/tavily-research
Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does
$ npx -y skills add tavily-ai/skills --skill tavily-research --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/tavily-research
Context preview
The summary Claude sees to decide when to auto-load this skill.
Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does
SKILL.md
tavily-research.SKILL.mdname: tavily-research
description: |
Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead.
allowed-tools: Bash(tvly *)
tavily research
AI-powered deep research that gathers sources, analyzes them, and produces a cited report. Takes 30-120 seconds.
Before running any command
If `tvly` is not found on PATH, install it first:
curl -fsSL https://cli.tavily.com/install.sh | bash && tvly login
Do not skip this step or fall back to other tools.
See [tavily-cli](../tavily-cli/SKILL.md) for alternative install methods and auth options.
When to use
- You need comprehensive, multi-source analysis
- The user wants a comparison, market report, or literature review
- Quick searches aren't enough — you need synthesis with citations
- Step 5 in the [workflow](../tavily-cli/SKILL.md): search → extract → map → crawl → **research**
Quick start
# Basic research (waits for completion)
tvly research "competitive landscape of AI code assistants"
# Pro model for comprehensive analysis
tvly research "electric vehicle market analysis" --model pro
# Stream results in real-time
tvly research "AI agent frameworks comparison" --stream
# Save report to file
tvly research "fintech trends 2025" --model pro -o fintech-report.md
# JSON output for agents
tvly research "quantum computing breakthroughs" --json
Options
| Option | Description | |--------|-------------| | `--model` | `mini`, `pro`, or `auto` (default) | | `--stream` | Stream results in real-time | | `--no-wait` | Return request_id immediately (async) | | `--output-schema` | Path to JSON schema for structured output | | `--citation-format` | `numbered`, `mla`, `apa`, `chicago` | | `--poll-interval` | Seconds between checks (default: 10) | | `--timeout` | Max wait seconds (default: 600) | | `-o, --output` | Save output to file | | `--json` | Structured JSON output |
Model selection
| Model | Use for | Speed | |-------|---------|-------| | `mini` | Single-topic, targeted research | ~30s | | `pro` | Comprehensive multi-angle analysis | ~60-120s | | `auto` | API chooses based on complexity | Varies |
**Rule of thumb:** "What does X do?" → mini. "X vs Y vs Z" or "best way to..." → pro.
Async workflow
For long-running research, you can start and poll separately:
# Start without waiting
tvly research "topic" --no-wait --json # returns request_id
# Check status
tvly research status <request_id> --json
# Wait for completion
tvly research poll <request_id> --json -o result.json
Tips
- **Research takes 30-120 seconds** — use `--stream` to see progress in real-time.
- **Use `--model pro`** for complex comparisons or multi-faceted topics.
- **Use `--output-schema`** to get structured JSON output matching a custom schema.
- **For quick facts**, use `tvly search` instead — research is for deep synthesis.
- Read from stdin: `echo "query" | tvly research - --json`
See also
- [tavily-search](../tavily-search/SKILL.md) — quick web search for simple lookups
- [tavily-crawl](../tavily-crawl/SKILL.md) — bulk extract from a site for your own analysis
Read more
name: tavily-research description: | Conduct comprehensive AI-powered research with citations via the Tavily CLI. Use this skill when the user wants deep research, a detailed report, a comparison, market analysis, literature review, or says "research", "investigate", "analyze in depth", "compare X vs Y", "what does the market look like for", or needs multi-source synthesis with explicit citations. Returns a structured report grounded in web sources. Takes 30-120 seconds. For quick fact-finding, use tavily-search instead. allowed-tools: Bash(tvly *)
tavily research
AI-powered deep research that gathers sources, analyzes them, and produces a cited report. Takes 30-120 seconds.
Before running any command
If `tvly` is not found on PATH, install it first:
curl -fsSL https://cli.tavily.com/install.sh | bash && tvly login
Do not skip this step or fall back to other tools.
See [tavily-cli](../tavily-cli/SKILL.md) for alternative install methods and auth options.
When to use
- You need comprehensive, multi-source analysis
- The user wants a comparison, market report, or literature review
- Quick searches aren't enough — you need synthesis with citations
- Step 5 in the [workflow](../tavily-cli/SKILL.md): search → extract → map → crawl → **research**
Quick start
# Basic research (waits for completion) tvly research "competitive landscape of AI code assistants" # Pro model for comprehensive analysis tvly research "electric vehicle market analysis" --model pro # Stream results in real-time tvly research "AI agent frameworks comparison" --stream # Save report to file tvly research "fintech trends 2025" --model pro -o fintech-report.md # JSON output for agents tvly research "quantum computing breakthroughs" --json
Options
| Option | Description | |--------|-------------| | `--model` | `mini`, `pro`, or `auto` (default) | | `--stream` | Stream results in real-time | | `--no-wait` | Return request_id immediately (async) | | `--output-schema` | Path to JSON schema for structured output | | `--citation-format` | `numbered`, `mla`, `apa`, `chicago` | | `--poll-interval` | Seconds between checks (default: 10) | | `--timeout` | Max wait seconds (default: 600) | | `-o, --output` | Save output to file | | `--json` | Structured JSON output |
Model selection
| Model | Use for | Speed | |-------|---------|-------| | `mini` | Single-topic, targeted research | ~30s | | `pro` | Comprehensive multi-angle analysis | ~60-120s | | `auto` | API chooses based on complexity | Varies |
**Rule of thumb:** "What does X do?" → mini. "X vs Y vs Z" or "best way to..." → pro.
Async workflow
For long-running research, you can start and poll separately:
# Start without waiting tvly research "topic" --no-wait --json # returns request_id # Check status tvly research status <request_id> --json # Wait for completion tvly research poll <request_id> --json -o result.json
Tips
- **Research takes 30-120 seconds** — use `--stream` to see progress in real-time.
- **Use `--model pro`** for complex comparisons or multi-faceted topics.
- **Use `--output-schema`** to get structured JSON output matching a custom schema.
- **For quick facts**, use `tvly search` instead — research is for deep synthesis.
- Read from stdin: `echo "query" | tvly research - --json`
See also
- [tavily-search](../tavily-search/SKILL.md) — quick web search for simple lookups
- [tavily-crawl](../tavily-crawl/SKILL.md) — bulk extract from a site for your own analysis
Web search, content extraction, site crawling, URL discovery, and deep research — powered by the Tavily CLI.
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