agentleFS
AI-ModConAI-ModCon/genesis-skills/skills/basedata-skills/skill-creator/SKILL.md

skill-creator

Skill30 starsChanged 50 days agoBSD-2-ClauseView on GitHub

Author a new agent Skill (a SKILL.md directory in the open Agent Skills format) from the Anthropic template. Use when the user wants to create a skill, scaffold a SKILL.md, package a repeatable workflow as a reusable skill, turn instructions into a skill, or capture a procedure so the agent can auto-invoke it later. Produces a valid SKILL.md (name + description frontmatter, optional scripts/ and references/) and saves it into the project's skills directory.

189 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use taskflow-inbox-triage, mermaid-diagram-generator and 10 more.

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The file

We split this skill into the rules it gives an agent

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

  • 0

    Common

    Most of the 185 edited versions we read keep these.

  • 2

    Distinctive

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    Ask the user (or infer from context):

    line 31
  2. Distinctive:

    Start from references/SKILL_template.md.

    line 38
  3. Very specific:

    After the frontmatter, write the instructions the agent will follow.

    line 44

“Common” is measured: kept by at least 6 in 10 of the 185 edited versions of this file we could read. “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

Skill Creator

Scaffold a new, spec-valid agent Skill from the Anthropic template and save it so the agent can discover and auto-invoke it.

A skill is a directory <name>/SKILL.md: YAML frontmatter (name, description) plus markdown instructions the agent follows when the description matches the task. It can bundle scripts/ and references/. See references/agent_skills_spec.md for the full contract.

Workflow

Copy this checklist and check off steps as you go:

Progress:
- [ ] 1. Gather skill intent (name, purpose, triggers)
- [ ] 2. Draft from the template
- [ ] 3. Write the body (instructions/workflow)
- [ ] 4. Add scripts/ and references/ if needed
- [ ] 5. Validate the frontmatter
- [ ] 6. Save into the project (save_skill)
- [ ] 7. Confirm + note how it activates

1. Gather Intent

Ask the user (or infer from context):

  • name — short, lowercase, hyphenated (e.g. convert-vasp-outputs). This becomes the directory name and the invocable name.
  • purpose — one sentence on what the skill does.
  • triggers — the user requests / phrasing that should make the agent reach for this skill. These become keywords in the description.

2. Draft From the Template

Start from references/SKILL_template.md. Fill the frontmatter:

  • name: must equal the directory name.
  • description: pack it with what it does AND when to use it (trigger phrases) — this is the only thing the agent sees when deciding to invoke. Keep it ≤ 1536 characters.

3. Write the Body

After the frontmatter, write the instructions the agent will follow. Prefer a copyable checklist (like this one) for multi-step workflows. Reference bundled files by relative path, e.g. [template](references/SKILL_template.md).

4. Add Supporting Files (optional)

  • scripts/ — runnable helpers the body invokes.
  • references/ — long reference material loaded on demand (keep it OUT of SKILL.md so it costs no tokens until used).

5. Validate

Confirm before saving:

  • Frontmatter is valid YAML between --- fences.
  • name is present, lowercase-hyphenated, and equals the intended directory name.
  • description is present and ≤ 1536 characters.
  • Any [link](references/...) path exists.

6. Save

If the save_skill MCP tool is available (DSAgt), call it with the spec (frontmatter dict: name, description, optional tags), the body markdown, and any reference_files (a {relative_path: contents} map). It writes <project>/skills/<name>/ and mirrors it into the platform's native skill directory immediately. Without that tool, write the directory under the agent's native skills directory for the active platform.

7. Confirm

Tell the user the skill was saved and is ready to use. Future sessions auto-discover it natively; to apply it in the current session, read skills/<name>/SKILL.md and follow it — that is all native invocation does. Do not tell the user a restart or any other action is needed.

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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.