Web search using the agent's built-in WebSearch tool, no API key required.
Works with
Accepts simple query strings and returns relevant web results; best for current information, recent events, fact verification, and real-time research
Effective queries benefit from specificity, year inclusion for recency, and domain-specific terminology; iterative refinement recommended for broad or multi-perspective searches
Results cannot access paywalled content and depend on the agent's WebSearch implement
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionweb-searchExecute the skills CLI command in your project's root directory to begin installation:
Fetches web-search 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:
Restart Cursor to activate web-search. Access via /web-search in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
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
7
total installs
7
this week
46
GitHub stars
0
upvotes
Run in your terminal
7
installs
7
this week
46
stars
Search the web using the agent's built-in WebSearch capability. No external API keys required.
Use this skill when:
Do NOT use this skill when:
web-search-tavily instead)Use the agent's built-in WebSearch tool directly. The tool accepts a query string and returns relevant web results.
Simply invoke WebSearch with your query:
Query: "React 19 new features"
Be specific and include context:
Include the year for current information:
Use domain-specific terms:
Search iteratively when:
After receiving search results:
When sharing information from search results:
According to [Source Name](URL), ...
Sources:
- [Title 1](url1)
- [Title 2](url2)
web-search-tavily for these features)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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
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.
jwynia/agent-skills
supercent-io/skills-template
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
I recommend web-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in web-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Useful defaults in web-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
web-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
web-search has been reliable in day-to-day use. Documentation quality is above average for community skills.
web-search is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
web-search reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in web-search — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend web-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
I recommend web-search for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
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