Agent skill · Backend & API

firecrawl

Scrape web pages to clean markdown using Firecrawl v2 — handles JS-heavy pages, site crawls, URL mapping, document parsing (PDF/DOCX/XLSX), LLM-powered extraction, autonomous agent scraping, and post-scrape browser interaction (Interact API). Prefer over WebFetch for quality and completeness. Triggers on scrape URL, fetch page, crawl site, extract content, parse document, web to markdown, DeepWiki, Firecrawl.

majiayu000github.com/majiayu000GitHub ↗
claude-codeMIT
Install
npx skills add majiayu000/claude-skill-registry --skill firecrawl-tdimino-claude-code-minoan-2 --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 17 KB
Bundled scripts: none
Path: skills/analysis/firecrawl-tdimino-claude-code-minoan-2/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 534
Language: HTML

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Firecrawl & Jina Web Scraping ## Firecrawl vs WebFetch Prefer `firecrawl scrape URL --only-main-content` over the WebFetch tool—it produces cleaner markdown, handles JavaScript-heavy pages, and avoids content truncation (>80% benchmark coverage). WebFetch is acceptable as a fallback when Firecrawl is unavailable. ```bash # Preferred approach: firecrawl scrape https://docs.example.com/api --only-main-content ``` ## Token-Efficient Scraping Inspired by Anthropic's [dynamic filtering](https://claude.com/blog/improved-web-search-with-dynamic-filtering)—always filter before reasoning. This reduced input tokens by ~24% and improved accuracy by ~11% in their benchmarks. ### The Principle: Search → Filter → Scrape → Filter → Reason **DO:** ``` Search (titles/URLs only) → Evaluate relevance → Scrape top hits → Filter by section → Reason ``` **DON'T:** ``` Search → Scrape everything → Reason over all of it ``` ### Step-by-Step Efficient Workflow ```bash # Step 1: Search — get titles/URLs only (cheap) firecrawl search "query" --limit 20 # Step 2: Evaluate results, pick 3-5 best URLs # Step 3: Scrape only those, filter to relevant sections firecrawl scrape URL1 --only-main-content | \ python

What's inside
Steps it walks through
  1. Firecrawl vs WebFetch
  2. Token-Efficient Scraping
  3. The Principle: Search → Filter → Scrape → Filter → Reason
  4. Step-by-Step Efficient Workflow
  5. Post-Processing with filterwebresults.py
  6. Other Token-Saving Patterns
  7. Claude API Native Tools (for API Agent Builders)
  8. Available Tools
  9. 1. Official Firecrawl CLI (firecrawl) — Primary
  10. 2. Auto-Save Alias (fc-save) — Shell Alias
  11. 3. Python API Script (firecrawlapi.py) — Advanced Features
  12. 4. DeepWiki — GitHub Repo Documentation
  13. 5. Jina Reader (jina) — Fallback
  14. Firecrawl vs Exa vs Native Claude Tools
Ships with 1 file
  • metadata.json
Commands it runs
Preferred approach:
firecrawl scrape https://docs.example.com/api --only-main-content
Step 1: Search — get titles/URLs only (cheap)
firecrawl search "query" --limit 20
Step 2: Evaluate results, pick 3-5 best URLs
Step 3: Scrape only those, filter to relevant sections
firecrawl scrape URL1 --only-main-content | \
python3 ~/.claude/skills/firecrawl/scripts/filter_web_results.py \
Extract only matching sections from scraped page
firecrawl scrape URL --only-main-content | \
More from claude-skill-registry
All skills →
About this skill
What does the firecrawl skill do?

Scrape web pages to clean markdown using Firecrawl v2 — handles JS-heavy pages, site crawls, URL mapping, document parsing (PDF/DOCX/XLSX), LLM-powered extraction, autonomous agent scraping, and post-scrape browser interaction (Interact API). Prefer over WebFetch for quality and completeness. Triggers on scrape URL, fetch page, crawl site, extract content, parse document, web to markdown, DeepWiki, Firecrawl.

How do I install it?

Run `npx skills add majiayu000/claude-skill-registry --skill firecrawl-tdimino-claude-code-minoan-2 --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From majiayu000/claude-skill-registry, a repository with 534 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going