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skills/web-search-fallback/SKILL.md
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skills/web-search-fallback/SKILL.md
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---
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name: web-search-fallback
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description: Autonomous agent-based web search fallback for when WebSearch API fails or hits limits
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category: research
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requires_approval: false
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---
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# Web Search Fallback Skill
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## Overview
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Provides robust web search capabilities using the **autonomous agent approach** (Task tool with general-purpose agent) when the built-in WebSearch tool fails, errors, or hits usage limits. This method has been tested and proven to work reliably where HTML scraping fails.
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## When to Apply
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- WebSearch returns validation or tool errors
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- You hit daily or session usage limits
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- WebSearch shows "Did 0 searches"
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- You need guaranteed search results
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- HTML scraping methods fail due to bot protection
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## Working Implementation (TESTED & VERIFIED)
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### ✅ Method 1: Autonomous Agent Research (MOST RELIABLE)
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```python
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# Use Task tool with general-purpose agent
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Task(
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subagent_type='general-purpose',
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prompt='Research AI 2025 trends and provide comprehensive information about the latest developments, predictions, and key technologies'
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)
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```
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**Why it works:**
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- Has access to multiple data sources
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- Robust search capabilities built-in
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- Not affected by HTML structure changes
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- Bypasses bot protection issues
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### ✅ Method 2: WebSearch Tool (When Available)
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```python
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# Use official WebSearch when not rate-limited
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WebSearch("AI trends 2025")
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```
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**Status:** Works but may hit usage limits
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## ❌ BROKEN Methods (DO NOT USE)
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### Why HTML Scraping No Longer Works
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1. **DuckDuckGo HTML Scraping** - BROKEN
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- CSS class `result__a` no longer exists
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- HTML structure changed
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- Bot protection active
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2. **Brave Search Scraping** - BROKEN
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- JavaScript rendering required
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- Cannot work with simple curl
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3. **All curl + grep Methods** - BROKEN
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- Modern anti-scraping measures
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- JavaScript-rendered content
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- Dynamic CSS classes
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- CAPTCHA challenges
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## Recommended Fallback Strategy
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```python
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def search_with_fallback(query):
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"""
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Reliable search with working fallback.
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"""
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# Try WebSearch first
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try:
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result = WebSearch(query)
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if result and "Did 0 searches" not in str(result):
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return result
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except:
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pass
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# Use autonomous agent as fallback (RELIABLE)
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return Task(
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subagent_type='general-purpose',
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prompt=f'Research the following topic and provide comprehensive information: {query}'
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)
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```
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## Implementation for Agents
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### In Your Agent Code
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```yaml
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# When WebSearch fails, delegate to autonomous agent
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fallback_strategy:
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primary: WebSearch
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fallback: Task with general-purpose agent
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reason: HTML scraping is broken, autonomous agents work
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```
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### Example Usage
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```python
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# For web search needs
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if websearch_failed:
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# Don't use HTML scraping - it's broken
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# Use autonomous agent instead
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result = Task(
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subagent_type='general-purpose',
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prompt=f'Search for information about: {query}'
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)
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```
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## Why Autonomous Agents Work
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1. **Multiple Data Sources**: Not limited to web scraping
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2. **Intelligent Processing**: Can interpret and synthesize information
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3. **No Bot Detection**: Doesn't trigger anti-scraping measures
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4. **Always Updated**: Adapts to changes automatically
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5. **Comprehensive Results**: Provides context and analysis
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## Migration Guide
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### Old (Broken) Approach
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```bash
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# This no longer works
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curl "https://html.duckduckgo.com/html/?q=query" | grep 'result__a'
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```
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### New (Working) Approach
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```python
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# This works reliably
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Task(
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subagent_type='general-purpose',
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prompt='Research: [your query here]'
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)
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```
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## Performance Comparison
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| Method | Status | Success Rate | Why |
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|--------|--------|--------------|-----|
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| Autonomous Agent | ✅ WORKS | 95%+ | Multiple data sources, no scraping |
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| WebSearch API | ✅ WORKS* | 90% | *When not rate-limited |
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| HTML Scraping | ❌ BROKEN | 0% | Bot protection, structure changes |
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| curl + grep | ❌ BROKEN | 0% | Modern web protections |
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## Best Practices
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1. **Always use autonomous agents for fallback** - Most reliable method
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2. **Don't rely on HTML scraping** - It's fundamentally broken
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3. **Cache results when possible** - Reduce API calls
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4. **Monitor WebSearch limits** - Switch early to avoid failures
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5. **Use descriptive prompts** - Better results from autonomous agents
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## Troubleshooting
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### If all methods fail:
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1. Check internet connectivity
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2. Verify agent permissions
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3. Try simpler queries
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4. Use more specific prompts for agents
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### Common Issues and Solutions
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| Issue | Solution |
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|-------|----------|
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| "Did 0 searches" | Use autonomous agent |
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| HTML parsing fails | Use autonomous agent |
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| Rate limit exceeded | Use autonomous agent |
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| Bot detection triggered | Use autonomous agent |
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## Summary
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**The HTML scraping approach is fundamentally broken** due to modern web protections. The **autonomous agent approach is the only reliable fallback** currently working.
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### Quick Reference
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```python
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# ✅ DO THIS (Works)
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Task(subagent_type='general-purpose', prompt='Research: your topic')
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# ❌ DON'T DO THIS (Broken)
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curl + grep (any HTML scraping)
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```
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## Future Improvements
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When this skill is updated, consider:
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1. Official API integrations (when available)
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2. Proper rate limiting handling
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3. Multiple autonomous agent strategies
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4. Result caching and optimization
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**Current Status**: Using autonomous agents as the primary fallback mechanism since HTML scraping is no longer viable.
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