tavily-search
Web search via Tavily API (alternative to Brave). Use when the user asks to search the web / look up sources / find links and Brave web_search is unavailable or undesired. Returns a small set of relevant results (title, url, snippet) and can optionally include short answer summaries.
Best use case
tavily-search is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Web search via Tavily API (alternative to Brave). Use when the user asks to search the web / look up sources / find links and Brave web_search is unavailable or undesired. Returns a small set of relevant results (title, url, snippet) and can optionally include short answer summaries.
Teams using tavily-search should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/openclaw-tavily-search/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How tavily-search Compares
| Feature / Agent | tavily-search | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Web search via Tavily API (alternative to Brave). Use when the user asks to search the web / look up sources / find links and Brave web_search is unavailable or undesired. Returns a small set of relevant results (title, url, snippet) and can optionally include short answer summaries.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Tavily Search
Use the bundled script to search the web with Tavily.
## Requirements
- Provide API key via either:
- environment variable: `TAVILY_API_KEY`, or
- `~/.openclaw/.env` line: `TAVILY_API_KEY=...`
## Commands
Run from the OpenClaw workspace:
```bash
# raw JSON (default)
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5
# include short answer (if available)
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --include-answer
# stable schema (closer to web_search): {query, results:[{title,url,snippet}], answer?}
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format brave
# human-readable Markdown list
python3 {baseDir}/scripts/tavily_search.py --query "..." --max-results 5 --format md
```
## Output
### raw (default)
- JSON: `query`, optional `answer`, `results: [{title,url,content}]`
### brave
- JSON: `query`, optional `answer`, `results: [{title,url,snippet}]`
### md
- A compact Markdown list with title/url/snippet.
## Notes
- Keep `max-results` small by default (3–5) to reduce token/reading load.
- Prefer returning URLs + snippets; fetch full pages only when needed.Related Skills
web-search-plus
Unified search skill with Intelligent Auto-Routing. Uses multi-signal analysis to automatically select between Serper (Google), Tavily (Research), Exa (Neural), Perplexity (AI Answers), You.com (RAG/Real-time), and SearXNG (Privacy/Self-hosted) with confidence scoring.
ux-researcher-designer
UX research and design toolkit for Senior UX Designer/Researcher including data-driven persona generation, journey mapping, usability testing frameworks, and research synthesis. Use for user research, persona creation, journey mapping, and design validation.
tavily
AI-optimized web search using Tavily Search API. Use when you need comprehensive web research, current events lookup, domain-specific search, or AI-generated answer summaries. Tavily is optimized for LLM consumption with clean structured results, answer generation, and raw content extraction. Best for research tasks, news queries, fact-checking, and gathering authoritative sources.
research-summarizer
Structured research summarization agent skill for non-dev users. Handles academic papers, web articles, reports, and documentation. Extracts key findings, generates comparative analyses, and produces properly formatted citations. Use when: user wants to summarize a research paper, compare multiple sources, extract citations from documents, or create structured research briefs. Plugin for Claude Code, Codex, Gemini CLI, and OpenClaw.
multi-search-engine
Multi search engine integration with 17 engines (8 CN + 9 Global). Supports advanced search operators, time filters, site search, privacy engines, and WolframAlpha knowledge queries. No API keys required.
google-search
Search the web using Google Custom Search Engine (PSE). Use this when you need live information, documentation, or to research topics and the built-in web_search is unavailable.
file-search
Fast file-name and content search using `fd` and `rg` (ripgrep).
exa-web-search-free
Free AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
eBay Product Research - eBay 选品工具
## Description
eastmoney_financial_search
本skill基于东方财富妙想搜索能力,基于金融场景进行信源智能筛选,用于获取涉及时效性信息或特定事件信息的任务,包括新闻、公告、研报、政策、交易规则、具体事件、各种影响分析、以及需要检索外部数据的非常识信息等。避免AI在搜索金融场景信息时,参考到非权威、及过时的信息。
duckduckgo-search
Performs web searches using DuckDuckGo to retrieve real-time information from the internet. Use when the user needs to search for current events, documentation, tutorials, or any information that requires web search capabilities.
desearch-web-search
Search the web and get real-time SERP-style results with titles, URLs, and snippets. Use this for general web queries when you need current links and information from across the internet.