Bulk extract content from entire websites or site sections with depth and path filtering.
Works with
Crawls pages following links up to configurable depth limits and page counts, with path inclusion/exclusion filters to scope extraction
Supports async job polling or synchronous waiting with progress display via --wait and --progress flags
Offers concurrency control, request delays, and JSON output formatting for integration into agent workflows
Part of a four-step escalation pattern: search
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfirecrawl-crawlExecute the skills CLI command in your project's root directory to begin installation:
Fetches firecrawl-crawl 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-crawl. Access via /firecrawl-crawl 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.
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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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Bulk extract content from a website. Crawls pages following links up to a depth/limit.
/docs/)# Crawl a docs section
firecrawl crawl "<url>" --include-paths /docs --limit 50 --wait -o .firecrawl/crawl.json
# Full crawl with depth limit
firecrawl crawl "<url>" --max-depth 3 --wait --progress -o .firecrawl/crawl.json
# Check status of a running crawl
firecrawl crawl <job-id>
| Option | Description |
|---|---|
--wait |
Wait for crawl to complete before returning |
--progress |
Show progress while waiting |
--limit <n> |
Max pages to crawl |
--max-depth <n> |
Max link depth to follow |
--include-paths <paths> |
Only crawl URLs matching these paths |
--exclude-paths <paths> |
Skip URLs matching these paths |
--delay <ms> |
Delay between requests |
--max-concurrency <n> |
Max parallel crawl workers |
--pretty |
Pretty print JSON output |
-o, --output <path> |
Output file path |
--wait when you need the results immediately. Without it, crawl returns a job ID for async polling.--include-paths to scope the crawl — don't crawl an entire site when you only need one section.firecrawl credit-usage before large crawls.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
firecrawl-crawl has been reliable in day-to-day use. Documentation quality is above average for community skills.
firecrawl-crawl reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: firecrawl-crawl is the kind of skill you can hand to a new teammate without a long onboarding doc.
firecrawl-crawl has been reliable in day-to-day use. Documentation quality is above average for community skills.
Useful defaults in firecrawl-crawl — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Registry listing for firecrawl-crawl matched our evaluation — installs cleanly and behaves as described in the markdown.
firecrawl-crawl reduced setup friction for our internal harness; good balance of opinion and flexibility.
Registry listing for firecrawl-crawl matched our evaluation — installs cleanly and behaves as described in the markdown.
Useful defaults in firecrawl-crawl — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
firecrawl-crawl fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
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