tavily 精选
个人 agent skills 合集,涵盖多种日常与工程场景。原文:Use this skill for web search, extraction, mapping, crawling, and research via Tavily’s REST API when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly format is beneficial.
仓库级简介:该 skill 尚无单独撰写的中文摘要安装方式
cp -r skills/tavily ~/.claude/skills/tavily把该 skill 目录放进客户端 skills 目录。不同客户端的目录可能不同,Claude Code 默认是 ~/.claude/skills/
/plugin marketplace add intellectronica/agent-skills⚠️ 该命令形态随客户端版本变化,仅在检测到 .claude-plugin/marketplace.json 时展示;不可用时请用「目录复制」。
https://raw.githubusercontent.com/intellectronica/agent-skills/9b0e00ad1b941165e2506545bbfddafa34cf2cb8/skills/tavily/SKILL.md下载后另存为 ~/.claude/skills/tavily/SKILL.md。链接锁定采集时的 commit,内容与本站展示一致。
整仓一次性获取:git clone --depth 1 https://github.com/intellectronica/agent-skills.git
依赖与权限
- 需要 API Key —— 使用前需配置相应的密钥环境变量
- 需要联网访问外部服务
- 依赖外部命令:
pythoncurl - 以上为按正文与 frontmatter 自动推断的信号,仅供参考;安装前建议先阅读原文。
SKILL.md 正文
Tavily
Purpose
Provide a curl-based interface to Tavily’s REST API for web search, extraction, mapping, crawling, and optional research. Return structured results suitable for LLM workflows and multi-step investigations.
When to Use
- Use when a task needs live web information, site extraction, mapping, or crawling.
- Use when web searches are needed and no built-in tool is available, or when Tavily’s LLM-friendly output (summaries, chunks, sources, citations) is beneficial.
- Use when a task requires structured search results, extraction, or site discovery from Tavily.
Required Environment
- Require
TAVILY_API_KEYin the environment. - If
TAVILY_API_KEYis missing, prompt the user to provide the API key before proceeding.
Base URL and Auth
- Base URL:
https://api.tavily.com - Authentication:
Authorization: Bearer $TAVILY_API_KEY - Content type:
Content-Type: application/json - Optional project tracking: add
X-Project-ID: <project-id>if project attribution is needed.
Tool Mapping (Tavily REST)
1) search → POST /search
Use for web search with optional answer and content extraction.
Recommended minimal request:
curl -sS -X POST "https://api.tavily.com/search" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TAVILY_API_KEY" \
-d '{
"query": "<query>",
"search_depth": "basic",
"max_results": 5,
"include_answer": true,
"include_raw_content": false,
"include_images": false
}'
Key parameters (all optional unless noted):
query(required): search textsearch_depth:basic|advanced|fast|ultra-fastchunks_per_source: 1–3 (advanced only)max_results: 0–20topic:general|news|financetime_range:day|week|month|year|d|w|m|ystart_date,end_date:YYYY-MM-DDinclude_answer:false|true|basic|advancedinclude_raw_content:false|true|markdown|textinclude_images: booleaninclude_image_descriptions: booleaninclude_favicon: booleaninclude_domains,exclude_domains: string arrayscountry: country name (general topic only)auto_parameters: booleaninclude_usage: boolean
Expected response fields:
answer(if requested),results[]withtitle,url,content,score,raw_content(optional),favicon(optional)response_time,usage,request_id
2) extract → POST /extract
Use for extracting content from specific URLs.
curl -sS -X POST "https://api.tavily.com/extract" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TAVILY_API_KEY" \
-d '{
"urls": ["https://example.com/article"],
"query": "<optional intent for reranking>",
"chunks_per_source": 3,
"extract_depth": "basic",
"format": "markdown",
"include_images": false,
"include_favicon": false
}'
Key parameters:
urls(required): array of URLsquery: rerank chunks by intentchunks_per_source: 1–5 (only whenqueryprovided)extract_depth:basic|advancedformat:markdown|texttimeout: 1–60 secondsinclude_usage: boolean
Expected response fields:
results[]withurl,raw_content,images,faviconfailed_results[],response_time,usage,request_id
3) map → POST /map
Use for generating a site map (URL discovery only).
curl -sS -X POST "https://api.tavily.com/map" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TAVILY_API_KEY" \
-d '{
"url": "https://docs.tavily.com",
"max_depth": 1,
"max_breadth": 20,
"limit": 50,
"allow_external": true
}'
Key parameters:
url(required)instructions: natural language guidance (raises cost)max_depth: 1–5max_breadth: 1+limit: 1+select_paths,select_domains,exclude_paths,exclude_domains: arrays of regex stringsallow_external: booleantimeout: 10–150 secondsinclude_usage: boolean
Expected response fields:
base_url,results[](list of URLs),response_time,usage,request_id
4) crawl → POST /crawl
Use for site traversal with built-in extraction.
curl -sS -X POST "https://api.tavily.com/crawl" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TAVILY_API_KEY" \
-d '{
"url": "https://docs.tavily.com",
"instructions": "Find all pages about the Python SDK",
"max_depth": 1,
"max_breadth": 20,
"limit": 50,
"extract_depth": "basic",
"format": "markdown",
"include_images": false
}'
Key parameters:
url(required)instructions: optional; raises cost and enableschunks_per_sourcechunks_per_source: 1–5 (only withinstructions)max_depth,max_breadth,limit: same as mapextract_depth:basic|advancedformat:markdown|textinclude_images,include_favicon,allow_externaltimeout: 10–150 secondsinclude_usage: boolean
Expected response fields:
base_url,results[]withurl,raw_content,faviconresponse_time,usage,request_id
Optional Research Workflow (Deep Investigation)
Use when a query needs multi-step analysis and citations.
create research task → POST /research
curl -sS -X POST "https://api.tavily.com/research" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TAVILY_API_KEY" \
-d '{
"input": "<research question>",
"model": "auto",
"stream": false,
"citation_format": "numbered"
}'
Expected response fields:
request_id,created_at,status(pending),input,model,response_time
get research status → GET /research/{request_id}
curl -sS -X GET "https://api.tavily.com/research/<request_id>" \
-H "Authorization: Bearer $TAVILY_API_KEY"
Expected response fields:
status:completedcontent: report text or structured objectsources[]:{ title, url, favicon }
streaming research (SSE)
Set "stream": true in the POST body and use curl with -N to stream events:
curl -N -X POST "https://api.tavily.com/research" \
-H "Content-Type: application/json" \
-H "Authorization: Bearer $TAVILY_API_KEY" \
-d '{"input":"<question>","stream":true,"model":"pro"}'
Handle SSE events (tool calls, tool responses, content chunks, sources, done).
Usage Notes
- Treat
search,extract,map, andcrawlas the primary endpoints for discovery and content retrieval. - Return structured results with URLs, titles, and summaries for easy downstream use.
- Default to conservative parameters (
search_depth: basic,max_results: 5) unless deeper recall is needed. - Reuse consistent request bodies across calls to keep results predictable.
Error Handling
- If any request returns 401/403, prompt for or re-check
TAVILY_API_KEY. - If timeouts occur, reduce
max_depth/limitor usesearch_depth: basic. - If responses are too large, lower
max_resultsorchunks_per_source.
质量与来源
- 所属仓库
- intellectronica/agent-skills
- 仓库星标
- 295
- 最近更新
- 6 个月前
- 采集时间
- 今天
- commit
- 9b0e00ad1b94
- 内容指纹
- sha256:edc06c22a61654a
- 文件路径
- skills/tavily/SKILL.md