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skill-creator

Create or revise agent skills by defining when they run, what they produce, and how their files are organized. Validate SKILL.md settings, resource links, and changed helper scripts before completing the work.

OriginalShow the original description

Author or review AgentSkills: create, repair, validate, or restructure SKILL.md files and bundled resources.

openclaw/openclaw
AI rating90/ 100See how to install

Good for

  • Creating a skill for a recurring workflow
  • Repairing an existing SKILL.md
  • Organizing bundled references and scripts
  • Checking invocation settings and resource links

Overview

What it does

skill-creator helps create agent skills and revise or reorganize existing SKILL.md files and their supporting files. It defines when work should begin, the expected result, and where that result should be saved. It also sets whether a skill can be invoked automatically or only manually. Each step receives a checkable completion condition, followed by final validation.

When it helps

Use it to turn repeated work into a skill or review the structure of an existing one. Shared procedures go in SKILL.md, conditional details in references/, helper operations in scripts/, and output materials in assets/. These resources are linked from the main instructions.

Example requests

  • “Turn this task into a skill with clear starting and completion conditions.”
  • “Organize this existing SKILL.md and its supporting materials, then validate the references.”
  • “Review the settings so this skill can only be invoked manually.”

Notes

Validation uses Python and the bundled quick_validate.py. Changed helpers receive focused tests. For skills in a live workspace, proposed changes are prepared through skill_workshop; live files remain unchanged until application. Repository-managed source follows that repository’s editing and review workflow.

This overview was written by AI (OpenAI Codex) from the public SKILL.md. Check the original below for the exact behavior.

Objective evaluation

AI rated this skill on four points using only the contents of its SKILL.md. Stars and popularity are not taken into account.

Clear instructionsIs it clear when to use it and what it does?
AGoodIt explicitly covers creating, repairing, validating, and restructuring SKILL.md files and bundled resources.
Concrete stepsAre steps, inputs, outputs, and examples spelled out?
AGoodIts five workflow steps have completion criteria, with explicit resource locations and a quick_validate.py command.
SafetyAre sending data, deleting files, and running commands disclosed?
AGoodLive skill changes must be proposed through skill_workshop, with live files unchanged until application.
Easy setupDoes it need few tools or API keys, and are they documented?
BPartly lackingIt supplies a Python validation command but does not explain how to make skill_workshop available.

The total counts each point as A = 25, B = 15, C = 5. Rated by AI (OpenAI Codex) as of Oct 19, 2026. Treat it as a guide and read the original before installing.

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Tell us which point is wrong and why. No login needed. We will check it against the SKILL.md, redo the evaluation, and show the result here.

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Files included (6)

  • SKILL.md2.2 KB
  • license.txt11.1 KB
  • scripts/package_skill.py4.6 KB
  • scripts/quick_validate.py5.3 KB
  • scripts/test_package_skill.py7.6 KB
  • scripts/test_quick_validate.py4.4 KB

SKILL.md (original)

Review the instructions the agent will receive before you install.

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.

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