agentleFS
inklateinklate/social-skills/AGENTS.md

social-skills

AGENTS.md8 starsChanged 4 months agoMITView on GitHub

Social media skills for AI Agents. It learn your strategy, voice and platform-native format — posts, threads, carousels, reels-ready scripts, ad copy, calendars. A general, vendor-neutral social-media content skills for any AI agent. Skills live in skills/<name>/SKILL.md (flat — no category folders; categories live in frontmatter and the README table).

The file

We split this AGENTS.md into the rules it gives an agent

2 rules. About 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 2

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Purity (the community-protection principle): no skill file — SKILL.md, references/, scripts/, or evals/ — may mention Inklate, MCP, …

    line 24
  2. Very specific:

    After editing any skill, run bun run check before committing.

    line 34

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
AGENTS.md

AGENTS.md

Task Completion Requirements

  • bun run validate and bun run check must pass before considering tasks completed.

What this is

Social media skills for AI Agents. It learn your strategy, voice and platform-native format — posts, threads, carousels, reels-ready scripts, ad copy, calendars.

A general, vendor-neutral social-media content skills for any AI agent. Skills live in skills/<name>/SKILL.md (flat — no category folders; categories live in frontmatter and the README table).

Commands

  • bun run validate — frontmatter schema + agentskills.io hard limits (name ≤ 64 chars, description ≤ 1024), description discovery rules, purity lint across every bundled file (SKILL.md + references//scripts//evals/), cross-repo name-collision check, relative-link resolution, and eval-shape lint.
  • bun run validate:spec — cross-check every skill with the canonical skills-ref validator. Runs via uvx/skills-ref when available; soft-skips (exit 0) otherwise, since it is a demonstration-grade tool, and tolerates top-level Claude Code frontmatter fields it doesn't know (e.g. disable-model-invocation; see CLAUDE_CODE_EXTRA_FIELDS in the script). validate is the production gate.
  • bun run format / bun run format:check — Prettier (write / check). Generated JSON and the README skill table are excluded so the generator stays their sole authority.
  • bun run build:index — regenerate skills-index.json, the README skill table, and the Claude Code plugin manifests (.claude-plugin/plugin.json + marketplace.json, sourced from repo.config.json + package.json). Commit all of them.
  • bun run check — validate + validate:spec + format:check + drift-check (what CI runs).
  • bun run zips — package per-skill zips into dist/zips/.

Rules that gate every change

  1. Purity (the community-protection principle): no skill file — SKILL.md, references/, scripts/, or evals/ — may mention Inklate, MCP, scheduling APIs, or any provider integration. The README is the ONLY funnel surface in this repo. CI greps every bundled file; reviewers enforce the spirit.
  2. Descriptions are discovery. 3–8 sentences, ≤ 1024 characters (spec limit), ≥ 4 literal trigger phrases in quotes, platform names spelled out, and a mention of social-context.md. The description is the only signal agents use to auto-trigger.
  3. Frontmatter contract: name (lowercase-hyphen slug ≤ 64 chars, = folder name), description (≤ 1024), optional license and compatibility (agentskills.io spec fields), and metadata.{version (semver), category (Foundation | Create | Ads | Plan | Check), topics (slug list), examplePrompt}. Write YAML in block style — no flow arrays like topics: [a, b] — so the canonical skills-ref validator accepts it.
  4. Body shape: context load → workflow → quality bar → deliverable, ending at the deliverable. A workflow step must check the output against the Quality bar before the deliverable — the bar is a gate, not a passive table. Skills that read social-context.md name the sections they read by exact ## heading (the Foundation schema: Positioning, Audience, Platforms, Pillars, Voice, Cadence, Goals, Never). A skill may bundle references/, scripts/, and evals/; name them from SKILL.md with relative paths, and load heavy reference data on demand (progressive disclosure). social-check is the worked example.
  5. Self-contained / portable. Skills install individually (via skills.sh and the per-skill zips), so a skill may reference only files inside its own directory — never another skill's files.
  6. Evals. Each skill should ship evals/evals.json (agentskills.io format: skill_name, evals[] with id / prompt / expected_output / assertions). bun run validate lints their shape.
  7. Names must not collide with inklate/skills (both repos install into one skills directory). The validator cross-checks the sibling index when reachable.
  8. Scope fence: social only (organic + paid). No SEO/email/CRO skills.
  9. Naming & shared language. Skill names use a domain-first social-* family, with platform a constraint in references/, not a name (idk, the user-invoked router, is a deliberate exception). Shared domain terms live in CONTEXT.md; use them. The idk router maps the family — whenever you add, rename, or remove a skill, update idk's Skill map so it never routes to a skill that moved or omits one that exists.

After editing any skill, run bun run check before committing; skills-index.json, the README table, and the .claude-plugin/ manifests are build artifacts that must stay in sync (CI fails on drift).

Download now (ZIP)

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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.