agentleFS
imMamdouhaboammarimMamdouhaboammar/linkedin-animated-infographics/skills/caption/SKILL.md

caption

Skill14 starsChanged 3 months agoMITView on GitHub

Write or edit evidence-safe LinkedIn captions, opening hooks, CTAs, and first comments using one caption archetype, mobile truncation discipline, and the repository anti-slop rules.

2 other projects use a version of this.

Adopted by

Most recently taken up by

The file

We split this skill into the rules it gives an agent

10 rules. About 0 are common, 6 are distinctive, and 4 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈6

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 4

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Write or evaluate the post caption and opening hook without weakening evidence or turning the copy into generic marketing language.

    line 10
  2. Very specific:

    Read helper/GUIDE.md first.

    line 12
  3. Very specific:

    Use for a new caption, hook, opening line, CTA, first comment, caption rewrite, or caption QA.

    line 18
  4. Very specific:

    Read references/caption-patterns.md and the active helper gates.

    line 34
  5. Very specific:

    When the subject is a repo, Plugin, Skill, workflow, technical tool, curated collection, belief correction, recent-signal research story, …

    line 35
  6. Distinctive:

    Keep line 1 compact enough to survive the mobile truncation cut.

    line 38
  7. Distinctive:

    Keep one idea per line and use deliberate whitespace.

    line 39
  8. Distinctive:

    Use specific names and numbers only when evidence supports them.

    line 40
  9. Distinctive:

    Use one CTA at the end unless the chosen archetype intentionally has none.

    line 41
  10. Distinctive:

    Run anti-slop checks. Reject denial-then-reveal constructions, generic puffery, faux insight, repetitive recap, and buzzword substitution.

    line 42

≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Caption

Purpose

Write or evaluate the post caption and opening hook without weakening evidence or turning the copy into generic marketing language. Attention-bearing copy should earn the click; literal information should remain literal when clarity is the job.

Read helper/GUIDE.md first. For Info-stories, also read skills/info-stories/references/hook-driven-design-copy.md.

For repo explainers, Plugin or Skill stacks, technical tools, curated catalogues, belief-correction posts, recent-signal stories, GIF captions, animated infographic companions, or link-heavy first comments, also read references/linkedin-caption-narrative.md before drafting.

Use when

Use for a new caption, hook, opening line, CTA, first comment, caption rewrite, or caption QA. Use the caption-writer worker inside the full parent workflow.

Inputs

  • approved facts/evidence
  • audience and one primary takeaway
  • selected creative concept and story brief when available
  • CTA or explicitly CTA-free intent
  • language and any brand/voice constraints

Outputs

Return finished caption copy, first-comment copy when applicable, selected caption archetype, hook mechanism, and any unsupported claim that prevents a safe final version.

Procedure

  1. Read references/caption-patterns.md and the active helper gates.
  2. When the subject is a repo, Plugin, Skill, workflow, technical tool, curated collection, belief correction, recent-signal research story, GIF, or animated infographic, read references/linkedin-caption-narrative.md and let it own the mechanism-first narrative, visual-caption division of labor, and first-comment utility split.
  3. Pick one caption archetype and stay in it: Numbered Inventory, Result Case Study, Bundle Manifest, Setup Walkthrough, Operating Story, Belief Correction, or Catalogue Tease.
  4. Apply hooked-design-copy to line 1. Use specificity, supported tension, concrete outcome, recognizable problem, useful surprise, or strong framing. A portable generic opening fails.
  5. Keep line 1 compact enough to survive the mobile truncation cut; under roughly 55 characters is a strong default when the language allows it.
  6. Keep one idea per line and use deliberate whitespace. Do not let a short-form caption collapse into dense paragraphs.
  7. Use specific names and numbers only when evidence supports them. Unsupported precision is removed, not approximated.
  8. Use one CTA at the end unless the chosen archetype intentionally has none.
  9. Run anti-slop checks. Reject denial-then-reveal constructions, generic puffery, faux insight, repetitive recap, and buzzword substitution. No em dashes.
  10. Preserve useful voice and concrete mechanisms. Do not make every line clever; one strong opening and a clear progression are enough.
  11. Apply explicit user house-style rules as hard output constraints. They outrank generic LinkedIn punctuation or formatting conventions.
  12. For Arabic/bilingual output, use the arabic skill before finalizing rhythm, bidi, and truncation behavior.

HOLD conditions

Return a HOLD when the requested hook, result, price, metric, testimonial, product claim, or CTA premise cannot be supported from the available evidence and cannot be rewritten truthfully without changing the approved idea.

Related components

  • routing authority: helper/GUIDE.md
  • local hook gate: helper/quality-gates.json
  • design-copy reference: skills/info-stories/references/hook-driven-design-copy.md
  • detailed patterns: references/caption-patterns.md
  • technical narrative specialist: references/linkedin-caption-narrative.md
  • worker: agents/caption-writer.md
  • copy compression: agents/copy-compressor.md
  • deterministic copy-pattern checker: tools/copy_slop_check.py

Research gates

Apply prose-specificity and voice-preservation to all visible prose. Apply evidence-traceability whenever the caption contains numbers, product behavior, proof, or other checkable factual claims.

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.