Documentation Index
Fetch the complete documentation index at: https://docs.agents-squads.com/llms.txt
Use this file to discover all available pages before exploring further.
Why Context Matters
Context is the foundation of agent intelligence. The quality and structure of information you provide directly impacts:- Decision accuracy - Better context = better decisions
- Token efficiency - Optimized context = lower costs
- Response speed - Focused context = faster processing
Context Feeding Strategies
Progressive Disclosure
Start with minimal context, expand only when needed:Structured Context Files
Use project instruction files for persistent context:- Claude Code
- Gemini CLI
- OpenCode
- Cursor
- GitHub Copilot
- Windsurf
Context Hierarchy
- System context - Model capabilities, safety guidelines
- User context - Personal preferences (global CLAUDE.md)
- Project context - Codebase rules (project CLAUDE.md)
- Task context - Current objective, constraints
- Dynamic context - Retrieved knowledge, memory queries
Optimization Techniques
Minimize Redundant Reads
Use Targeted Queries
Leverage Memory
Context Window Management
Monitor Usage
The context window has limits. Track usage:| Model | Context Window | Recommended Max |
|---|---|---|
| Claude Sonnet | 200K tokens | ~150K tokens |
| Claude Opus | 200K tokens | ~150K tokens |
| Claude Haiku | 200K tokens | ~150K tokens |
When Context Gets Large
- Summarize - Compress verbose content
- Prune - Remove irrelevant sections
- Externalize - Store in memory, reference by key
- Delegate - Spawn sub-agents with focused context
Anti-Patterns
Best Practices Checklist
- Use CLAUDE.md for persistent project context
- Query memory before starting research
- Read files once, not repeatedly
- Use Glob/Grep for targeted searches
- Prune context when switching tasks
- Update memory after significant discoveries
Related
Token Economics
Understand and optimize token costs
Memory System
Learn about persistent agent memory