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.

13 stars

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

$curl -o ~/.claude/skills/skill-patterns/SKILL.md --create-dirs "https://raw.githubusercontent.com/drexed/cmdx/main/.cursor/skills/skill-patterns/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/skill-patterns/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How skill-creator Compares

Feature / Agentskill-creatorStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/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.

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