npx skills add ...
npx skills add tavily-ai/skills --skill 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 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 skills add tavily-ai/skills --skill tavily-research
AI-powered deep research that gathers sources, analyzes them, and produces a cited report. Takes 30-120 seconds.
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.
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 TAVILY_API_KEY.
Do not start a second login immediately after guided setup has completed.
| 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 | 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.
For long-running research, you can start and poll separately:
--stream to see progress in real-time.--model pro for complex comparisons or multi-faceted topics.--output-schema to get structured JSON output matching a custom schema.tvly search instead — research is for deep synthesis.echo "query" | tvly research - --json# 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