Web Claude
VerifiedUnified web search skill. Fallback order — web_search(Brave) → duckduckgo → claude.ai. Auto-cache search results (saved to memory/research/)
$ Add to .claude/skills/ About This Skill
# Unified Web Search 🐧
Reliable web search via 3-tier fallback strategy: Brave API → DuckDuckGo → claude.ai browser
Search Strategy
Tier 1: web_search (Brave API) — ⚡ Fast and Reliable (Recommended)
Use OpenClaw built-in `web_search` tool.
``` web_search(query="search query", count=5, freshness="pw") ```
- Pros:
- Fast response (1-2s)
- Structured JSON results
- freshness parameter support (pd=24h, pw=1 week, pm=1 month)
- search_lang, country parameters for Korean/regional search
- Cons:
- Requires Brave API key
- `missing_brave_api_key` error without key
Tier 2: duckduckgo-search — 🔒 Privacy-focused (Fallback)
Use DuckDuckGo API when Brave fails.
```bash python -c " from duckduckgo_search import DDGS
with DDGS() as ddgs: results = list(ddgs.text('query', region='wt-wt', max_results=5)) for r in results: print(f\"{r['title']}: {r['href']}\") " ```
- Pros:
- No API key required
- Privacy-friendly
- Various search types (text, news, images, videos)
- Cons:
- Lower result quality than Brave
- Request limits (blocks if too many consecutive requests)
Tier 3: web-claude (Browser) — 🧠 Analysis+Search (Last Resort)
Trigger web search in claude.ai browser tab.
- ```
- browser navigate → https://claude.ai/new
- browser act type → "search question"
- browser act press → Enter
- sleep 15-30s
- browser snapshot → extract response
- ```
- Pros:
- No API key required
- claude.ai auto web search + analyze + summarize
- Useful for complex research
- Cons:
- Slow (15-30s)
- Requires browser (port 18800, openclaw profile)
- Daily message limit (free account)
- Automation detection risk
Auto-fallback Logic
``` if web_search available: try web_search(query) if success: return results if web_search failed or unavailable: try duckduckgo-search if success: return results if both failed: fallback to web-claude browser method ```
Search Results Auto-cache
All search results automatically saved to `memory/research/` folder:
Filename Convention: ``` memory/research/search-YYYY-MM-DD-HH-MM-[keyword].md ```
- Saved Content:
- Search query
- Timestamp
- Search method used (Brave/DuckDuckGo/claude.ai)
- Search results (links + summaries)
- Extracted insights
Example: ```markdown # Web Search: AI Agent Market Size
- Search Time: 2026-02-14 07:56 KST
- Search Method: web_search (Brave API)
- Query: "AI agent market size 2026"
Results
- AI Agent Market to Reach $47B by 2030 - TechCrunch
- https://techcrunch.com/...
- - CAGR 43.2% growth forecast
- - Enterprise agents account for 60%
- Korean AI Market Exceeds 1 Trillion KRW - Chosun Ilbo
- https://chosun.com/...
- - Q1 2026 basis
- - Led by generative AI
...
Insights
- AI agent market growing rapidly
- Enterprise automation is core driver
- Korean market also active
- ```
Usage
General Search
``` "Search for latest AI agent trends" "Find 2026 Korean SaaS investment status" ```
→ Auto-attempts Tier 1 Brave → Tier 2 DDG → Tier 3 claude.ai
Force Specific Method
``` # Brave only "Search with web_search: AI market size"
# DuckDuckGo only "Search with duckduckgo: privacy-focused"
# claude.ai browser only "Analyze with web-claude: complex market research" ```
Using freshness Parameter
``` # Last 24 hours news web_search(..., freshness="pd")
# Last week web_search(..., freshness="pw")
# Last month web_search(..., freshness="pm") ```
Korean Search
``` web_search(query="query", search_lang="ko", country="KR") ```
Browser Method (web-claude) Details
Prerequisites
- OpenClaw browser running (port 18800)
- claude.ai logged in (openclaw profile)
Automation Steps
- ```
- browser navigate → https://claude.ai/new (or existing tab)
- browser snapshot → save targetId
- Find input field (contenteditable div or textarea)
- browser act type → enter question
- browser act press → Enter
- sleep 15-30s (wait for response)
- browser snapshot → extract response text
- Return result to caller + save to memory/research/
- ```
Tips
- Clear search intent: Include time keywords like "latest data", "as of 2026", "current"
- Explicit request: Specify "search and tell me"
- Recommend new chat: Prevent previous context pollution
- Automation detection caution: Don't ask consecutive questions too quickly
Integration with Other Skills
competitor-watch
- Use this unified search skill when monitoring competitors:
- quick-check: Prioritize web_search
- deep-dive: Combine web_search + duckduckgo
- Complex analysis: web-claude fallback
cardnews
- Use search results for card news research:
- Topic research → unified search
- Search results → cardnews content planning
yt-digest
- Search for related info after YouTube summary:
- Video topic → additional web search
- Search results → supplementary insights
When to Use Which Method
| Situation | Recommended Method | |-----------|-------------------| | Need fast search | web_search (Brave) | | No Brave key | duckduckgo-search | | Privacy important | duckduckgo-search | | Need analysis+summary | web-claude | | Complex research | web-claude | | Image/video search | duckduckgo-search | | Latest news (24h) | web_search (freshness="pd") |
Cautions
- web_search: Requires Brave API key (auto-fallback if unavailable)
- duckduckgo: Blocks if too many consecutive requests (wait 1s between requests)
- web-claude: Daily message limit, requires browser
- Search result cache: `memory/research/` folder auto-created
--- > 🐧 Built by 무펭이 — Mupengism ecosystem skill
Use Cases
- Perform web searches with automatic fallback across Brave, DuckDuckGo, and claude.ai
- Cache search results to memory for reference and repeated access
- Build resilient research workflows with multi-provider search fallback
- Access real-time web information through a unified search interface
- Augment AI agent knowledge with cached web research data
Pros & Cons
Pros
- +Compatible with multiple platforms including claude-code, openclaw
- +Well-documented with detailed usage instructions and examples
- +Strong community adoption with a large number of downloads
- +Open source with permissive licensing
Cons
- -No built-in analytics or usage metrics dashboard
- -Configuration may require familiarity with ai & machine learning concepts
FAQ
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