tavily-research
The tavily-research skill provides AI-powered deep research capabilities using the Tavily CLI. It gathers web sources, synthesizes information, and generates cited reports in text or JSON formats.
Is tavily-research safe to install?
Review the source first: our audit of tavily-research's source files found 10 shell commands, 1 external URL, file reads and writes (high risk). Every command and URL listed appears verbatim in the skill's source. The skill executes shell commands and makes network requests to the Tavily API. It supports writing research reports to local files via the -o or --output flags.
How we audit skills: our security review methodology.
Who is this skill for?
Users requiring comprehensive multi-source analysis, market reports, literature reviews, or detailed comparisons.
What can you do with it?
- Conducting market analysis
- Performing literature reviews
- Comparing multiple products or technologies
- Generating structured research reports with citations
- Extracting research data into JSON format for agent workflows
How good is this skill?
Quality score: 5/10. The skill documentation is clear, provides specific command examples, and defines clear use cases for different models.
What does the skill file contain?
# 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: ```bash 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 ...
Frequently asked questions
How long does a research task take?
Research tasks typically take between 30 and 120 seconds depending on the model and complexity.
Which model should I choose for my research?
Use the mini model for single-topic research and the pro model for complex comparisons or multi-faceted topics.
Can I save the research output to a file?
Yes, use the -o or --output flag followed by the filename to save the report.
How do I handle long-running research tasks?
Use the --no-wait flag to receive a request_id, then use the status and poll commands to check progress and retrieve results.
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