Official agent skill

Tavily Search

by aws-samples in aws-samples/sample-strands-agent-with-agentcore

AI-powered web search and content extraction. An agent skill from aws-samples/sample-strands-agent-with-agentcore.

OfficialMITAuto-check passedProductivity & Automation

Install Tavily Search

skills CLI
$ npx skills add aws-samples/sample-strands-agent-with-agentcore --skill tavily-search -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install aws-samples/sample-strands-agent-with-agentcore tavily-search --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/aws-samples/sample-strands-agent-with-agentcore.git skills-src && mkdir -p .claude/skills && cp -r skills-src/chatbot-app/agentcore/skills/tavily-search .claude/skills/tavily-search && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
tavily-search
GitHub stars
195
Token cost
~463 tokens
SKILL.md length
213 words
Files
1
Skills in repo
24
Repo updated
First seen
Licence
MIT

At a glance

AI-powered web search and content extraction. An agent skill from aws-samples/sample-strands-agent-with-agentcore.

  • Tasks that involve Web search
  • SKILL.md covers Available Tools, Usage Guidelines and Citation Format
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Tavily Search is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization. AI-powered web search and content extraction

Its SKILL.md is about 460 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Productivity & Automation, covering Web search. It works with Tavily. The repository describes itself as: Reference architecture for agentic AI chatbots with Strands Agents and Amazon Bedrock AgentCore. The licence is MIT.

When your agent uses it

  • Tasks that involve Web search

Example prompts

  • “/tavily-search”

What it can do on your machine

Read from SKILL.md and the folder at commit cd66e48. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Tavily Search loads about 463 tokens when it runs. Until then it costs about 15 tokens; SKILL.md has 213 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~15
When it runs · the whole SKILL.md, loaded when a task matches
~463

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from aws-samples/sample-strands-agent-with-agentcore at commit cd66e48, republished under its MIT licence (© aws-samples). 213 words, ~463 tokens.

Download SKILL.mdSave it as .claude/skills/tavily-search/SKILL.md (or your agent's skills folder).
name
tavily-search
description
AI-powered web search and content extraction

Available Tools

  • tavily_search(query, search_depth?, topic?): AI-powered web search that returns relevant, summarized results.

    • query (string, required): Search query
    • search_depth (string, optional, default: "basic"): "basic" for quick lookups, "advanced" for comprehensive research
    • topic (string, optional, default: "general"): "general", "news", or "research"
  • tavily_extract(urls, extract_depth?): Extract clean, readable content from one or more web URLs.

    • urls (string, required): Comma-separated URLs to extract content from
    • extract_depth (string, optional, default: "basic"): "basic" or "advanced"

Usage Guidelines

  • Use tavily_search for research queries that benefit from AI-curated results.
  • Set search_depth to "advanced" for comprehensive research, "basic" for quick lookups.
  • Set topic to "news" for recent events, "research" for academic/technical topics.
  • Use tavily_extract to get full page content from specific URLs found in search results.
  • Tavily excels at recent information and news — prefer it for time-sensitive queries.

Citation Format

When presenting information from search results, wrap every specific claim in <cite> tags:

<cite source="SOURCE_TITLE" url="URL">claim text</cite>

Rules:

  • Cite factual claims, statistics, quotes, and specific information from search results.
  • The source attribute should contain the title or name of the source.
  • The url attribute should contain the source URL when available.
  • Do NOT cite your own reasoning or general knowledge.
  • If search results don't contain relevant information, inform the user rather than guessing.
  • Use the minimum number of citations necessary to support claims.

© aws-samples, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in chatbot-app/agentcore/skills/tavily-search of aws-samples/sample-strands-agent-with-agentcore.

Open the folder on GitHubat commit cd66e48

Compare with similar skills

Tavily Search next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Tavily Search compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tavily Search this skillaws-samples/sample-strands-agent-with-agentcore195—~463Automated safety check: PassMIT
Ultimate Searchckckck/UltimateSearchSkill289—~944Automated safety check: NotesMIT
Web SearchEXboys/skilllite1702 repos~1kAutomated safety check: PassMIT
Mysearchskernelx/MySearch-Proxy159—~3kAutomated safety check: NotesNone
Tavilyopenclaw/openclaw392k2 repos~1.2kAutomated safety check: PassMIT
Web Search Plus Plugin V2robbyczgw-cla/web-search-plus-plugin101—~1.9kAutomated safety check: NotesMIT

Similar skills

  • Ultimate Search

    ckckck/UltimateSearchSkill

    双引擎网络搜索:Grok AI 搜索(实时联网+AI分析)+ Tavily 搜索(结构化结果+网页抓取). An agent skill from ckckck/UltimateSearchSkill.

    289 GitHub stars~944 tokensUpdated 6 mo ago
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  • Web Search

    EXboys/skilllite

    Web search and content extraction with Tavily and Exa via inference.sh CLI.

    170 GitHub starsUsed in 2 repos~1k tokens
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    392k GitHub starsUsed in 2 repos~1.2k tokens
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Works with

Questions about Tavily Search

What does Tavily Search do?

AI-powered web search and content extraction. An agent skill from aws-samples/sample-strands-agent-with-agentcore. Tavily Search is an agent skill from aws-samples/sample-strands-agent-with-agentcore, published by the product's own GitHub organization.

When should I use Tavily Search?

Tavily Search fits situations like: tasks that involve Web search.

How do I install Tavily Search in Claude Code?

Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill tavily-search -a claude-code`. Or copy the skill folder (chatbot-app/agentcore/skills/tavily-search in aws-samples/sample-strands-agent-with-agentcore) into .claude/skills/tavily-search in your project. Claude Code loads it when a task matches its description.

How do I install Tavily Search in Codex?

Run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill tavily-search -a codex`. Or copy the skill folder (chatbot-app/agentcore/skills/tavily-search in aws-samples/sample-strands-agent-with-agentcore) into .agents/skills/tavily-search in your project. Codex loads it when a task matches its description.

Can I use Tavily Search in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add aws-samples/sample-strands-agent-with-agentcore --skill tavily-search -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/tavily-search, .gemini/skills/tavily-search, .github/skills/tavily-search and .opencode/skills/tavily-search in your project.

What does Tavily Search need to run?

SKILL.md names no scripts, command-line tools or credentials: Tavily Search is instructions for the agent only.

Does Tavily Search access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Tavily Search safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Tavily Search use?

Tavily Search is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tavily Search use?

About 463 tokens (SKILL.md is roughly 1.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Tavily Search?

Skills that share tags, products or a category with Tavily Search: Ultimate Search (ckckck/UltimateSearchSkill, 289 stars), Web Search (EXboys/skilllite, 170 stars), Mysearch (skernelx/MySearch-Proxy, 159 stars) and Tavily (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tavily Search?

aws-samples (a GitHub organization, an official publisher) maintains it in aws-samples/sample-strands-agent-with-agentcore, which has 195 GitHub stars. The repository holds 24 skills in this directory. The repository was last updated on October 9, 2026.

Source: aws-samples/sample-strands-agent-with-agentcore on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.