Skill Developer
SkillAI & modelsLets your agent create and manage new skills for Claude Code.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Skill Developer skill
About this capability
Meta-skill for creating and managing Claude Code skills
What this skill tells your AI
The instructions your AI receives, as published by parcadei/continuous-claude-v3 in .claude/skills/skill-developer/SKILL.md and read by ahel’s review.
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
---
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:
cp $CLAUDE_PROJECT_DIR/scripts/multi_tool_pipeline.py $CLAUDE_PROJECT_DIR/scripts/my_pipeline.py
Reference the template pattern:
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:
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:
---
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:
{
"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:
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:
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
Signals
- GitHub stars
- 4k
- Forks
- 300
- Last commit
- Jan 2026
Advanced
- Catalog kind
- skill
- Gateway key
skill-developer-parcadei- Source
- github.com/parcadei/continuous-claude-v3