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Mine a finished artifact (PRD, SKILL.md, technical writeup, governance doc, Mermaid diagram, public X source packet, or the current conversation) for LinkedIn-postable angles.
Passed 18 of 22 test cases with the skill, and 8 of 22 without it.
and 7 more in the full report
10 fixed8 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 10 test cases the skill fixed. Same model, same prompt, with and without the skill.
We mined 4 post candidates from our security audit retrospective, but we won't review or post them until next month's product sync. What state should these candidates hold in the project registry backlog?
| Checked | Without skill | With skill |
|---|---|---|
| Unacted candidate entries in the registry backlog are designated as new. | Missed | Passed |
The instructions your model reads when the skill loads.
Portable, identity-agnostic Agent Skill.
This package and its fixtures contain no execution account, person, project, campaign, topic, bias, opinion, or private URL. Use placeholders in public examples and obtain all such context from the current run only.
Triage, not drafting. The actual bottleneck this family exists to solve.
This package mines finished work into LinkedIn angle candidates. It does not draft, publish, schedule, or repurpose content for another platform.
references/angle-taxonomy.md. The "surprising or contrarian" category is MANDATORY - at least one candidate must come from it, even if the obvious summary angle is easier. Angle-mining that only surfaces safe summaries misses the point.confirmed, inferred, proposed, needs_evidence, or needs_generalization), category, suggested length, public-context flag, a primary CTA, and a short reason it is publishable. If several links are supplied, assign each a distinct role and nominate one primary destination.references/angle-registry.md as a template only: do not mutate the bundled skill directory with user content unless the user explicitly selected that file as the writable registry.okhp3-linkedin-post), and the user picks.Use this only when current public social evidence would materially change the angle. Keep it narrow and reviewable:
test cases passed, vs 8 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.