<!--
Adapted from skill-creator implementations by Anthropic and OpenAI:
https://github.com/anthropics/claude-plugins-official
https://github.com/openai/codex-plugins-official
-->
Create a New Skill
Guide the user through creating a new agent skill following the
Agent Skills specification. Follow each step in order.
Step 1: Understand the Skill
Gather requirements before writing anything.
Ask the user:
- What should this skill do? (one sentence)
- When should an agent use it? (trigger phrases)
- What tools does the skill need? (Read, Grep, Glob, Bash, Task, WebFetch, etc.)
- Where should the skill live? (which plugin or directory)
Determine the skill name:
- Lowercase alphanumeric with hyphens, 1-64 characters
- Descriptive and unique among existing skills
- Check the target skills directory to avoid name collisions
Choose a complexity tier:
| Tier | Structure | Use When |
|---|
| Simple | only | Self-contained instructions under ~200 lines |
| With references | + | Domain knowledge that agents load conditionally |
| With scripts | + | Workflow automation needing Python scripts |
| Full | All of the above | Complex skills with automation and domain knowledge |
Read
${CLAUDE_SKILL_ROOT}/references/design-principles.md
for guidance on keeping skills focused and concise.
Step 2: Study Existing Skills
Before writing, study 1-2 existing skills that match the chosen tier. Look for skills in the target repository or plugin to understand local conventions.
Read
${CLAUDE_SKILL_ROOT}/references/skill-patterns.md
for concrete examples of each tier.
Also read
(or
) at the repository root for repo-specific conventions that the skill should follow.
Step 3: Write the SKILL.md
Create
<skill-directory>/<name>/SKILL.md
.
Frontmatter
The YAML frontmatter
must be the first thing in the file. No comments or blank lines before
.
yaml
---
name: <skill-name>
description: <what it does>. Use when <trigger phrases>. <key capabilities>.
---
Required fields:
- — must match the directory name exactly
- — up to 1024 chars; include trigger keywords that help agents match user intent
Optional fields:
- — override model (, , ); omit to use the user's default
- — space-delimited list (e.g., ); omit to allow all tools
- — license name or path (add when vendoring external content)
Body Guidelines
Write the body in imperative voice — these are instructions, not documentation.
| Do | Don't |
|---|
| "Read the file and extract..." | "This skill reads the file and extracts..." |
| "Report only HIGH confidence findings" | "The agent should report only HIGH confidence findings" |
| "Ask the user which option to use" | "You may want to ask the user..." |
Structure:
- Start with a one-line summary of what the skill does
- Organize steps with headings
- Use tables for decision logic and mappings
- Include concrete examples of expected output
- End with validation criteria or exit conditions
Size limits:
- Keep SKILL.md under 500 lines
- If approaching the limit, move reference material to files
- Load reference files conditionally based on context (not all at once)
Attribution
If the skill is based on or adapted from external sources, add an HTML comment
after the frontmatter closing
:
markdown
---
name: example
description: ...
---
<!--
Based on [Original Name] by [Author/Org]:
https://github.com/example/original-source
-->
Step 4: Create Supporting Files
References ()
Use for domain knowledge the agent loads conditionally.
<name>/
├── SKILL.md
└── references/
├── topic-a.md
└── topic-b.md
Reference from SKILL.md with:
markdown
Read `${CLAUDE_SKILL_ROOT}/references/topic-a.md` for details on [topic].
Keep each reference file focused on one topic. Use markdown with tables and code blocks.
Scripts ()
Use for workflow automation that benefits from structured Python.
<name>/
├── SKILL.md
└── scripts/
└── do_thing.py
Script requirements:
- Always use to execute:
uv run ${CLAUDE_SKILL_ROOT}/scripts/do_thing.py
- Add PEP 723 inline metadata for dependencies:
python
# /// script
# requires-python = ">=3.12"
# dependencies = ["requests"]
# ///
- Output structured JSON for agent consumption
- Run from the repository root, not the skill directory
- Document the script's interface in SKILL.md (arguments, output format)
Assets ()
Use for static files the skill references (templates, configs, etc.).
LICENSE
Include a LICENSE file in the skill directory when vendoring content with specific licensing requirements.
Step 5: Register the Skill
Registration steps vary by repository. Check the repository's
or
for specific instructions.
- Verify directory-name match — confirm the directory name matches the field in SKILL.md frontmatter exactly
- Update documentation — add the skill to any skills index or table in README.md
- Update permissions — if the repo has , add to the array
- Check CLAUDE.md — read the repository's for any additional registration steps specific to that project
Step 6: Verify
Run through this checklist before finishing:
Frontmatter
Content
Registration
Scripts (if applicable)
Report any issues found and fix them before completing.