Individual skill
viral-linkedin-lead-magnet-post
Use this skill when writing a LinkedIn post that gives away a lead magnet and drives comment-based claims: a giveaway post, "comment X to get it" post, or a rewrite/diagnosis of one that underperformed. Also fires for "write my lead magnet post", "giveaway post for my freebie", "promote my resource on LinkedIn". Produces post copy — hook, pain block, deliverable stack, CTA — calibrated against a 100-post performance dataset of high- vs low-comment posts, plus media direction and a first-comment draft when a sample exists.
skills/pete-mientkiewicz/viral-linkedin-lead-magnet-post/SKILL.md
Source commit 5d786aad0c7b2ca59b1abf1f601f9407ca261996
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
- No
- Skill scan complete
- Yes
- Observed behavior
- Instructions only
- Last checked
- Nov 11, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 237
- Repository last updated
- Oct 20, 2026
- License
- MIT
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- marketing Declared skill tag
- demand-gen Declared skill tag
- marketing Derived category
- writing Derived category
Files and excerpt
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Browse files
SKILL.mdcore · 5,618 bytesreferences/hook-angles.mddoc · 3,860 bytesreferences/titles-and-deliverables.mddoc · 2,449 bytesreferences/voice-and-structure.mddoc · 4,369 bytes
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# Viral LinkedIn Lead Magnet Post
Fires when someone wants a LinkedIn post promoting a free resource, playbook,
template pack, or checklist through a "comment WORD to get it" mechanic, or
wants an underperforming one diagnosed and rewritten.
Produces: the post ready to paste, one media-direction line, a build-scope
note, and a first-comment draft when a shareable sample exists.
The formula is calibrated against a 100-post performance dataset (top 15 vs
bottom 50 by engagement). Read `references/voice-and-structure.md` before
writing any copy — it holds the structural rules and the calibration numbers
behind them.