Use the Firecrawl API via direct curl calls to scrape websites and extract data for AI.
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AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionfirecrawlExecute the skills CLI command in your project's root directory to begin installation:
Fetches firecrawl from vm0-ai/vm0-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 firecrawl. Access via /firecrawl 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.
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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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Use the Firecrawl API via direct curl calls to scrape websites and extract data for AI.
Official docs:
https://docs.firecrawl.dev/
Use this skill when you need to:
export FIRECRAWL_TOKEN="fc-your-api-key"
All examples below assume you have FIRECRAWL_TOKEN set.
Base URL: https://api.firecrawl.dev/v1
Extract content from a single webpage.
Write to /tmp/firecrawl_request.json:
{
"url": "https://example.com",
"formats": ["markdown"]
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json
Write to /tmp/firecrawl_request.json:
{
"url": "https://docs.example.com/api",
"formats": ["markdown"],
"onlyMainContent": true,
"timeout": 30000
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data.markdown'
Write to /tmp/firecrawl_request.json:
{
"url": "https://example.com",
"formats": ["html"]
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data.html'
Write to /tmp/firecrawl_request.json:
{
"url": "https://example.com",
"formats": ["screenshot"]
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/scrape" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data.screenshot'
Scrape Parameters:
| Parameter | Type | Description |
|---|---|---|
url |
string | URL to scrape (required) |
formats |
array | markdown, html, rawHtml, screenshot, links |
onlyMainContent |
boolean | Skip headers/footers |
timeout |
number | Timeout in milliseconds |
Crawl all pages of a website (async operation).
Write to /tmp/firecrawl_request.json:
{
"url": "https://example.com",
"limit": 50,
"maxDepth": 2
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/crawl" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json
Response:
{
"success": true,
"id": "crawl-job-id-here"
}
Replace <job-id> with the actual job ID returned from the crawl request:
curl -s "https://api.firecrawl.dev/v1/crawl/<job-id>" -H "Authorization: Bearer $FIRECRAWL_TOKEN" | jq '{status, completed, total}'
Replace <job-id> with the actual job ID:
curl -s "https://api.firecrawl.dev/v1/crawl/<job-id>" -H "Authorization: Bearer $FIRECRAWL_TOKEN" | jq '.data[] | {url: .metadata.url, title: .metadata.title}'
Write to /tmp/firecrawl_request.json:
{
"url": "https://blog.example.com",
"limit": 20,
"maxDepth": 3,
"includePaths": ["/posts/*"],
"excludePaths": ["/admin/*", "/login"]
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/crawl" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json
Crawl Parameters:
| Parameter | Type | Description |
|---|---|---|
url |
string | Starting URL (required) |
limit |
number | Max pages to crawl (default: 100) |
maxDepth |
number | Max crawl depth (default: 3) |
includePaths |
array | Paths to include (e.g., /blog/*) |
excludePaths |
array | Paths to exclude |
Get all URLs from a website quickly.
Write to /tmp/firecrawl_request.json:
{
"url": "https://example.com"
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/map" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.links[:10]'
Write to /tmp/firecrawl_request.json:
{
"url": "https://shop.example.com",
"search": "product",
"limit": 500
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/map" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.links'
Map Parameters:
| Parameter | Type | Description |
|---|---|---|
url |
string | Website URL (required) |
search |
string | Filter URLs containing keyword |
limit |
number | Max URLs to return (default: 1000) |
Search the web and get full page content.
Write to /tmp/firecrawl_request.json:
{
"query": "AI news 2024",
"limit": 5
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/search" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data[] | {title: .metadata.title, url: .url}'
Write to /tmp/firecrawl_request.json:
{
"query": "machine learning tutorials",
"limit": 3,
"scrapeOptions": {
"formats": ["markdown"]
}
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/search" -H "Authorization: Bearer $FIRECRAWL_TOKEN" -H "Content-Type: application/json" -d @/tmp/firecrawl_request.json | jq '.data[] | {title: .metadata.title, content: .markdown[:500]}'
Search Parameters:
| Parameter | Type | Description |
|---|---|---|
query |
string | Search query (required) |
limit |
number | Number of results (default: 10) |
scrapeOptions |
object | Options for scraping results |
Extract structured data from pages using AI.
Write to /tmp/firecrawl_request.json:
{
"urls": ["https://example.com/product/123"],
"prompt": "Extract the product name, price, and description"
}
Then run:
curl -s -X POST "https://api.firecrawl.dev/v1/extract" -H "Authorization: Bearer $FIRECRAWL_TOKEN" ✓Make data-driven prioritization decisions faster
Stakeholder Communication
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
Implementation Guide
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Steps
- 1Install product management skill
- 2Start with user story generation for known feature
- 3Progress to competitive analysis: research 2-3 competitors
- 4Use for roadmap prioritization: apply RICE/ICE scoring
- 5Draft stakeholder communications and refine based on feedback
- 6Build template library for recurring PM tasks
- 7Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This
✓ 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.
Learning Path
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
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4.6★★★★★71 reviews- AAva Diallo★★★★★Dec 28, 2024
I recommend firecrawl for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- DDhruvi Jain★★★★★Dec 24, 2024
We added firecrawl from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- PPratham Ware★★★★★Dec 20, 2024
Registry listing for firecrawl matched our evaluation — installs cleanly and behaves as described in the markdown.
- AAisha Agarwal★★★★★Dec 16, 2024
firecrawl has been reliable in day-to-day use. Documentation quality is above average for community skills.
- AAva Li★★★★★Dec 4, 2024
firecrawl fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- YYusuf Agarwal★★★★★Dec 4, 2024
firecrawl reduced setup friction for our internal harness; good balance of opinion and flexibility.
- AArya Jackson★★★★★Nov 27, 2024
Keeps context tight: firecrawl is the kind of skill you can hand to a new teammate without a long onboarding doc.
- WWilliam Robinson★★★★★Nov 23, 2024
We added firecrawl from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- AArjun Jackson★★★★★Nov 23, 2024
firecrawl has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ZZaid Perez★★★★★Nov 19, 2024
Useful defaults in firecrawl — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
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