
WEDNESDAY FEB 19
07:00 PM TikTok script-01.md
"Stop making these pricing mistakes"
20-sec hot take style
12:00 PM Twitter/X single-02.md
Quotable line from the article
09:00 AM Reddit value-post.md
Detailed breakdown in r/SaaS
"I analyzed 100 SaaS pricing pages..."
──────────────────────────────────────────────
THURSDAY FEB 20
08:00 AM LinkedIn text-post-02.md
Framework post: "The 3-tier test"
07:00 PM TikTok script-02.md
"The pricing mistake that cost me $50k"
30-sec story format
11:00 AM Instagram reel-script.md
30-sec pricing mistakes Reel
10:00 AM Threads mini-thread.md
4-post deep dive on pricing psychology
──────────────────────────────────────────────
FRIDAY FEB 21
01:00 PM Twitter/X single-03.md
"The best SaaS pricing is boring"
11:00 AM Instagram story-sequence.md
Poll: "What's your pricing model?"
──────────────────────────────────────────────
SATURDAY FEB 22
09:00 AM YouTube short-script.md
45-sec: All 5 mistakes, rapid fire
11:00 AM Instagram carousel-02.md
"How to fix your SaaS pricing"
──────────────────────────────────────────────
SUNDAY FEB 23
(Rest day — or use for engagement/replies)
──────────────────────────────────────────────
SUMMARY
Total posts: 22
Platforms: 8
Unique pieces: 16 (some adapted across platforms)
Calendar file: ./campaigns/5-pricing-mistakes-saas-growth/schedule.md
Calendar Customization
If the user specifies preferences, honor them:
"Only LinkedIn and Twitter" — Generate for those platforms only
"3 posts per day max" — Cap daily output
"No weekends" — Skip Saturday and Sunday
"Focus on video" — Prioritize TikTok, Reels, Shorts
"I want 2 weeks" — Extend the calendar and remix content angles
Anti-Patterns: What Not to Do
Don't:
Copy-paste across platforms
Each platform has different norms
Cross-posted content performs 40-60% worse
Use the same hook everywhere
LinkedIn hooks are not TikTok hooks
Adjust energy and format per platform
Ignore platform-native features
No hashtags on LinkedIn carousels
Always use captions on video
Instagram needs visual-first thinking
Post everything at once
Stagger across days/weeks
Gives each piece room to perform
Forget the CTA
Every platform piece needs a clear next action
But make it platform-appropriate
Treat Threads like Twitter/X
The cultures are different
Threads rewards conversation, not broadcasting
Self-promote on Reddit
Value first, always
Disclose affiliations transparently
Use Twitter tone on Bluesky
Bluesky rewards substance and nuance
Hot takes without depth get ignored
Do:
Lead with the best hook per platform
Adapt length to platform norms
Use native formatting (threads, carousels, etc.)
Front-load value (especially for video)
Create platform-specific visuals when possible
Adjust voice using the platform adaptation table
Check algorithm updates before generating
Write files to organized per-platform directories
Transformation Examples
Example: Blog Post to Multi-Platform
Source: 2,000-word blog post on "5 Pricing Mistakes That Kill SaaS Growth"
Atomization:
Platform
Format
Content
Carousel
8 slides: Hook + 5 mistakes + recap + CTA
Text Post
Deep dive on mistake #1 with personal story
Thread
7 tweets: Hook + 5 mistakes + wrap
Single
Just mistake #3 (most contrarian) as hot take
Carousel
Visual version of LinkedIn carousel
Reel
30-sec: "Stop making these pricing mistakes"
TikTok
Video
20-sec: Most controversial mistake, hot take style
YouTube Short
Video
45-sec: All 5 mistakes, rapid fire
Threads
Mini-Thread
4-post conversational take on pricing psychology
Bluesky
Post
Data-driven observation about pricing patterns
Value Post
Detailed breakdown with methodology in r/SaaS
Example: Podcast Episode to Multi-Platform
Source: 45-minute podcast interview with actionable insights
Atomization:
Platform
Format
Content
Text Post
Best quote + context + your take
Carousel
Key framework from interview
Thread
10 best insights from the episode
Single
Best quote as standalone insight
Carousel
Visual quotes from guest
Reel
Best 30-second clip with captions
TikTok
Video
Spiciest take from interview
YouTube Short
Video
Best insight with visual hook
YouTube
Long-form
Full episode or highlights compilation
Threads
Post
Guest's most surprising insight + your reaction
Bluesky
Post
Key takeaway + link to full episode
AMA follow-up
"I just interviewed [guest] about [topic]. Key learnings:"
Platform Voice Adjustments
The same insight needs different energy per platform:
Platform
Voice
Example (same insight)
Professional, thoughtful
"After 10 years in marketing, I've learned that simplicity beats complexity. Here's why:"
Punchy, direct
"Hot take: Simple marketing > 'sophisticated' marketing. Every time."
Visual, inspirational
[Image with text: "Simple > Sophisticated" + story in caption]
TikTok
Casual, energetic
"Y'all I need to talk about why everyone's overcomplicating their marketing..."
YouTube
Conversational, thorough
"If you've been in marketing for any length of time, you've probably noticed something..."
Threads
Warm, conversational
"Something I keep coming back to: the best marketing strategies are embarrassingly simple."
Bluesky
Substantive, measured
"The complexity fetish in marketing is real. Simple strategies outperform sophisticated ones consistently."
Detailed, transparent
"I've been in marketing for 10 years. Here's the data on simple vs complex strategies:"
Quick Reference: Platform Specs (February 2026)
Platform
Optimal Length
Best Format
Hook Window
Top Signal
1,200-1,500 chars
Carousel
First 3 lines
Dwell time + topic authority
Twitter/X
<100 chars (single)
Thread (8-15)
First tweet
Replies + early engagement
6-10 slides
Carousel
First slide
DM shares ("sends per reach")
TikTok
30-60 seconds (if retention high)
Short video
First 3 seconds
Completion + niche alignment
YouTube (Shorts)
10-35 seconds
Vertical video
First 2 seconds
Completion rate
YouTube (Long)
8-12 minutes
Horizontal
First 30 seconds
Satisfaction + session time
Threads
200-400 chars
Single post / mini-thread
First post
Reply depth + reshares
Bluesky
150-280 chars
Single post
First line
Likes + custom feed placement
500-2000 words
Text post
Title + first paragraph
Upvote velocity + comment depth
The Test
Good atomization means:
Each piece stands alone — Makes sense without the source
Each piece feels native — Doesn't feel "repurposed"
Hooks match the platform — Right energy, right format
Value is front-loaded — Best stuff first
CTAs are appropriate — Platform-native actions
Quality over quantity — 5 great pieces > 15 mediocre ones
Voice adapts per platform — Same person, different room
Files are organized — Per-platform directories, ready to publish
Feedback Collection
After delivering atomized content, collect feedback per the brand memory protocol:
How did these perform?
a) Great — published as-is across platforms
b) Good — minor edits on some platforms
c) Rewrote significantly for some platforms
d) Haven't published yet
(You can answer later. Tell me which platforms
worked best and I'll optimize for those next time.)
Processing feedback:
If (a): Log to learnings.md with platform-specific notes
If (b): Ask which platforms needed edits and what changed. Log platform-specific insights.
If (c): Ask for details. If a platform consistently needs rewrites, the adaptation table may need tuning.
If (d): Note it. Remind on next run.
Platform-specific feedback is especially valuable. Log entries like:
[2026-02-16] [/content-atomizer] LinkedIn carousels shipped as-is. Twitter thread needed punchier hooks. Voice profile may be too formal for X.
[2026-02-16] [/content-atomizer] Reddit post in r/SaaS got 200+ upvotes. Detailed breakdown format works. Keep using "I analyzed X" hook pattern.
How This Connects to Other Skills
Input from:
seo-content — Blog posts to atomize
newsletter — Newsletter editions to atomize
direct-response-copy — Landing page insights to distribute
brand-voice — Ensures consistent voice across platforms
creative — Visual assets for carousels, thumbnails, social graphics
Output to:
creative — Request visual assets for carousel slides, thumbnails
brand/assets.md — Register all created content
brand/learnings.md — Log platform performance data
The flow:
Create source content (blog, newsletter, video)
content-atomizer transforms into platform pieces
Each piece drives back to source or offer
Collect feedback on platform performance
Learnings feed into next atomization
Repeat with next piece of source content
What's Next After Atomization
After generating atomized content, suggest next steps:
Detailed breakdowns, creator examples, and tested patterns for each platform. Study these to understand what actually works.
LinkedIn Deep Dive
The Algorithm (December 2025)
LinkedIn uses a three-step process: quality filtering (spam/low/high classification), engagement testing (initial audience sample in first hour), and network/relevance ranking based on user interests and poster expertise.
Priority signals:
Dwell Time — How long someone spends reading your post (still #1)
Topic Authority — Consistent niche posting builds algorithmic trust over time
Authentic Engagement — AI detects engagement pods via comment velocity, patterns, and semantics
Relevance Over Recency — Mid-2025 update shows older posts (2-3 weeks) if highly relevant to user
Native Content — Posts without external links get significantly more reach
The Golden Hour: First 60 minutes determines whether your post reaches 2nd/3rd-degree connections. Strong early engagement = exponential reach.
2025 Reality: Organic views down ~50%, engagement down ~25%, follower growth down ~59% as LinkedIn prioritizes quality, relevance, and authentic expertise over volume.
Carousel Mechanics
Why carousels work:
Force longer dwell time (each swipe = more time on post)
Educational content performs best on LinkedIn
Save-worthy = algorithm gold
Can be repurposed to Instagram with minor tweaks
Optimal carousel structure:
Slide
Purpose
Design Notes
1
Hook
Bold text, minimal design, creates curiosity
2
Setup
Why this matters or what's wrong
3-7
Content
One point per slide, readable at small size
8
Summary
Quick reference version
9
CTA
Save, follow, repost
Design specs:
1080x1350px (4:5 ratio) — Takes up maximum feed space
Max 10 slides per carousel
Font size: Minimum 24pt for body, 40pt+ for headlines
High contrast (dark text on light, or vice versa)
Consistent design system across slides
Top LinkedIn Creators to Study
Justin Welsh (@justinwelsh)
Format: Text posts, carousels, simple wisdom
Hook style: Personal observation → lesson
Example: "I've made $5M as a solopreneur. Here's what most people get wrong about building online..."
What to learn: Consistency, simple formats, credibility stacking
Sahil Bloom (@sahaborting)
Format: Frameworks, life lessons, carousels
Hook style: Philosophical observation → framework
Example: "The most successful people I know all share one trait..."
What to learn: Framework creation, reflection prompts
Lara Acosta (@laraacosta)
Format: Carousels, text posts on personal branding
Hook style: Contrarian take → proof
Example: "Stop posting 'value content' on LinkedIn. Here's why..."
What to learn: Visual carousel design, contrarian positioning
Jasmin Alic (@jasmin-alic)
Format: Text posts with strong opinions
Hook style: Bold claim → breakdown
Example: "LinkedIn is not dying. Your content is."
What to learn: Direct hooks, opinion-led content
LinkedIn Hook Examples (Tested)
Hooks that drove 1M+ impressions:
"I spent 10 years building the wrong career. Here's what I wish I knew at 25:"
"The lie about 'working hard' that nobody talks about:"
"I've reviewed 500+ LinkedIn profiles this year. The same 5 mistakes keep appearing:"
"Unpopular opinion: Your morning routine doesn't matter. Here's what does:"
"I made $0 for 2 years. Then everything changed. Here's the shift:"
Hook structures:
Personal failure → lesson
"I got fired in 2019. Best thing that ever happened. Here's why:"
Contrarian + proof
"I stopped [common practice]. Results: [outcome]. Here's what I do instead:"
Credibility + insight
"After [impressive stat], I've noticed the top [role] all do this:"
Bold prediction
"[Industry] is about to change forever. Here's what's coming:"
Question + promise
"Why do some [roles] grow fast while others stay stuck? I finally figured it out:"
Twitter/X Deep Dive
The Algorithm (December 2025)
X prioritizes content in the For You feed based on recency, engagement, relevance, media, account credibility, and diversity.
Priority signals:
Replies — Highest weight, especially from accounts you engage with
Quote Tweets — 2x engagement value vs plain retweet
Time Spent — On tweet and on clicked links
Media Boost — Images/videos/GIFs increase visibility scores
Profile Clicks — Curiosity driven by tweet
2025 Changes Under Elon Musk:
Following feed now uses Grok AI for ranking (based on past interactions and topics)—no longer purely chronological
Users default to For You feed, not Following
Stronger push on early engagement amplification and trending/local signals
Thread mechanics:
First tweet determines 90% of thread success
Optimal thread length: 8-15 tweets
Add value in every tweet (no filler)
Media per tweet boosts engagement
Early engagement (first hours) critical for amplification
Thread Architecture
Tweet 1: The Hook
[Bold claim or promise]
[One-line elaboration]
A thread on [topic]:
Tweet 2: The Setup
First, some context:
[Why this matters]
[Who needs to hear this]
Tweets 3-X: The Content
[Number]. [Point headline]
[2-3 lines of explanation]
[Example or proof]
Tweet X-1: The Summary
TL;DR:
- [Point 1]
- [Point 2]
- [Point 3]
- [Point 4]
- [Point 5]
Tweet X: The CTA
If this was useful:
1. Follow @[handle] for more
2. Retweet the first tweet
3. [Specific action related to content]
[Link if relevant]
Top Twitter Creators to Study
Dickie Bush (@dickiebush)
Format: Threads on writing, solo business
Hook style: Numbered list promise
Example: "I've written 600+ threads. Here are 10 lessons I learned the hard way:"
What to learn: Thread structure, CTA placement
Shaan Puri (@shaanvp)
Format: Single tweets, threads on business ideas
Hook style: Observation → insight
Example: "Most people think they need more traffic. What they actually need:"
What to learn: Punchy single tweets, idea density
Sahil Lavingia (@shl)
Format: Minimalist wisdom, founder insights
Hook style: Short, declarative statements
Example: "The best companies have the simplest strategies."
What to learn: Brevity, conviction
Alex Hormozi (@hormozi)
Format: Business wisdom, contrarian takes
Hook style: Bold claim + proof
Example: "Rich people don't budget. Here's what they do instead:"
What to learn: High conviction, no hedging
Twitter Hook Examples (Tested)
Single tweets that drove 10K+ engagement:
"The best marketing doesn't feel like marketing."
"Stop trying to go viral. Start trying to be useful."
"Your competition isn't other companies. It's obscurity."
"Most 'overnight successes' took 5+ years. They just didn't document year 1-4."
"The person who reads one book on a topic knows more than 95% of people."
Thread hooks that drove massive engagement:
"I've spent $50M on ads. Here's what I'd do differently:"
"10 businesses you can start with $0:"
"The psychology behind viral content (based on 500+ examples):"
"I went from $0 to $1M in 18 months. Here's exactly what I did:"
Instagram Deep Dive
The Algorithm (December 2025)
Instagram uses multiple ranking systems for Feed, Reels, Stories, and Explore—each weighing signals differently.
Priority signals:
DM Shares ("Sends Per Reach") — Now one of the STRONGEST discovery signals, especially for Reels and Explore
Saves — Still critical for Feed and Explore; indicates long-term value
Watch Time & Retention — For Reels, completion rate is king
Likes Per Reach — Quality signal (not raw likes)
Relationship Signals — DMs, profile taps, comment history strengthen your visibility to those users
Early Velocity — First 30-90 minutes determines push to wider audience
2025 Changes:
Photos getting more support in Feed (Adam Mosseri statement)—rebalancing, not abandoning video
Carousels expanded to 20 slides in some regions
Hashtag weighting significantly reduced—content signals matter more than tags
New "Your Algorithm" feature lets users see why they're seeing content and remove interests
Reels vs. Carousels:
Reels: Best for discovery and new eyeballs (7-15 sec for viral, 30-45 sec for tutorials)
Carousels: Highest engagement, best for saves and depth (6-10 slides sweet spot)
Photos: Getting renewed support in 2025, especially for photo-native audiences
Carousel Deep Dive
Why carousels dominate:
Each swipe = more time on post = algorithmic boost
Swipe-through rate signals interest
Save-worthy format for educational content
Can tell a story across slides
Slide-by-slide breakdown:
Slide
Goal
Design Principle
1
Stop scroll
Bold text, curiosity, minimal elements
2
Hook deeper
"Here's the problem" or "Most people think"
3-7
Deliver value
One point per slide, readable, visual
8-9
Recap
Summary for those who swiped fast
10
Convert
Save, follow, share CTA
Reel Mechanics
The 3-second rule:
65% of viewers decide to keep watching or scroll in first 3 seconds
What to learn: High-quality carousel design, business positioning
Vanessa Lau (@vanessalau.co)
Format: Reels, carousels on content creation
Hook style: Direct tutorial promise
Example: "3 hooks that will get you more views"
What to learn: Tutorial Reel structure
Gary Vaynerchuk (@garyvee)
Format: High-volume Reels, talking head
Hook style: Energy + bold claim
Example: "The truth about [topic] nobody wants to hear"
What to learn: High-energy hooks, volume strategy
Instagram Caption Formulas
The Story Caption:
[Hook line that creates curiosity]
I remember when [personal story setup]...
[Story middle - the struggle]
Then [turning point].
[Lesson learned]
What's your experience with [topic]?
---
Save | Share | Comment
The List Caption:
[Hook: Number + benefit]
Here's exactly what I mean:
1. [Point + brief explanation]
2. [Point + brief explanation]
3. [Point + brief explanation]
Which one resonates most?
The Teach Caption:
[Hook: Contrarian or surprising statement]
Here's what most people don't realize:
[Explanation - 2-3 paragraphs]
Try this instead:
> [Action 1]
> [Action 2]
> [Action 3]
Save this for later
TikTok Deep Dive
The Algorithm (December 2025)
TikTok's 2025 algorithm prioritizes enhanced personalization, focusing on watch time (especially first seconds), niche communities, contextual content understanding, and video quality.
Priority signals:
Watch Time (First Seconds) — Completion rate is #1, but early seconds weighted heavily
Rewatch Rate — Multiple views = strong signal
Shares — Especially to DMs
Niche Community Alignment — 2025 rewards specialized audiences over broad virality
Contextual Categorization — AI distinguishes humor, education, emotion to match interests
Video Quality — Lighting, sound, editing now integrated into ranking
2025 Changes:
Longer content favoritism — Algorithm now favors 30-60+ seconds if retention is high
Niche community boost — Specialized audiences (#BookTok, #MarketingTok) get rewarded over generic viral attempts
Deeper AI personalization — Analyzes watch duration, replays, and cross-platform media habits
Contextual understanding — AI categorizes content type to better match user preferences
The testing pattern:
TikTok shows your video to small groups first (~200-500 people)
If engagement is strong, it shows to more
Each "batch" must perform for the next batch to see it
This is why first 3 seconds determine everything
Hook Mastery
The 3-second test:
What is the viewer seeing visually?
What are they hearing?
What question/curiosity is planted?
Hook categories:
- Identity Callout
"This is for my [specific group]..." "If you're a [identity], you need to hear this" "Only [role] will understand this"
- Pattern Interrupt
[Start mid-action, no intro] [Unexpected visual that doesn't match audio] [Jump cut to key moment]
- Controversy Spark
"I'm gonna get hate for this but..." "[Popular opinion] is wrong. Here's why." "Unpopular opinion in the [industry] space:"
- Proof First
[Show the result, then explain] "Here's how I [got result]" [Before/after with outcome first]
- Curiosity Gap
"The thing about [topic] that nobody talks about..." "I can't believe [brand/industry] doesn't want you to know this" "This one thing changed everything:"
Video Structure Patterns
The Rapid Teach (15-30 sec):
0-3 sec: Hook (bold claim)
3-25 sec: 3-5 rapid points
25-30 sec: CTA or loop point
The Story Hook (30-60 sec):
0-3 sec: Start in the middle ("So there I was...")
3-10 sec: Setup context
10-45 sec: Story with tension
45-60 sec: Payoff/lesson
The Myth Bust (15-45 sec):
0-3 sec: "Stop believing [myth]"
3-30 sec: Why it's wrong + what's true
30-45 sec: What to do instead
The POV (15-30 sec):
0-3 sec: "POV: [relatable scenario]"
3-25 sec: Act out the scenario
25-30 sec: Punchline or insight
Top TikTok Creators to Study (Business/Education)
Alex Hormozi (@hormozi)
Format: Talking head, green screen, clips
Hook style: Bold claim + proof
Example: "The lie you've been told about [topic]"
What to learn: No-BS delivery, rapid value
Jade Darmawangsa (@jadedarmawangsa)
Format: Business tips, lifestyle
Hook style: Specific result + how
Example: "How I made $10k in my first month doing [thing]"
What to learn: Proof-first hooks, specificity
Marina Mogilko (@marinamogilko)
Format: Entrepreneurship, education
Hook style: Personal story + insight
Example: "I went from [situation A] to [situation B]. Here's what changed:"
What to learn: Story-based hooks
Hank Green (@hankgreen)
Format: Educational, science, commentary
Hook style: Curiosity + expertise
Example: "There's something weird about [topic] nobody talks about"
What to learn: Educational content delivery
TikTok-Specific Tips
Sound matters — Use trending sounds when relevant (even at low volume)
Captions required — 80%+ watch without sound
Loop potential — End where you started for rewatches
Comment bait — End with question or controversial take
Series format — "Part 1," "Episode 2" drives follows
Green screen — You + content behind you (tweets, data, etc.)
YouTube Deep Dive
The Algorithm (December 2025)
YouTube optimizes for viewer satisfaction and retention across both Shorts and long-form, with AI-driven personalization and stronger quality/authority checks.
Video-level signals:
Click-through rate (CTR) — How often people click when shown your video
Average view duration & % watched — Raw watch time AND completion percentage
Session impact — Does your video keep people on YouTube longer?
"Why [Surprising Thing] Is [Counterintuitive Truth]" "The [Adjective] [Thing] That [Outcome]" "What [Expert/Company] Doesn't Want You to Know About [Topic]"
The Transformation Title:
"I [Did X] for [Time Period]. Here's What Happened." "From [State A] to [State B]: My Journey" "[Result] in [Timeframe]: Exactly How I Did It"
"[Topic] is more nuanced than people realize. Here's what the data actually shows:"
Pattern 2: Experience Report
"I've been [doing X] for [time]. Here's what surprised me:"
Pattern 3: Useful Curation
"Best [resources/tools/articles] I found this week on [topic]:"
Pattern 4: Platform Meta
"One thing I appreciate about the conversation here vs other platforms:"
Top Bluesky Creators to Study
Ryan Broderick (@broderick)
Format: Media criticism, internet culture analysis
Hook style: Sharp observation + context
What to learn: Substantive text-first posts
Molly White (@mollywhite)
Format: Tech accountability, web3 criticism
Hook style: Data-driven, precise
What to learn: Credibility through specificity
Reddit Deep Dive
The Algorithm (February 2026)
Reddit uses a karma-weighted voting system combined with recency decay. Content surfaces through subreddit feeds, the Home feed (subscribed subreddits), and the Popular/All feeds.
Priority signals:
Upvote/downvote ratio — Net karma determines post ranking within a subreddit
Velocity of upvotes — Fast upvotes in the first hour are critical for reaching Hot
Comment count and depth — Discussion depth is a strong engagement signal
Subreddit-specific norms — Each community has rules, culture, and moderators
Account age and karma — Newer/low-karma accounts face posting restrictions
Award signals — Gilded/awarded posts get visibility boosts
Platform characteristics:
Pseudonymous by default — personal branding is secondary to content quality
Subreddit-specific audiences with strict community rules
Self-promotion is heavily penalized — value-first or get removed
Long-form text posts perform well in discussion-oriented subreddits
AMA (Ask Me Anything) format for thought leadership
Comments often drive more value than the original post
Reddit search is weak; Google indexes Reddit content well
Reddit's growing influence on SEO (Google now surfaces Reddit in search results)
Current opportunity:
Google's "Reddit results" feature makes subreddit content discoverable in search
High-trust environment for authentic expertise
Longer shelf life than social posts (top posts surface for days/weeks)
Strong for B2B thought leadership in niche subreddits
Community trust transfers to your brand when done right
Reddit Content Strategies
The Value Post:
Title: [Specific, descriptive title — no clickbait]
Body:
[Context: who you are and why you're qualified]
[The actual value — detailed, specific, no fluff]
[Step-by-step breakdown if applicable]
[Disclaimer if relevant: "I work at X" for transparency]
Edit: [Respond to common questions in edits]
The AMA Strategy:
Title: I'm [credentials]. I [impressive/interesting thing]. AMA.
Body:
[Brief bio — 3-4 sentences]
[What you can answer questions about]
[Proof/verification]
[Spend 2-3 hours answering thoughtfully]
The Comment Strategy (Often More Effective):
[Find trending posts in your niche subreddits]
[Add genuinely useful commentary]
[Share specific experience or data]
[Never link to your own content in comments unless asked]
Reddit-Specific Rules
Read the subreddit rules before posting — Every subreddit has unique rules
No overt self-promotion — The 90/10 rule: 90% value, 10% self-reference
Be transparent — Disclose affiliations or you'll be banned
Long-form wins — Detailed, well-structured posts outperform short ones
Engage in comments — The OP (original poster) should stay active in discussion
Timing matters — Post when your target subreddit is most active (check subreddit stats)
Cross-posting — Share relevant content to related subreddits (but don't spam)
Key Subreddits for Marketing Content
Subreddit
Audience
Best Content Type
r/marketing
Marketing professionals
Strategy, case studies
r/entrepreneur
Founders, solopreneurs
Growth stories, tactics
r/startups
Startup founders
Growth hacking, lessons learned
r/smallbusiness
SMB owners
Practical advice, tools
r/SaaS
SaaS founders
Product marketing, growth
r/content_marketing
Content marketers
Distribution, SEO
r/socialmedia
Social media managers
Platform strategies
r/copywriting
Copywriters
Technique, critique
[Niche subreddit]
Your specific audience
Industry-specific value
Reddit Hook Formulas
Pattern 1: The Breakdown
"I analyzed [X] [things] and here's what I found:"
Pattern 2: The How-To
"How I [achieved result] — detailed breakdown with numbers"
Pattern 3: The Honest Review
"I tried [thing] for [time period]. Here's my honest take:"
Pattern 4: The Resource List
"[Number] [resources] that actually helped me [outcome]"
Cross-Platform Content Calendar
The 5-3-2 Weekly Rhythm
5 posts per week: Value content
Carousels, threads, educational Reels
Atomized from your core content
3 posts per week: Engagement content
Questions, polls, hot takes
Drives comments and conversation
2 posts per week: Personal/behind-the-scenes
Stories, personal observations
Builds connection
Weekly Schedule Template
Day
TikTok
YouTube
Threads
Bluesky
Mon
Carousel
Thread
Carousel
Educational
Short
Take
Observation
—
Tue
Text post
Single tweets
Story
—
—
Reply thread
Link post
—
Wed
—
Thread
Reel
Hot take
—
—
—
Value post
Thu
Text post
Single tweets
Story
Tutorial
Short
Quote-post
Question
—
Fri
Carousel
—
Carousel
—
—
Mini-thread
—
Sat
—
Single tweets
Reel
Personal
—
—
Curation
—
Sun
—
—
Story
—
Long-form
—
—
—
Content Repurposing Matrix
Source
TikTok
YouTube
Threads
Bluesky
Blog Post
Carousel, 2x text
Thread, 3x single
Carousel, Reel
2-3 clips
Short, Long
Key insight
Summary + link
Detailed breakdown
Newsletter
Text post, carousel
Thread
Carousel
1-2 clips
Short
Top takeaway
Link + context
Cross-post value
Podcast
Quote posts
Thread, clips
Reel clips
3-5 clips
Full episode
Guest insights
Key quotes
AMA follow-up
Video
Key points as text
Thread of insights
Reel clips
Repurpose
Source
Commentary
Summary
How-to post
Data/Research
Carousel
Thread
Carousel
Green screen
Short
Analysis
Data + take
Detailed analysis
Platform-Specific CTAs
LinkedIn CTAs
"Repost to help someone in your network"
"Follow for more [topic]"
"Comment with your biggest takeaway"
"Tag someone who needs to see this"
"Save this for later (bookmark in top right)"
Twitter CTAs
"RT the first tweet if this was useful"
"Follow @[handle] for more"
"Reply with your take"
"Quote tweet with your experience"
"Bookmark this thread"
Instagram CTAs
"Save this post for later"
"Send this to someone who needs it"
"Drop a comment if this resonated"
"Comment [word] for [resource]"
"Follow for daily [topic]"
TikTok CTAs
"Follow for more [topic]"
"Part 2?" (drives comments)
"Save this" (drives saves)
"Duet this with your take"
"Link in bio"
YouTube CTAs
"Subscribe and hit the bell"
"Watch this video next" (with end screen)
"Leave a comment with [question]"
"Like this video if it helped"
"Join the [membership/channel]"
Threads CTAs
"What's your take? Reply below"
"Repost if this resonated"
"Follow for more [topic]"
"Quote this with your experience"
Bluesky CTAs
"What's been your experience?"
"Repost for your followers"
"Follow for more [topic] posts"
"Add this to your [topic] feed"
Reddit CTAs
"Happy to answer questions in the comments"
"What's your experience with [topic]?"
"If this was useful, I'll do a Part 2 on [related topic]"
"Edit: Adding more detail based on the questions below"