How do I install the Tavily Search skill?

Run npx skillmds@latest add neetx/tavily-search in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Tavily Search safe to use?

This skill has not completed SkillMD's automated safety review yet. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Tavily Search?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Tavily Search free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Tavily Search?

Neetx (@neetx) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Tavily Search by neetx — Agent Skill

Name: Tavily Search
Author: Neetx

Tavily Search

Search the web with LLM-optimized results via the Tavily CLI. Use this skill whenever a scan needs to find papers, releases, announcements or articles, discover sources on a topic, or check what is new — i.e. whenever there is no specific URL yet. Returns relevant results with content snippets, relevance scores and metadata. Supports domain filtering, time ranges and multiple search depths.

Neetx Updated Sep 17, 2026

File contents

tavily search

Web search returning LLM-optimized results with content snippets and relevance scores.

Before running any command

Check tvly --status. If tvly is not on PATH:

pip install -q tavily-cli || uv tool install tavily-cli

Auth comes from the TAVILY_API_KEY environment variable (already set in this environment). Never print it. If it is unset, report that and fall back to the built-in web tools.

Quick start

# Basic search
tvly search "your query" --json

# Precision search with more results
tvly search "trellis coded quantization LLM" --depth advanced --max-results 10 --json

# Recent items only
tvly search "open-weight model release" --time-range week --topic news --json

# Primary sources only
tvly search "KV cache quantization" --include-domains arxiv.org,github.com --json

# Full page content inline (saves a separate extract call)
tvly search "vLLM disaggregated serving" --include-raw-content --max-results 3 --json

Key options

Option	Description
`--depth`	`ultra-fast`, `fast`, `basic` (default), `advanced` (highest relevance)
`--max-results`	0–20 (default 5)
`--topic`	`general` (default), `news`, `finance`
`--time-range`	`day`, `week`, `month`, `year`
`--start-date` / `--end-date`	Bound results by date (YYYY-MM-DD)
`--include-domains` / `--exclude-domains`	Comma-separated domain filters
`--include-raw-content`	Full page content (`markdown` or `text`)
`--chunks-per-source`	Chunks per source (advanced/fast depth)
`--json` / `-o FILE`	Structured output / save to file

Tips

Keep queries under 400 characters; break complex questions into sub-queries.
--include-domains arxiv.org,github.com,huggingface.co biases toward primary sources.
Search snippets are NEVER citable evidence on their own — open the URL with the tavily-extract skill first (see radar-source-verify).

---name: tavily-searchdescription: Search the web with LLM-optimized results via the Tavily CLI. Use this skill whenever a scan needs to find papers, releases, announcements or articles, discover sources on a topic, or check what is new — i.e. whenever there is no specific URL yet. Returns relevant results with content snippets, relevance scores and metadata. Supports domain filtering, time ranges and multiple search depths.---# tavily searchWeb search returning LLM-optimized results with content snippets and relevance scores.## Before running any commandCheck `tvly --status`. If `tvly` is not on PATH:```bashpip install -q tavily-cli || uv tool install tavily-cli```Auth comes from the `TAVILY_API_KEY` environment variable (already set in thisenvironment). Never print it. If it is unset, report that and fall back to thebuilt-in web tools.## Quick start```bash# Basic searchtvly search "your query" --json# Precision search with more resultstvly search "trellis coded quantization LLM" --depth advanced --max-results 10 --json# Recent items onlytvly search "open-weight model release" --time-range week --topic news --json# Primary sources onlytvly search "KV cache quantization" --include-domains arxiv.org,github.com --json# Full page content inline (saves a separate extract call)tvly search "vLLM disaggregated serving" --include-raw-content --max-results 3 --json```## Key options| Option | Description ||--------|-------------|| `--depth` | `ultra-fast`, `fast`, `basic` (default), `advanced` (highest relevance) || `--max-results` | 0–20 (default 5) || `--topic` | `general` (default), `news`, `finance` || `--time-range` | `day`, `week`, `month`, `year` || `--start-date` / `--end-date` | Bound results by date (YYYY-MM-DD) || `--include-domains` / `--exclude-domains` | Comma-separated domain filters || `--include-raw-content` | Full page content (`markdown` or `text`) || `--chunks-per-source` | Chunks per source (advanced/fast depth) || `--json` / `-o FILE` | Structured output / save to file |## Tips- Keep queries under 400 characters; break complex questions into sub-queries.- `--include-domains arxiv.org,github.com,huggingface.co` biases toward primary sources.- Search snippets are NEVER citable evidence on their own — open the URL with the `tavily-extract` skill first (see `radar-source-verify`).

Frequently asked questions