소스 정보
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- danstrem2/clawdbot-skill-master-pack
- 최근 소스 활동
- 2026년 1월 31일 15:22
- 감지된 SKILL.md 언어
- 영어
- 스타
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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.
메뉴
기본적으로 소스를 먼저 확인하는 Prompt가 선택됩니다. 직접 명령으로 전환하거나 로컬 사본을 다운로드할 수도 있습니다.
설치 여부를 결정하기 전에 SKILL.md와 SkillsMP에 표시된 보조 파일을 읽어 보세요.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
직접 명령은 검토 Prompt를 거치지 않습니다. 실행하기 전에 소스를 확인하세요.
npx skills add https://github.com/danstrem2/clawdbot-skill-master-pack --skill context7명령은 한 줄로 유지됩니다. 복사하기 전에 가로로 스크롤해 전체 내용을 확인하세요.
로컬 사본을 원하시나요? SkillsMP에서 현재 제공할 수 있는 파일을 다운로드하세요.
SKILL.md 표시 중
SOC 직업 분류 기준
| name | context7 |
| description | Context7 MCP - Intelligent documentation search and context for any library |
| metadata | {"version":"1.0.3","tags":["documentation","search","context","mcp","llm"],"clawdbot":{"requires":{"bins":"[Truncated]","npm":true},"install":["[Truncated]"]}} |
Context7 provides intelligent documentation search and context for any library, powered by LLMs.
Copy .env.example to .env and add your Context7 API key:
cp .env.example .env
Add your API key to .env:
CONTEXT7_API_KEY=your-api-key-here
Get your key from context7.com/dashboard
Install dependencies:
npm install
Context7 provides two main commands:
Search for libraries by name with intelligent LLM-powered ranking:
npx tsx query.ts search <library_name> <query>
# Examples:
npx tsx query.ts search "nextjs" "setup ssr"
npx tsx query.ts search "react" "useEffect cleanup"
npx tsx query.ts search "better-auth" "authentication flow"
This calls the Context7 Search API:
GET https://context7.com/api/v2/libs/search?libraryName=<name>&query=<query>
Response includes:
/vercel/next.js)Retrieve intelligent, LLM-reranked documentation context:
npx tsx query.ts context <owner/repo> <query>
# Examples:
npx tsx query.ts context "vercel/next.js" "setup ssr"
npx tsx query.ts context "facebook/react" "useState hook"
This calls the Context7 Context API:
GET https://context7.com/api/v2/context?libraryId=<repo>&query=<query>&type=txt
Response includes:
# Search for documentation
npx tsx query.ts search "library-name" "your search query"
# Get context from a specific repo
npx tsx query.ts context "owner/repo" "your question"
Get the most out of the Context7 API with these best practices:
When using the /libs/search endpoint, always include the user's original question in the query parameter. This allows the API to use LLM-powered ranking to find the most relevant library for the specific task, rather than relying on a simple name match.
Example: If a user asks about SSR in Next.js, search with:
libraryName=nextjsquery=setup+ssrThis ensures the best ranking for the specific task.
For the fastest and most accurate results with the /context endpoint, provide the full libraryId (e.g., /vercel/next.js). If you already know the library the user is asking about, skipping the search step and calling the context endpoint directly reduces latency.
To ensure documentation accuracy for older or specific project requirements, include the version in the libraryId using the /owner/repo/version format. You can find available version tags in the response from the search endpoint.
Tailor the /context response to your needs using the type parameter:
type=json when you need to programmatically handle titles, content snippets, and source URLs (ideal for UI display).type=txt when you want to pipe the documentation directly into an LLM prompt as plain text.When programmatically selecting a library from search results, use the trustScore and benchmarkScore to prioritize high-quality, reputable documentation sources for your users.
Find navigation and other pages in this documentation by fetching the llms.txt file at:
https://context7.com/docs/llms.txt
Search Endpoint:
GET https://context7.com/api/v2/libs/search
?libraryName=<library_name>
&query=<user_query>
Context Endpoint:
GET https://context7.com/api/v2/context
?libraryId=<owner/repo>
&query=<user_query>
&type=txt|json
No results found?
Authentication errors?
.envMIT