/skill-creator
Author or review AgentSkills: create, repair, validate, or restructure SKILL.md files and bundled resources.
Claude Code
$ npx -y skills add openclaw/openclaw --skill skill-creator --agent claude-code
Codex
$ npx skills add openclaw/openclaw --skill skill-creator -a codex -y
Cursor
$ npx skills add openclaw/openclaw --skill skill-creator -a cursor -y
Gemini CLI
$ npx skills add openclaw/openclaw --skill skill-creator -a gemini-cli -y
GitHub Copilot
$ npx skills add openclaw/openclaw --skill skill-creator -a github-copilot -y
OpenCode
$ npx skills add openclaw/openclaw --skill skill-creator -a opencode -y
Windsurf
$ npx skills add openclaw/openclaw --skill skill-creator -a windsurf -y
SKILL.md
skill-creator.SKILL.mdname: skill-creator
description: "Author or review AgentSkills: create, repair, validate, or restructure SKILL.md files and bundled resources."
Skill Creator
Workflow
1. Establish the contract.
- Read the existing skill and its resources, or collect concrete requests for a new skill.
- Separate actual workflow branches from synonyms for the same branch.
- **Done when:** every branch has a concrete trigger, expected outcome, and persistence target.
2. Choose invocation.
- Model-discoverable: write a model-facing `description`; omit `disable-model-invocation`.
- Manual-only: set `disable-model-invocation: true`; write a human-facing summary.
- Direct tool command: add `command-dispatch: tool`, `command-tool`, and `command-arg-mode` only when the command bypasses the model.
- **Done when:** frontmatter matches how the skill will actually be reached.
3. Structure the skill.
- Map shared ordered procedure to `SKILL.md`; end every step with a checkable completion criterion and finish with verification.
- Keep routing conditions in `description`; start the body with execution.
- Map branch-only detail to `references/`, repeatable helpers to `scripts/`, output resources to `assets/`, and optional UI metadata to `agents/`.
- **Done when:** every planned resource has one purpose and a direct pointer from `SKILL.md`.
4. Draft and persist.
- Live workspace skill: use `skill_workshop` to create or revise a pending proposal; keep live files unchanged until apply.
- Repository-owned skill source: use the repository's normal edit and review workflow.
- **Done when:** the proposal or source diff implements every branch from step 1 and contains every resource from step 3.
5. Validate.
- Run `python {baseDir}/scripts/quick_validate.py <skill-directory>` and execute every touched helper's focused test.
- **Done when:** frontmatter passes, resource pointers resolve, and every touched helper passes its focused test.
Frontmatter
Required: `name`, `description`.
OpenClaw also supports `metadata`, `homepage`, `license`, `allowed-tools`, `user-invocable`, `disable-model-invocation`, `command-dispatch`, `command-tool`, and `command-arg-mode`. Add optional fields only when they change runtime behavior or discovery.
Read more
name: skill-creator description: "Author or review AgentSkills: create, repair, validate, or restructure SKILL.md files and bundled resources."
Skill Creator
Workflow
1. Establish the contract.
- Read the existing skill and its resources, or collect concrete requests for a new skill.
- Separate actual workflow branches from synonyms for the same branch.
- **Done when:** every branch has a concrete trigger, expected outcome, and persistence target.
2. Choose invocation.
- Model-discoverable: write a model-facing `description`; omit `disable-model-invocation`.
- Manual-only: set `disable-model-invocation: true`; write a human-facing summary.
- Direct tool command: add `command-dispatch: tool`, `command-tool`, and `command-arg-mode` only when the command bypasses the model.
- **Done when:** frontmatter matches how the skill will actually be reached.
3. Structure the skill.
- Map shared ordered procedure to `SKILL.md`; end every step with a checkable completion criterion and finish with verification.
- Keep routing conditions in `description`; start the body with execution.
- Map branch-only detail to `references/`, repeatable helpers to `scripts/`, output resources to `assets/`, and optional UI metadata to `agents/`.
- **Done when:** every planned resource has one purpose and a direct pointer from `SKILL.md`.
4. Draft and persist.
- Live workspace skill: use `skill_workshop` to create or revise a pending proposal; keep live files unchanged until apply.
- Repository-owned skill source: use the repository's normal edit and review workflow.
- **Done when:** the proposal or source diff implements every branch from step 1 and contains every resource from step 3.
5. Validate.
- Run `python {baseDir}/scripts/quick_validate.py <skill-directory>` and execute every touched helper's focused test.
- **Done when:** frontmatter passes, resource pointers resolve, and every touched helper passes its focused test.
Frontmatter
Required: `name`, `description`.
OpenClaw also supports `metadata`, `homepage`, `license`, `allowed-tools`, `user-invocable`, `disable-model-invocation`, `command-dispatch`, `command-tool`, and `command-arg-mode`. Add optional fields only when they change runtime behavior or discovery.
OpenClaw is an open-source AI assistant that runs on your own computer and meets you in the channels you already use: Discord, iMessage, Slack, Teams, Telegram, WhatsApp, and 20+ more, plus native apps for macOS, iOS, Android, Windows, and Linux.
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Questions about skill-creator.
- Which coding agents can use skill-creator?
- skill-creator installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.

