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Web Claude

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Unified web search skill. Fallback order — web_search(Brave) → duckduckgo → claude.ai. Auto-cache search results (saved to memory/research/)

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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.

  1. ```
  2. browser navigate → https://claude.ai/new
  3. browser act type → "search question"
  4. browser act press → Enter
  5. sleep 15-30s
  6. browser snapshot → extract response
  7. ```
  • 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

  1. AI Agent Market to Reach $47B by 2030 - TechCrunch
  2. https://techcrunch.com/...
  3. - CAGR 43.2% growth forecast
  4. - Enterprise agents account for 60%
  1. Korean AI Market Exceeds 1 Trillion KRW - Chosun Ilbo
  2. https://chosun.com/...
  3. - Q1 2026 basis
  4. - 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

  1. ```
  2. browser navigate → https://claude.ai/new (or existing tab)
  3. browser snapshot → save targetId
  4. Find input field (contenteditable div or textarea)
  5. browser act type → enter question
  6. browser act press → Enter
  7. sleep 15-30s (wait for response)
  8. browser snapshot → extract response text
  9. Return result to caller + save to memory/research/
  10. ```

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 무펭이Mupengism 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

What does Web Claude do?
Unified web search skill. Fallback order — web_search(Brave) → duckduckgo → claude.ai. Auto-cache search results (saved to memory/research/)
What platforms support Web Claude?
Web Claude is available on Claude Code, OpenClaw.
What are the use cases for Web Claude?
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.

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