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automation
Agent-Skills-for-Context-Engineering
This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.
Installation
Run this in your terminal or add to your configuration:
# Clone into your skills directory
git clone ...About this Skill
- Initial release of the context-engineering-collection skill.
- Provides comprehensive guidance for building, optimizing, and debugging AI agent systems focused on effective context management.
- Covers foundational concepts, architectural patterns (multi-agent, memory systems, tool design), operational techniques (compression, optimization, evaluation), and project development methodology.
- Includes skill references for modular use and integration within any platform or agent framework.
- Offers practical, platform-agnostic advice and links to further internal and external resources.