Neural search across web, code, and company research without API keys.
Works with
Three core tools: web search for news and facts, code search for GitHub and Stack Overflow examples, and company research for business intelligence
Configurable search depth with type parameter (\"fast\" or \"deep\") for web queries and adjustable token ranges (1000–50000) for code context
Optional advanced tools available via config update, including domain/date filtering, query expansion, full page crawling, peo
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionexa-web-search-freeExecute the skills CLI command in your project's root directory to begin installation:
Fetches exa-web-search-free from sundial-org/awesome-openclaw-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 exa-web-search-free. Access via /exa-web-search-free 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
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Neural search for web, code, and company research. No API key required.
Verify mcporter is configured:
mcporter list exa
If not listed:
mcporter config add exa https://mcp.exa.ai/mcp
Search web for current info, news, or facts.
mcporter call 'exa.web_search_exa(query: "latest AI news 2026", numResults: 5)'
Parameters:
query - Search querynumResults (optional, default: 8)type (optional) - "auto", "fast", or "deep"Find code examples and docs from GitHub, Stack Overflow.
mcporter call 'exa.get_code_context_exa(query: "React hooks examples", tokensNum: 3000)'
Parameters:
query - Code/API search querytokensNum (optional, default: 5000) - Range: 1000-50000Research companies for business info and news.
mcporter call 'exa.company_research_exa(companyName: "Anthropic", numResults: 3)'
Parameters:
companyName - Company namenumResults (optional, default: 5)Six additional tools available by updating config URL:
web_search_advanced_exa - Domain/date filtersdeep_search_exa - Query expansioncrawling_exa - Full page extractionpeople_search_exa - Professional profilesdeep_researcher_start/check - AI research agentEnable all tools:
mcporter config add exa-full "https://mcp.exa.ai/mcp?tools=web_search_exa,web_search_advanced_exa,get_code_context_exa,deep_search_exa,crawling_exa,company_research_exa,people_search_exa,deep_researcher_start,deep_researcher_check"
# Then use:
mcporter call 'exa-full.deep_search_exa(query: "AI safety research")'
type: "fast" for quick lookup, "deep" for thorough researchtokensNum (1000-2000) for focused, higher (5000+) for comprehensiveMake 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.
supercent-io/skills-template
kostja94/marketing-skills
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
We added exa-web-search-free from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
We added exa-web-search-free from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
exa-web-search-free has been reliable in day-to-day use. Documentation quality is above average for community skills.
exa-web-search-free reduced setup friction for our internal harness; good balance of opinion and flexibility.
exa-web-search-free fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
exa-web-search-free fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
exa-web-search-free reduced setup friction for our internal harness; good balance of opinion and flexibility.
We added exa-web-search-free from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
exa-web-search-free reduced setup friction for our internal harness; good balance of opinion and flexibility.
exa-web-search-free reduced setup friction for our internal harness; good balance of opinion and flexibility.
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