Agent Skill

Tavily skill

tavilyintellectronica/agent-skillsskills/tavily/SKILL.md

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.

296CC0-1.0

always on

50 tokname + description

once used

1,944 tokSKILL.md body

bundled files

repo stars

296GitHub

Install the Tavily skill

Skills CLI (Claude Code, Codex, Cursor and others)

npx skills add https://github.com/intellectronica/agent-skills --skill tavily

Claude Code, by hand (all projects)

git clone --depth 1 https://github.com/intellectronica/agent-skills.git /tmp/agent-skills
mkdir -p ~/.claude/skills
cp -R /tmp/agent-skills/skills/tavily ~/.claude/skills/tavily

For one project only, copy the folder into .claude/skills/ in that project instead. The agent picks it up when a task matches its description.

What it costs your context

Agent Skills load in three steps. Tokens counted with the o200k tokenizer; your model's count will differ a little.

When	What loads	Cost
Every session	Name and description	50 tok
When the agent uses it	The SKILL.md instructions	1,944 tok
Only if opened	No bundled files	—

Until it is used, tavily costs about 27× less than the median MCP server we measured (1,362 tokens on every turn). Installing all 44 skills from intellectronica/agent-skills would load 3,100 tokens of descriptions. Skills vs MCP study

Checks

Our checks found nothing to flag: it follows the Agent Skills specification's naming and size guidelines and doesn't pipe downloads into a shell.

Checked 2026-10-22 · method

What's inside

The headings of its SKILL.md. Read the full file on GitHub.

Tavily
Purpose
When to Use
Required Environment
Base URL and Auth
Tool Mapping (Tavily REST)
1) search → POST /search
2) extract → POST /extract
3) map → POST /map
4) crawl → POST /crawl
Optional Research Workflow (Deep Investigation)
create research task → POST /research
get research status → GET /research/{requestid}
streaming research (SSE)
Usage Notes
Error Handling

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