agentleFS
navigotechsolutions-labsnavigotechsolutions-labs/claude-agent-skills-hub/gsap/AGENTS.md

claude-agent-skills-hub / gsap

AGENTS.md0 starsChanged 55 days agoMITView on GitHub

This repository contains GSAP (GreenSock Animation Platform) skills for AI coding agents. When editing or adding skills, follow these rules.

1 other project uses a version of this.

Adopted by

Steady: 0 new projects took it in the last 4 weeks, none the 4 weeks before.thin data

Week of Sep 13: 0 new projectsWeek of Sep 20: 0 new projectsWeek of Sep 27: 0 new projectsWeek of Oct 4: 0 new projectsWeek of Oct 11: 0 new projectsWeek of Oct 18: 0 new projectsWeek of Oct 25: 0 new projectsWeek of Nov 1: 0 new projects
Sep 2026Oct 2026Nov 2026
New projects taking a version of this file each week, over the 8 weeks our latest run read: only 0 in all, so this is a hint, not a trend.

Most recently taken up by

The file

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

3 rules. About 0 are common, 1 is distinctive, and 2 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    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:

    Skill directory name: must exactly match the name in that skill’s frontmatter (e.g.

    line 8
  2. Distinctive:

    Write descriptions in third person (e.g.

    line 20
  3. Very specific:

    When adding a new skill: create skills/<skill-name>/SKILL.md, then update README.md "Skills" table and "Structure" section.

    line 22

≈ “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

Guidance for AI Agents Working in This Repo

This repository contains GSAP (GreenSock Animation Platform) skills for AI coding agents. When editing or adding skills, follow these rules.

Repo structure

  • skills/ — Each subdirectory is one skill. The CLI and agents discover skills by scanning skills/ for directories that contain SKILL.md.
  • Skill directory name must exactly match the name in that skill’s frontmatter (e.g. skills/gsap-core/ ↔ name: gsap-core).

SKILL.md requirements

  • Frontmatter (YAML):
    • name (required): lowercase, hyphens only, max 64 chars, must match parent directory name.
    • description (required): what the skill does and when to use it; include trigger terms so agents know when to apply it. Max 1024 chars.
    • license (optional): e.g. MIT if the skill is under the repo license.
  • Body: Markdown instructions. Keep under ~500 lines; put long reference material in references/ or scripts/ and link from SKILL.md.

Conventions

  • Write descriptions in third person (e.g. "Use when…" not "You can use when…").
  • Be concise; avoid restating general GSAP docs. Focus on correct API usage, pitfalls, and cleanup.
  • When adding a new skill: create skills/<skill-name>/SKILL.md, then update README.md "Skills" table and "Structure" section.

References

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.