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.
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Comprehensive AI-powered research with multi-source synthesis and citations.
Produces structured reports grounded in web sources, taking 30-120 seconds depending on model selection (mini for targeted queries, pro for complex comparisons) Supports multiple output formats: markdown reports, JSON with custom schemas, and configurable citation styles (numbered, MLA, APA, Chicago) Includes async workflow for long-running research via --no-wait , status , and poll commands, plus real-time streaming with --stream Best for deep analysis, market reports, literature reviews, and multi-angle comparisons; use tavily-search instead for quick fact-finding
Stronger alternatives
Audit results are mixed — compare nearby options before installing.
The skill facilitates AI-powered research using the official Tavily CLI. While it includes a command to download and run an installation script, this resource originates from the vendor's own verified domain and is intended for setting up the necessary tools.
Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.
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Skill metadata
Parsed from SKILL.md frontmatter.
Allowed toolsBash(tvly *)
Package contents
Files included with this skill beyond the listing page.
skill mdSKILL.md4,076 B
docsSUMMARY.md512 B
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First seen on skills.sh
First recorded snapshot · 18,000 installs
SKILL.md
tavily research
AI-powered deep research that gathers sources, analyzes them, and produces a cited report. Takes 30-120 seconds.
Before running
Research requires authentication. Run the requested command directly when tvly is already authenticated; do not add a status check to every invocation.
If tvly is missing, follow the [tavily-cli setup](../tavily-cli/SKILL.md#setup). If an installed CLI reports an authentication error, use tvly login for authentication only, or tvly init --skip-skills when guided verification is also useful. Browser-based OAuth is preferred when an interactive user can complete it. --no-browser prints the sign-in link instead of opening it, but still waits for a localhost callback. In an unattended agent or CI environment, leave authentication to the user or use a securely provided TAVILYAPIKEY. Do not start a second login immediately after guided setup has completed.
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.json
# 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 the JSON response to a 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