{"skill":{"slug":"context-engineering","displayName":"Agent-Skills-for-Context-Engineering","summary":"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.","tags":{"latest":"1.0.0"},"stats":{"comments":0,"downloads":3107,"installsAllTime":15,"installsCurrent":14,"stars":2,"versions":1},"createdAt":1769591142520,"updatedAt":1777611264584},"latestVersion":{"version":"1.0.0","createdAt":1769591142520,"changelog":"- Initial release of the context-engineering-collection skill.\n- Provides comprehensive guidance for building, optimizing, and debugging AI agent systems focused on effective context management.\n- Covers foundational concepts, architectural patterns (multi-agent, memory systems, tool design), operational techniques (compression, optimization, evaluation), and project development methodology.\n- Includes skill references for modular use and integration within any platform or agent framework.\n- Offers practical, platform-agnostic advice and links to further internal and external resources.","license":null},"metadata":null,"owner":{"handle":"leoyessi10-tech","userId":"publishers:leoyessi10-tech","displayName":"leoyessi10-tech","image":"https://avatars.githubusercontent.com/u/243286562?v=4"},"moderation":null}