context-engineer

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.

Comprehensive context engineering guidance for AI agent systems. Routes to specialized sub-skills for production agent work. Use when the user asks to: "opti...

Automatically monitors and optimizes conversation context to prevent prompt size errors by extracting key points and clearing excess history.

Intelligent context window management by summarizing and removing redundant history. Helps agents maintain high performance in long-running threads.

Manage AI agent context window consumption, prevent compaction death spirals, and enforce sub-agent spawn policies. Use when: (1) context is filling up and w...

Advanced context management with auto-compaction and dynamic context optimization for DeepSeek's 64k context window. Features intelligent compaction (merging, summarizing, extracting), query-aware relevance scoring, and hierarchical memory system with context archive. Logs optimization events to chat.