Agent skill

Tavily Research

by initializ in initializ/forge

Deep multi-source research using Tavily Research API. An agent skill from initializ/forge.

Apache-2.0Auto-check passedProductivity & Automation

Install Tavily Research

skills CLI
$ npx skills add initializ/forge --skill tavily-research -a claude-code

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

GitHub CLI
$ gh skill install initializ/forge tavily-research --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/initializ/forge.git skills-src && mkdir -p .claude/skills && cp -r skills-src/forge-skills/local/embedded/tavily-research .claude/skills/tavily-research && 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-research
GitHub stars
222
Token cost
~1.1k tokens
SKILL.md length
440 words
Files
3 (incl. scripts)
Skills in repo
15
Repo updated
First seen
Licence
Apache-2.0

At a glance

Deep multi-source research using Tavily Research API. An agent skill from initializ/forge.

  • Works in 4 steps: Call tavily_research with your query —… → Inform the user that research is in… → Call tavily_research_poll with the… → …
  • Tasks that involve Web search
  • SKILL.md covers Authentication, Quick Start, Workflow and Tool: tavily_research, plus 1 more section
  • Runs Shell scripts from its folder; needs TAVILY_API_KEY

What it does

Tavily Research is an agent skill from initializ/forge. Deep multi-source research using Tavily Research API

Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including scripts (for example `scripts/tavily-research-poll.sh` and `scripts/tavily-research.sh`).

It sits in Productivity & Automation, covering Web search and Deep research. It works with Tavily and Model Context Protocol. The repository describes itself as: Forge is the open-source runtime for Anthropic's Agent Skills standard — built for the agent that runs next to a service, in your environment, on infrastructure you already… The licence is Apache-2.0.

When your agent uses it

  • Tasks that involve Web search
  • Tasks that involve Deep research

Example prompts

  • “/tavily-research”

Requirements

  • A Bash shell
  • A credential in TAVILY_API_KEY

Workflow steps

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

  1. Call tavily_research with your query — returns immediately with a request_id
  2. Inform the user that research is in progress and may take 30-300 seconds
  3. Call tavily_research_poll with the request_id — this tool waits internally until the research completes (up to ~5 minutes), so you only…
  4. When the poll returns, include the full report text in your response — do not summarize or truncate it. Responses over 8000 characters are…

What it can do on your machine

Read from SKILL.md and the folder at commit 3c608d8. 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 2 files in scripts/ (Shell), which the agent can run.

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

  • Network

    Links to these hosts (documentation or services it may open):

    • tavily.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • TAVILY_API_KEY

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

Context cost

Tavily Research loads about 1.1k tokens when it runs. Until then it costs about 17 tokens; SKILL.md has 440 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~17
When it runs · the whole SKILL.md, loaded when a task matches
~1.1k

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); the scripts in this folder are not scanned.

SKILL.md

The full file from initializ/forge at commit 3c608d8, republished under its Apache-2.0 licence (© initializ). 440 words, ~1,099 tokens.

Download SKILL.mdSave it as .claude/skills/tavily-research/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.
name
tavily-research
description
Deep multi-source research using Tavily Research API
icon
🔬
category
research
tags
research, web-search, tavily, analysis

Tavily Research Skill

Perform deep, multi-source research using the Tavily Research API. Unlike basic search, research produces comprehensive reports (1000-3000 words) synthesizing information from multiple sources. Research tasks typically take 30-300 seconds depending on complexity and model.

Authentication

Set the TAVILY_API_KEY environment variable with your Tavily API key. Get your key at https://tavily.com

No OAuth or MCP configuration required.

Quick Start

bash
# Submit research request
./scripts/tavily-research.sh '{"input": "impact of quantum computing on cryptography"}'
# Returns: {"status": "pending", "request_id": "..."}

# Poll for results
./scripts/tavily-research-poll.sh '{"request_id": "72d4a81c-..."}'
# Returns: {"status": "completed", "summary": "...", "report": "...", ...}

Workflow

The research API is asynchronous. Use the two tools in sequence:

  1. Call tavily_research with your query — returns immediately with a request_id
  2. Inform the user that research is in progress and may take 30-300 seconds
  3. Call tavily_research_poll with the request_id — this tool waits internally until the research completes (up to ~5 minutes), so you only need to call it once
  4. When the poll returns, include the full report text in your response — do not summarize or truncate it. Responses over 8000 characters are automatically delivered as a downloadable document by channel adapters (Telegram, Slack), giving the user the complete report as a file

Tool: tavily_research

Submit a deep research request to Tavily AI. Returns immediately with a request_id for polling.

Input:

ParameterTypeRequiredDescription
inputstringyesThe research query or topic
modelstringnoResearch model: mini (faster, ~30s), pro (thorough, ~300s), or auto (default). Default: auto

Output: JSON object with status ("pending"), request_id, input, model, and created_at.

Tool: tavily_research_poll

Wait for a previously submitted research request to complete and return the results. This tool handles polling internally — it waits up to ~5 minutes, retrying every 10 seconds until the research is done. You only need to call it once.

Input:

ParameterTypeRequiredDescription
request_idstringyesThe request_id returned by tavily_research

Output: JSON object with status ("completed"), summary, topic, report, sources, and research_time. Returns an error if the research fails or times out.

Show full SKILL.md (138 more words)Show less
Research Models
ModelSpeedDepthUse Case
mini~30sStandard synthesisQuick overviews, simple topics
pro~300sDeep multi-sourceComprehensive analysis, complex topics
autoVariesAdaptiveLet the API choose based on query complexity
Response Format (completed)
json
{
  "status": "completed",
  "summary": "Brief summary of key findings",
  "topic": "your research topic",
  "report": "Full multi-source research report (1000-3000 words)...",
  "sources": [
    {
      "title": "Source Title",
      "url": "https://example.com",
      "content": "Relevant excerpt..."
    }
  ],
  "research_time": 45.2
}
Tips
  • Use model: pro for topics requiring deep analysis across many sources
  • Use model: mini for quick overviews where speed matters more than depth
  • Research queries work best as descriptive topics rather than simple questions
  • Always tell the user research is in progress before polling — it can take minutes
  • Include the full report field verbatim in your response — do not summarize it. The channel adapter will send a brief summary as a message and attach the full report as a downloadable markdown file
  • Prefix the report with a 1-2 sentence summary so the user gets immediate context before opening the file

© initializ, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 2 other files (scripts) in forge-skills/local/embedded/tavily-research of initializ/forge.

  • SKILL.md
  • scripts/tavily-research-poll.sh
  • scripts/tavily-research.sh

Open the folder on GitHubat commit 3c608d8

Compare with similar skills

Tavily Research 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 Research compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Tavily Research this skillinitializ/forge222—~1.1kAutomated safety check: PassApache-2.0
Mysearchskernelx/MySearch-Proxy159—~3kAutomated safety check: NotesNone
Tavily Usagefcakyon/claude-codex-settings1.2k—~404Automated safety check: PassApache-2.0
Setupfcakyon/claude-codex-settings1.2k—~145Automated safety check: PassApache-2.0
Browser SearchJohell1NS/browser-search529—~2.5kAutomated safety check: PassMIT
Mysearchskernelx/MySearch-Proxy159—~1.4kAutomated safety check: NotesMIT

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Questions about Tavily Research

What does Tavily Research do?

Deep multi-source research using Tavily Research API. An agent skill from initializ/forge. Tavily Research is an agent skill from initializ/forge.

When should I use Tavily Research?

Tavily Research fits situations like: tasks that involve Web search; tasks that involve Deep research.

How do I install Tavily Research in Claude Code?

Run `npx skills add initializ/forge --skill tavily-research -a claude-code`. Or copy the skill folder (forge-skills/local/embedded/tavily-research in initializ/forge) into .claude/skills/tavily-research in your project. Claude Code loads it when a task matches its description.

How do I install Tavily Research in Codex?

Run `npx skills add initializ/forge --skill tavily-research -a codex`. Or copy the skill folder (forge-skills/local/embedded/tavily-research in initializ/forge) into .agents/skills/tavily-research in your project. Codex loads it when a task matches its description.

Can I use Tavily Research 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 initializ/forge --skill tavily-research -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-research, .gemini/skills/tavily-research, .github/skills/tavily-research and .opencode/skills/tavily-research in your project.

What does Tavily Research need to run?

Going by SKILL.md and its folder, Tavily Research needs a shell for the scripts in its folder and credentials named TAVILY_API_KEY. Our summary lists: A Bash shell; A credential in TAVILY_API_KEY.

Does Tavily Research access the network?

SKILL.md names 1 domain. As links in the text: tavily.com. This is read from the text; nothing was executed.

Is Tavily Research 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. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Tavily Research use?

Tavily Research is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Tavily Research use?

About 1.1k tokens (SKILL.md is roughly 4.4k 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 Research?

Skills that share tags, products or a category with Tavily Research: Mysearch (skernelx/MySearch-Proxy, 159 stars), Tavily Usage (fcakyon/claude-codex-settings, 1.2k stars), Setup (fcakyon/claude-codex-settings, 1.2k stars) and Browser Search (Johell1NS/browser-search, 529 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Tavily Research?

initializ (a GitHub organization) maintains it in initializ/forge, which has 222 GitHub stars. The repository holds 15 skills in this directory. The repository was last updated on October 8, 2026.

Source: initializ/forge on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.