Context Engineering

Planning with Files implements the Manus-style context engineering pattern, creating task_plan.md, findings.md, and progress.md files to serve as persistent 'working memory on disk'. It helps manage complex multi-step tasks by tracking phases, storing research findings, logging progress, and recovering context across sessions. The skill supports 10+ AI coding assistants including Claude Code, Cursor, Gemini CLI, and Kiro.

A comprehensive collection of educational skills for learning context engineering principles. Covers context window management, multi-agent coordination patterns, memory system design, tool creation, and evaluation frameworks. All scripts are demonstrations using mock data to illustrate concepts without external dependencies.

A comprehensive reference guide for understanding and optimizing context in LLM agent systems. Covers context anatomy, degradation patterns, multi-agent verification workflows, and optimization techniques like compaction and observation masking.