skill-creator
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
Best use case
skill-creator is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
Teams using skill-creator should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/skill-patterns/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How skill-creator Compares
| Feature / Agent | skill-creator | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Authors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Skill Authoring Procedure Follow these steps to generate a skill that adheres to the agentskills.io specification and progressive disclosure principles. ## Step 1: Initialize and Validate Metadata 1. Define a unique `name`: 1-64 characters, lowercase, numbers, and single hyphens only. 2. Draft a `description`: Max 1,024 characters, written in the third person, including negative triggers. 3. **Execute Validation Script:** Run the validation script to ensure compliance before proceeding: `python3 scripts/validate-metadata.py --name "[name]" --description "[description]"` 4. If the script returns an error, self-correct the metadata based on the `stderr` output and re-run until successful. ## Step 2: Structure the Directory 1. Create the root directory using the validated `name`. 2. Initialize the following subdirectories: - `scripts/`: For tiny CLI tools and deterministic logic. - `references/`: For flat (one-level deep) context like schemas or API docs. - `assets/`: For output templates, JSON schemas, or static files. 3. Ensure no human-centric files (README.md, INSTALLATION.md) are created. ## Step 3: Draft Core Logic (SKILL.md) 1. Use the template in `assets/skill-template.md` as the starting point. 2. Write all instructions in the **third-person imperative** (e.g., "Extract the text," "Run the build"). 3. **Enforce Progressive Disclosure:** - Keep the main logic under 500 lines. - If a procedure requires a large schema or complex rule set, move it to `references/`. - Command the agent to read the specific file only when needed: *"Read references/api-spec.md to identify the correct endpoint."* ## Step 4: Identify and Bundle Scripts 1. Identify "fragile" tasks (regex, complex parsing, or repetitive boilerplate). 2. Outline a single-purpose script for the `scripts/` directory. 3. Ensure the script uses standard output (stdout/stderr) to communicate success or failure to the agent. ## Step 5: Final Logic Validation 1. Review the `SKILL.md` for "hallucination gaps" (points where the agent is forced to guess). 2. Verify all file paths are **relative** and use forward slashes (`/`). 3. Cross-reference the final output against `references/checklist.md`. ## Error Handling - **Metadata Failure:** If `scripts/validate-metadata.py` fails, identify the specific error (e.g., "STYLE ERROR") and rewrite the field to remove first/second person pronouns. - **Context Bloat:** If the draft exceeds 500 lines, extract the largest procedural block and move it to a file in `references/`. - **Overlapping commands:** Before creating a new command, check existing commands that already cover the workflow. Extend an existing command rather than creating a duplicate.