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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.
npx skill4agent add tavily-ai/skills tavily-researchcurl -fsSL https://cli.tavily.com/install.sh | bash && tvly login# 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| Option | Description |
|---|---|
| |
| Stream results in real-time |
| Return request_id immediately (async) |
| Path to JSON schema for structured output |
| |
| Seconds between checks (default: 10) |
| Max wait seconds (default: 600) |
| Save output to file |
| Structured JSON output |
| Model | Use for | Speed |
|---|---|---|
| Single-topic, targeted research | ~30s |
| Comprehensive multi-angle analysis | ~60-120s |
| API chooses based on complexity | Varies |
# 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--stream--model pro--output-schematvly searchecho "query" | tvly research - --json