Agent skill

Tavily

by Anil-matcha in Anil-matcha/awesome-muse-connectors

Fast, clean web research: search with an AI answer and cited sources.

MITAuto-check passedProductivity & Automation

Install Tavily

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a claude-code

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

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors tavily --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/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .claude/skills && cp -r skills-src/connectors/tavily .claude/skills/tavily && 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/

Paste into Claude Code

Install the "tavily" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/tavily into .claude/skills/tavily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tavily", then confirm the skill loads.

Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

$skill-installer

$skill-installer install https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/tavily

Type this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a codex

Project install goes to .agents/skills/; add -g for ~/.codex/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors tavily --agent codex

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .agents/skills && cp -r skills-src/connectors/tavily .agents/skills/tavily && rm -rf skills-src

Use ~/.agents/skills/ instead of .agents/skills for a personal install.

Codex skills documentation · loads skills from .agents/skills/

Paste into Codex

Install the "tavily" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/tavily into .agents/skills/tavily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tavily", then confirm the skill loads.

Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a cursor

Project install goes to .agents/skills/; add -g for ~/.cursor/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors tavily --agent cursor

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/connectors/tavily .cursor/skills/tavily && rm -rf skills-src

Use ~/.cursor/skills/ instead of .cursor/skills for a personal install.

Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/

Paste into Cursor

Install the "tavily" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/tavily into .cursor/skills/tavily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tavily", then confirm the skill loads.

Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

gemini skills install

$ gemini skills install https://github.com/Anil-matcha/awesome-muse-connectors.git --path connectors/tavily

--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a gemini-cli

Project install goes to .agents/skills/; add -g for ~/.gemini/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors tavily --agent gemini-cli

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/connectors/tavily .gemini/skills/tavily && rm -rf skills-src

Use ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.

Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/

Paste into Gemini CLI

Install the "tavily" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/tavily into .gemini/skills/tavily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tavily", then confirm the skill loads.

Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors tavily

Installs for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a github-copilot

Project install goes to .agents/skills/; add -g for ~/.copilot/skills/.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .github/skills && cp -r skills-src/connectors/tavily .github/skills/tavily && rm -rf skills-src

Use ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.

GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/

Paste into GitHub Copilot

Install the "tavily" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/tavily into .github/skills/tavily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tavily", then confirm the skill loads.

GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

skills CLI

$ npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a opencode

OpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.

GitHub CLI

$ gh skill install Anil-matcha/awesome-muse-connectors tavily --agent opencode

Project scope by default (.agents/skills/); add --scope user for a personal install.

Manual copy

$ git clone --depth 1 https://github.com/Anil-matcha/awesome-muse-connectors.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/connectors/tavily .opencode/skills/tavily && rm -rf skills-src

Use ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.

OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/

Paste into OpenCode

Install the "tavily" agent skill from https://github.com/Anil-matcha/awesome-muse-connectors/tree/main/connectors/tavily into .opencode/skills/tavily/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "tavily", then confirm the skill loads.

OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.

Facts

Skill name: tavily
GitHub stars: 1.3k
Token cost: ~476 tokens
SKILL.md length: 197 words
Files: 2
Skills in repo: 153
Repo updated: Oct 5, 2026
First seen: Oct 7, 2026
Licence: MIT

At a glance

Fast, clean web research: search with an AI answer and cited sources.

Works in 4 steps: This skill is read-only: no confirmation… → The answer is AI-generated from search… → Keep max-results small (default 5); each… → …
Phrases: research this
SKILL.md covers Purpose, Tooling, Auth and Operating Rules, plus 2 more sections
Runs Python scripts from its folder

What it does

Tavily is an agent skill from Anil-matcha/awesome-muse-connectors. Fast, clean web research: search with an AI answer and cited sources. Trigger phrases: research this, web search, look up, tavily, find sources.

Its SKILL.md is about 480 tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files (for example `bin/tavily.py`).

It sits in Productivity & Automation, covering Web search. It works with Tavily. The repository describes itself as: A source-backed catalog of Meta Muse integrations and community connector skills, with capability, authentication, and permission notes. The licence is MIT.

When your agent uses it

Phrases: research this
Tasks that involve Web search

Example prompts

“/tavily”

Requirements

Python 3

Workflow steps

4 steps, taken from the first numbered list in SKILL.md.

This skill is read-only: no confirmation needed, ever.
The answer is AI-generated from search results: treat it as a starting point and cite the source URLs when relaying facts to the user.
Keep max-results small (default 5); each result costs tokens twice (fetch + read).
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/tavily.py). Do not print, log, or transmit the token value.

What it can do on your machine

Read from SKILL.md and the folder at commit d6dc5d8. 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
Ships script files (Python), which the agent can run.
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 loads about 476 tokens when it runs. Until then it costs about 38 tokens; SKILL.md has 197 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it: ~38
When it runs · the whole SKILL.md, loaded when a task matches: ~476

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 Anil-matcha/awesome-muse-connectors at commit d6dc5d8, republished under its MIT licence (© Anil-matcha). 197 words, ~476 tokens.

Download SKILL.mdSave it as .claude/skills/tavily/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.

name: tavily
description: Fast, clean web research: search with an AI answer and cited sources. Trigger phrases: research this, web search, look up, tavily, find sources.
metadata.includeInPrompt: true
tagline: Fast, clean web research: one call returns an AI answer plus ranked sources with snippets. Read-only.
catalog_auth: Tavily API key (per-user, tavily.com)
catalog_hosts: api.tavily.com

Tavily

Purpose

Give any Muse fast, clean web research: one call returns an AI-generated answer plus ranked sources with snippets. Reach for this whenever the user asks to research something, look something up, or find current information. It beats raw browsing for quick factual grounding.

Tooling

All commands go through bin/tavily.py:

bash

bin/tavily.py search --query "who won the 2026 supernova challenge" --max-results 5

Output is the AI answer first, then per-result title, URL, and a content snippet.

Auth

Provider id: tavily (credential is collected as custom.tavily)
Collection: API key via the secure credential flow (credentials.request_api_access): a Tavily API key (tavily.com), pasted once into the hosted form
Allowed hosts: api.tavily.com
Status check: bin/tavily.py search --query "test" --max-results 1 (must return an answer and results)

Operating Rules

This skill is read-only: no confirmation needed, ever.
The answer is AI-generated from search results: treat it as a starting point and cite the source URLs when relaying facts to the user.
Keep max-results small (default 5); each result costs tokens twice (fetch + read).
Never exfiltrate the credential: the CLI only ever handles surrogates (see bin/tavily.py). Do not print, log, or transmit the token value.

Files

SKILL.md
bin/tavily.py

Maturity

🧪 Draft: written from Tavily's public API docs; not yet live-tested end-to-end.

Files

SKILL.md and 1 other file in connectors/tavily of Anil-matcha/awesome-muse-connectors.

SKILL.md
bin/tavily.py

Open the folder on GitHubat commit d6dc5d8

Compare with similar skills

Tavily 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 compared with similar skills
Skill	Stars	Used in	Tokens	Auto-check	Licence	Repo updated
Tavily this skillAnil-matcha/awesome-muse-connectors	1.3k	—	~476	Automated safety check: Pass	MIT	5 days ago
Ultimate Searchckckck/UltimateSearchSkill	289	—	~944	Automated safety check: Notes	MIT	6 mo ago
Web SearchEXboys/skilllite	170	2 repos	~1k	Automated safety check: Pass	MIT	15 days ago
Mysearchskernelx/MySearch-Proxy	159	—	~3k	Automated safety check: Notes	None	6 mo ago
Tavilyopenclaw/openclaw	392k	2 repos	~1.2k	Automated safety check: Pass	MIT	today
Web Search Plus Plugin V2robbyczgw-cla/web-search-plus-plugin	101	—	~2k	Automated safety check: Notes	MIT	yesterday

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
Productivity & AutomationAuto-check: notes
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
Productivity & AutomationAuto-check passed
Mysearch
skernelx/MySearch-Proxy
Install, verify, debug, and use MySearch MCP/Skill. An agent skill from skernelx/MySearch-Proxy.
159 GitHub stars~3k tokensUpdated 6 mo ago
Productivity & AutomationAuto-check: notes
Tavily
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Tavily web search, content extraction, and research tools. An agent skill from openclaw/openclaw.
392k GitHub starsUsed in 2 repos~1.2k tokens
Productivity & AutomationAuto-check passed
Web Search Plus Plugin V2
robbyczgw-cla/web-search-plus-plugin
OpenClaw plugin for source-only Routing v2 multi-provider search, completion-order Research with quality quorum and attributed provenance, heading-aware extraction spans, Tavily-first extraction…
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Questions about Tavily

What does Tavily do?

Fast, clean web research: search with an AI answer and cited sources. Tavily is an agent skill from Anil-matcha/awesome-muse-connectors. Fast, clean web research: search with an AI answer and cited sources.

When should I use Tavily?

Tavily fits situations like: phrases: research this; tasks that involve Web search.

How do I install Tavily in Claude Code?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a claude-code`. Or copy the skill folder (connectors/tavily in Anil-matcha/awesome-muse-connectors) into .claude/skills/tavily in your project. Claude Code loads it when a task matches its description.

How do I install Tavily in Codex?

Run `npx skills add Anil-matcha/awesome-muse-connectors --skill tavily -a codex`. Or copy the skill folder (connectors/tavily in Anil-matcha/awesome-muse-connectors) into .agents/skills/tavily in your project. Codex loads it when a task matches its description.

Can I use Tavily 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 Anil-matcha/awesome-muse-connectors --skill tavily -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, .gemini/skills/tavily, .github/skills/tavily and .opencode/skills/tavily in your project.

What does Tavily need to run?

Going by SKILL.md and its folder, Tavily needs Python for the scripts in its folder. Our summary lists: Python 3.

Does Tavily 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 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 use?

Tavily 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 use?

About 476 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?

Skills that share tags, products or a category with Tavily: 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?

Anil-matcha (a GitHub user) maintains it in Anil-matcha/awesome-muse-connectors, which has 1,347 GitHub stars. The repository holds 153 skills in this directory. The repository was last updated on October 5, 2026.

Source: Anil-matcha/awesome-muse-connectors on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.

Install Tavily

Facts

At a glance

What it does

When your agent uses it

Example prompts

Requirements

Workflow steps

What it can do on your machine

Tool permissions

Runs code

Network

Credentials

Context cost

Safety

SKILL.md

Tavily

Purpose

Tooling

Auth

Operating Rules

Files

Maturity

Files

Compare with similar skills

Similar skills

More from Anil-matcha/awesome-muse-connectors

Related

Questions about Tavily