Skill-Details
skill-developer
Directly supports developers authoring Claude Code skills and MCP workflows.
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SKILL.md
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---
name: skill-developer
description: Meta-skill for creating and managing Claude Code skills
allowed-tools: [Bash, Read, Write, Edit]
---
# Skill Developer
Meta-skill for creating new Claude Code skills, including skills that wrap MCP pipelines.
## When to Use
- "Create a skill for X"
- "Help me make a new skill"
- "Turn this script into a skill"
- "How do I create a skill?"
## Skill Structure
Skills live in `.claude/skills/<skill-name>/`:
```
.claude/skills/my-skill/
├── SKILL.md # Required: Main skill definition
├── scripts/ # Optional: Supporting scripts
└── templates/ # Optional: Templates, examples
```
### SKILL.md Format
```yaml
---
name: skill-name
description: Brief description (shown in skill list)
allowed-tools: [Bash, Read, Write] # Optional: restrict tools
---
# Skill Name
## When to Use
[When Claude should discover this skill]
## Instructions
[Step-by-step instructions for Claude to follow]
## Examples
[Usage examples]
```
## Creating an MCP Pipeline Skill
To create a new MCP chain script and wrap it as a skill:
### Step 1: Use the Template
Copy the multi-tool-pipeline template:
```bash
cp $CLAUDE_PROJECT_DIR/scripts/multi_tool_pipeline.py $CLAUDE_PROJECT_DIR/scripts/my_pipeline.py
```
Reference the template pattern:
```bash
cat $CLAUDE_PROJECT_DIR/.claude/skills/multi-tool-pipeline/SKILL.md
cat $CLAUDE_PROJECT_DIR/scripts/multi_tool_pipeline.py
```
### Step 2: Customize the Script
Edit your new script to chain the MCP tools you need:
```python
async def main():
from runtime.mcp_client import call_mcp_tool
args = parse_args()
# Chain your MCP tools (serverName__toolName)
result1 = await call_mcp_tool("server1__tool1", {"param": args.arg1})
result2 = await call_mcp_tool("server2__tool2", {"input": result1})
print(result2)
```
### Step 2: Create the Skill
Create `.claude/skills/my-pipeline/SKILL.md`:
```markdown
---
name: my-pipeline
description: What the pipeline does
allowed-tools: [Bash, Read]
---
# My Pipeline Skill
## When to Use
- [Trigger conditions]
## Instructions
Run the pipeline:
\`\`\`bash
uv run python -m runtime.harness scripts/my_pipeline.py --arg1 "value"
\`\`\`
### Parameters
- `--arg1`: Description
## MCP Servers Required
- server1: For tool1
- server2: For tool2
```
### Step 3: Add Triggers (Optional)
Add to `.claude/skills/skill-rules.json`:
```json
{
"skills": {
"my-pipeline": {
"type": "domain",
"enforcement": "suggest",
"priority": "medium",
"description": "What it does",
"promptTriggers": {
"keywords": ["keyword1", "keyword2"],
"intentPatterns": ["(pattern).*?(match)"]
}
}
}
}
```
## Reference Files
For full details, read:
```bash
cat $CLAUDE_PROJECT_DIR/.claude/rules/skill-development.md
cat $CLAUDE_PROJECT_DIR/.claude/rules/mcp-scripts.md
```
## Quick Checklist
- [ ] SKILL.md has frontmatter (name, description)
- [ ] "When to Use" section is clear
- [ ] Instructions are copy-paste ready
- [ ] MCP servers documented if needed
- [ ] Triggers added to skill-rules.json (optional)
## Examples in This Repo
Look at existing skills for patterns:
```bash
ls $CLAUDE_PROJECT_DIR/.claude/skills/
cat $CLAUDE_PROJECT_DIR/.claude/skills/commit/SKILL.md
cat $CLAUDE_PROJECT_DIR/.claude/skills/firecrawl-scrape/SKILL.md
```
Vollständige Quelle auf GitHub lesen (öffnet externe Seite)