learn

# learn Research any topic by gathering online resources and creating a comprehensive learning guide with RAG-optimized indexes. ## Parse Arguments ```javascript const args = '$ARGUMENTS'.split(' ').filter(Boolean); const depth = args.find(a => a.startsWith('--depth='))?.split('=')[1] || 'medium'; const topic = args.filter(a => !a.startsWith('--')).join(' '); ``` ## Input Arguments: `<topic> [--depth=brief|medium|deep]` - **topic**: Subject to research (required) - **--depth**: Source gathering depth - `brief`: 10 sources (quick overview) - `medium`: 20 sources (default, balanced) - `deep`: 40 sources (comprehensive) ## Research Methodology Based on best practices from: - Anthropic's Context Engineering - DeepLearning.AI Tool Use Patterns - Anara's AI Literature Reviews ### 1. Progressive Query Architecture Use funnel approach to avoid noise from long query lists: **Broad Phase** (landscape mapping): ``` "{topic} overview introduction" "{topic} documentation official" ``` **Focused Phase** (core content): ``` "{topic} best practices" "{topic} examples tutorial" "{topic} site:stackoverflow.com" ``` **Deep Phase** (advanced, if depth=deep): ``` "{topic} advanced techniques" "{topic} pitfalls mistakes avoid" "{topic} 2025 2026 latest" ``` ### 2. Source Quality Scoring Multi-dimensional evaluation (max score: 100): | Factor | Weight | Max | Criteria | |--------|--------|-----|----------| | Authority | 3x | 30 | Official docs (10), recognized expert (8), esta...