Discover and filter URLs on a website, with optional search to locate specific pages.
Works with
Supports filtering by search query to find pages matching keywords within large sites
Includes sitemap handling strategies (include, skip, or use only) and optional subdomain inclusion
Outputs results as plain text or JSON with configurable URL limits
Commonly paired with firecrawl-scrape: use map with search to find the target URL, then scrape it
Discover URLs on a site. Use --search to find a specific page within a large site.
# Find a specific page on a large site
firecrawl map "<url>" --search "authentication" -o .firecrawl/filtered.txt
# Get all URLs
firecrawl map "<url>" --limit 500 --json -o .firecrawl/urls.json
| Option | Description |
|---|---|
--limit <n> |
Max number of URLs to return |
--search <query> |
Filter URLs by search query |
--sitemap <include|skip|only> |
Sitemap handling strategy |
--include-subdomains |
Include subdomain URLs |
--json |
Output as JSON |
-o, --output <path> |
Output file path |
map --search to find the right URL, then scrape it.map https://docs.example.com --search "auth" → found /docs/api/authentication → scrape that URL.AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfirecrawl-mapExecute the skills CLI command in your project's root directory to begin installation:
Fetches firecrawl-map from firecrawl/cli 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 firecrawl-map. Access via /firecrawl-map 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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Run in your terminal
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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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
mattpocock/skills
Registry listing for firecrawl-map matched our evaluation — installs cleanly and behaves as described in the markdown.
We added firecrawl-map from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: firecrawl-map is focused, and the summary matches what you get after install.
firecrawl-map reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for firecrawl-map matched our evaluation — installs cleanly and behaves as described in the markdown.
firecrawl-map reduced setup friction for our internal harness; good balance of opinion and flexibility.
Useful defaults in firecrawl-map — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend firecrawl-map for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: firecrawl-map is focused, and the summary matches what you get after install.
Keeps context tight: firecrawl-map is the kind of skill you can hand to a new teammate without a long onboarding doc.
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