Web search with AI-optimized results, relevance scoring, and advanced filtering via Tavily API.
Create detailed user stories, acceptance criteria, and feature specs
Example: Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example: Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example: Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example: Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Submit your Claude Code skill and start earning
epx add jwynia/agent-skills --skill web-search-tavilyCompatible with
Supported agents
Supports three topic types (general, news, finance) and two search depths (basic, advanced) with optional AI-generated answer summaries
Includes domain filtering to include or exclude specific sites, time-range filtering (day, week, month, year), and configurable result counts
Returns structured results with relevance scores, publication dates, and optional raw page content; supports both
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionweb-search-tavilyExecute the skills CLI command in your project's root directory to begin installation:
epx add jwynia/agent-skills --skill web-search-tavilyFetches web-search-tavily from jwynia/agent-skills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/web-search-tavily
Restart Cursor to activate web-search-tavily. Access via /web-search-tavilyin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Time estimate: 30-60 minutes to see productivity improvements
Prerequisites
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
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Solid pick for teams standardizing on skills: web-search-tavily is focused, and the summary matches what you get after install.
web-search-tavily has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: web-search-tavily is focused, and the summary matches what you get after install.
We added web-search-tavily from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
web-search-tavily fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
web-search-tavily reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added web-search-tavily from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Registry listing for web-search-tavily matched our evaluation — installs cleanly and behaves as described in the markdown.
web-search-tavily fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
web-search-tavily fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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