`I do consulting. Like most people who sell a service, I know I should be active on Reddit and LinkedIn β finding people with the problem I solve and being genuinely helpful. I never do it consistently, because the manual loop is miserable: search, scroll, judge relevance, figure out what to even say, repeat.
So I tried to automate the boring parts with a Claude Code skill. And the first version taught me something that reframed the whole thing.
My first runs surfaced ~10 posts that all matched my topic β and were almost entirely other consultants posting sales content. Competitors. Not a single actual buyer.
It took me a minute to see why, and it's obvious in hindsight: keyword search returns whatever is published about a topic, and what's published is supply-side. Search "leadership consulting" and you get people
Completely different words. So the fix wasn't better ranking β it was searching the pain your buyer voices, not the category you sell.
delta-engage is an open-source Claude Code skill. Twice a week it:
buyer
/ peer_competitor
/ kol
/ noise
β so a competitor's sales post never shows up as a leadThe one rule it never breaks: you write the final comment and post it manually from your own account. It prepares; you act.
``plaintext`
π― Engagement digest β Thu 18 Jun 2026 Β· 2 to engage Β· 1 partnership
ENGAGE (your ICP)
Comment (edit before posting):
The fix that worked for us wasn't a new tool β it was deleting the ~40% of
alerts that never led to action, then routing the rest by severity. What's
your noisiest alert source right now, and does anyone own tuning it?
β οΈ Safety: r/ExperiencedDevs β no tools/links; keep it experience-led, personalize before posting.
π€ PEERS & PARTNERSHIPS (relationship plays β engage, don't pitch)
Logistics in scripts, judgment in prompts. The deterministic, fragile stuff β scraping, dedup, the ranking math, recurrence tallying β lives in Python that runs without into the model's context. The judgment β refining the ICP, classifying intent, drafting the comment β is left to Claude. Keeping those separate made the whole thing both cheaper and more reliable.
Cookieless by rule. LinkedIn discovery uses only logged-out/public actors β it never touches your session, so there's zero account-ban risk. The adapter literally refuses any input carrying a session cookie. (You engage manually anyway, so the skill never needs your login.)
Reddit-safe drafting. Reddit's spam filters punish link-dropping, copy-paste comments, and β increasingly β AI-sounding text. So the skill bakes in the current anti-shadowban practices (the 9:1 rule, per-subreddit norms, new-account ramps) and treats "personalize the draft before posting" as a safety requirement, not just etiquette.
BYOK. It runs on your own Apify token. No shared keys, no lock-in, no licensing chokepoint β a lesson the whole "Proxycurl shut down and stranded everyone" saga taught the space.
One paste into Claude Code β it clones the skill and runs setup:
bash
git clone --depth 1 https://github.com/newan2001/delta-engage.git ~/.claude/skills/delta-engage && cd ~/.claude/skills/delta-engage && ./setup
Then run /delta-engage
. The first run reads your site/docs to draft your ICP (you confirm it), does a live digest so you see it work, and offers to set a Mon/Thu routine that delivers to Slack, Notion, or just in-app.
It's MIT-licensed and on GitHub: [github.com/newan2001/delta-engage](https://github.com/newan2001/delta-engage)
If you try it, I'd genuinely love feedback β especially on the intent classification, since that's where the "customers not competitors" magic either works or doesn't. Issues and PRs welcome.`