web-research
Skill0 starsChanged 7 months agoMITView on GitHub
Use PROACTIVELY when you need to search the web or read/scrape any webpage. Provides local SearXNG search and Firecrawl/trafilatura web scraping. Use this instead of WebSearch/WebFetch when those tools fail or for better results.
- Installs packages
- Sends data out
45 other projects use a version of this.
Adopted by
Most recently taken up by
- juninmd/skillstheir own version, first seen Nov 8, 2026
- thensls/nsls-builder-toolkittheir own version, first seen Nov 8, 2026
- memi-design/design-skillstheir own version, first seen Nov 8, 2026
- ai-assist-org/ai-assisttheir own version, first seen Nov 8, 2026
- WingedGuardian/GENesis-AGItheir own version, first seen Nov 8, 2026
- Bobagi/claude-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use data-analysis, meeting-notes and 10 more.
Other files people use alongside this one.
Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
shanggqmSkilldata-analysis
数据分析技能,提供结构化的数据查询、统计分析和报告生成工作流。当用户需要查询数据库、进行数据统计分析、生成分析报告时使用。按规范输出原始数据、计算结果、Markdown报告和HTML可视化报告。
Also in 5 projects that use this
claude-office-skillsSkillmeeting-notes
>
Also in 4 projects that use this
MicrosoftSkillweb-search
Also in 5 projects that use this
kongyo2Skillprompt-engineering
Comprehensive prompt engineering framework for designing, optimizing, and iterating LLM prompts. This skill should be used when users request prompt creation, optimization, or improvement for any LLM task, or when users need help translating vague requirements into effective prompts through collaborative dialogue and iterative refinement.
Also in 4 projects that use this
rogue-dev-studioSkillbrowser-automation
Canonical browser automation and web UI verification: Playwright, agent browser CLIs, and CDP-based tooling in one playbook.
Also in 3 projects that use this
JetBrainsSkillbrand-guidelines
Applies Anthropic's official brand colors and typography to any sort of artifact that may benefit from having Anthropic's look-and-feel. Use it when brand colors or style guidelines, visual formatting, or company design standards apply.
Also in 4 projects that use this
Other versions45 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 45
- langchain-ai/deepagents★ 31ksame name
- pollinations/pollinations★ 5.3ksame name
- langchain-ai/deepagentsjs★ 1.6ksame name
- alfredxw/denova★ 990same name
- icey1287/SuperMew★ 884same name
- cohen-liel/hivemind★ 108same name
- grandamenium/cortextos★ 106same name
- WingedGuardian/GENesis-AGI★ 100same name
- jezweb/vite-flare-starter★ 49same name
- dewil/ai-toolkit★ 9same name
35 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository17 other files it gives its agents.
- CLAUDE.mdCLAUDE.md
- agent-detectionSkill
- auto-delegationSkill
- bookstackSkill
- delegatorSkill
- faceswapSkill
- git-standardsSkill
- headswapSkill
- health-dashboardSkill
- imageSkill
- motionSkill
- multi-terminalSkill
- project-docsSkill
- quality-gatesSkill
- safety-gateSkill
- upscaleSkill
- videoSkill
The file
We split this skill into the rules it gives an agent
4 rules. 0 are common, 2 are distinctive, and 2 are very specific to this project.
0
Common
Most of the 38 edited versions we read keep these.
2
Distinctive
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 4
Use PROACTIVELY when you need to search the web or read/scrape any webpage.
- Distinctive: line 6
Use this instead of WebSearch/WebFetch when those tools fail or for better results.
- Very specific: line 23
If not configured, defaults: SEARXNG_URL=http://localhost:8080, FIRECRAWL_URL=http://localhost:3002
- Very specific: line 37
When WebSearch or WebFetch fail or return incomplete results
“Common” is measured: kept by at least 6 in 10 of the 38 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
Web Research — SearXNG + Scraping
Local self-hosted web search and scraping for research tasks.
Configuration
URLs are configured per-project in .claude/cwe-settings.yml:
searxng_url: http://localhost:8080 # Your SearXNG instance
firecrawl_url: http://localhost:3002 # Your Firecrawl instance (optional)If not configured, defaults: SEARXNG_URL=http://localhost:8080, FIRECRAWL_URL=http://localhost:3002
Services
| Service | Config Key | Purpose | Status |
| SearXNG | searxng_url | Web search (metasearch) | Primary |
| Firecrawl | firecrawl_url | JS-capable scraping | Optional (may be offline) |
| trafilatura | Python library | Static page scraping | Fallback (always available) |
When to Use
- Web search for facts, current events, verification
- Reading full articles, documentation, reports
- When
WebSearchorWebFetchfail or return incomplete results - Research tasks that need multiple sources
SearXNG Search
curl -s "${SEARXNG_URL}/search?q=QUERY&format=json&language=de" | python3 -c "
import sys, json
data = json.load(sys.stdin)
for i, r in enumerate(data.get('results', [])[:10], 1):
print(f\"{i}. {r.get('title', '?')}\")
print(f\" {r.get('url', '')}\")
s = r.get('content', '')[:120]
if s: print(f\" {s}\")
print()
"Search Parameters
| Param | Default | Description |
q | required | Search query (URL-encoded) |
format | json | Always use json |
language | de | de, en, all |
safesearch | 1 | 0=off, 1=moderate, 2=strict |
engines | all | google,bing,duckduckgo |
categories | all | general, news, images, videos, science |
time_range | none | day, week, month, year |
Tips
- Current events:
&time_range=weekor&categories=news - English results:
&language=en - URL-encode spaces as
+
Scraping Pages
Option 1: Firecrawl (if available)
Best for JS-heavy sites. Test availability first:
curl -s -X POST "${FIRECRAWL_URL}/v1/scrape" \
-H "Content-Type: application/json" \
-d '{"url":"https://example.com","formats":["markdown"],"onlyMainContent":true}' | python3 -c "
import sys, json
data = json.load(sys.stdin)
if data.get('success'):
print(data['data'].get('markdown', '')[:5000])
else:
print('ERROR:', data.get('error', 'Unknown'))
"Option 2: trafilatura (always available, fallback)
Works for static pages, articles, news sites:
python3 -c "
import trafilatura
url = 'https://example.com/article'
downloaded = trafilatura.fetch_url(url)
if downloaded:
text = trafilatura.extract(downloaded, include_tables=True, include_links=False)
if text:
print(text[:5000])
else:
print('ERROR: No content extracted')
else:
print('ERROR: Could not fetch URL')
"Option 3: curl + trafilatura (most reliable)
curl -sL -H "User-Agent: Mozilla/5.0" "URL_HERE" | python3 -c "
import sys, trafilatura
html = sys.stdin.read()
text = trafilatura.extract(html, include_tables=True)
print(text[:5000] if text else 'ERROR: No content')
"Workflow: Search + Scrape + Analyze
# 1. Search (URLs into a temp file, no fixed /tmp path)
URLS=$(mktemp "${TMPDIR:-/tmp}/cwe-urls-XXXXXX")
curl -s "${SEARXNG_URL}/search?q=claude+code+plugins&format=json&language=en" | python3 -c "
import sys, json
results = json.load(sys.stdin).get('results', [])[:5]
for r in results:
print(r['url'])
" > "$URLS"
# 2. Scrape top results (URL via argv — never interpolate it into the source)
while read -r url; do
echo "=== $url ==="
python3 -c "
import sys, trafilatura
d = trafilatura.fetch_url(sys.argv[1])
if d:
t = trafilatura.extract(d, include_tables=True)
if t: print(t[:3000])
" "$url"
done < "$URLS"
rm -f "$URLS"Firecrawl API Reference (when available)
| Endpoint | Method | Purpose |
/v1/scrape | POST | Single URL scrape |
/v1/crawl | POST | Multi-page crawl |
/v1/map | POST | Sitemap/URL discovery |
Scrape body: {"url": "...", "formats": ["markdown"], "onlyMainContent": true, "waitFor": 2000}
Notes
- SearXNG: local network, no auth, no rate limits
- Firecrawl: may be offline — always try trafilatura as fallback
- For YouTube/video/audio URLs: use
/cwe:transcriptinstead - trafilatura:
pip install trafilaturaif not installed
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

