소스 정보
- 저장소
- parcadei/Continuous-Claude-v3
- 최근 소스 활동
- 2026년 1월 10일 01:54
- 감지된 SKILL.md 언어
- 영어
- 스타
- 3,947
- 포크
- 303
설치 방법
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
소스 파일 검토
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
SKILL.md 표시 중
SKILL.md
소스 지침 · 읽기 전용 미리보기- 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
```
GitHub에서 보기