Content Atomizer - Claude skill for repurposing content across platforms

A developer released Content Atomizer, a Claude skill that transforms a single piece of content into platform-optimized assets across LinkedIn, Twitter/X, Instagram, TikTok, YouTube, Threads, Bluesky, and Reddit. The skill reads brand voice profiles, performs live web searches for algorithm changes, and writes per-platform files to organized campaign directories.

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 loading 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 Loading 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 LinkedIn Professional, thoughtful Medium-high Longer, detailed Expertise, credibility Twitter/X Punchy, direct High Short, dense Speed, wit, conviction Instagram 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 Reddit Detailed, transparent Low-key Long-form text Value, specificity, proof Example — same insight, eight platforms: Platform Adaptation LinkedIn "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." Instagram 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:" Reddit "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 LinkedIn 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:" Instagram 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:" Reddit 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 Comment 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 --- Content Calendar: 5 Pricing Mistakes 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 LinkedIn Carousel 8 slides: Hook + 5 mistakes + recap + CTA LinkedIn Text Post Deep dive on mistake 1 with personal story Twitter Thread 7 tweets: Hook + 5 mistakes + wrap Twitter Single Just mistake 3 most contrarian as hot take Instagram Carousel Visual version of LinkedIn carousel Instagram 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 Reddit 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 LinkedIn Text Post Best quote + context + your take LinkedIn Carousel Key framework from interview Twitter Thread 10 best insights from the episode Twitter Single Best quote as standalone insight Instagram Carousel Visual quotes from guest Instagram 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 Reddit 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 LinkedIn Professional, thoughtful "After 10 years in marketing, I've learned that simplicity beats complexity. Here's why:" Twitter Punchy, direct "Hot take: Simple marketing 'sophisticated' marketing. Every time." Instagram 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." Reddit 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 LinkedIn 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 Instagram 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 Reddit 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: 1. Identity Callout "This is for my specific group ..." "If you're a identity , you need to hear this" "Only role will understand this" 2. Pattern Interrupt Start mid-action, no intro Unexpected visual that doesn't match audio Jump cut to key moment 3. Controversy Spark "I'm gonna get hate for this but..." " Popular opinion is wrong. Here's why." "Unpopular opinion in the industry space:" 4. Proof First Show the result, then explain "Here's how I got result " Before/after with outcome first 5. 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 LinkedIn Twitter Instagram TikTok YouTube Threads Bluesky Reddit 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 — Comment Sat — Single tweets Reel Personal — — Curation — Sun — — Story — Long-form — — — Content Repurposing Matrix Source LinkedIn Twitter Instagram TikTok YouTube Threads Bluesky Reddit 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"