context_engineering
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
rag_implementation
Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.
state_management
State persistence patterns for autonomous-dev including JSON persistence, atomic writes, file locking, crash recovery, and state versioning. Use when implementing stateful libraries or features requiring persistent state.
moai-design-tools
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moai-foundation-context
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moai-design-tools
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moai-foundation-context
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context-optimization
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context-degradation
Recognize, diagnose, and mitigate patterns of context degradation in agent systems. Use when context grows large, agent performance degrades unexpectedly, or debugging agent failures.
context-fundamentals
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recall
Rebuild recent working context from chat history, live state, and the shared record, then hand back a tight current-state brief. Use for recall my work on X, catch me up, what have I been working on, or where did I leave off.
context-engineering
Supplementary context protocol for agents executing in a repo that has a CLAUDE.md / AGENTS.md (or equivalent config). Use to make an execution agent read project conventions first, treat inputs by trust level, surface plan-vs-convention conflicts instead of silently picking a side, and reuse existing patterns before writing new code.
domain-modeling
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
wait-what
Re-pitch the last message in plain English using the project's CONTEXT.md vocabulary.
ai-agent-cost-optimizer
Audit and reduce AI agent token and inference spend through context discipline, prompt caching, model routing, batching, and workflow capture. Use when discussing AI coding bills, token waste, model selection, prompt caching, or agent cost optimization.
go-concurrency
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home-assistant
Query a Home Assistant instance for presence, sensor data, calendar events, and cameras
handoff
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compact-state
Join The Compact State — a shared autonomous agent network with on-chain identity, persistent memory, and collective governance.
compact-state
Join The Compact State — a shared autonomous agent network with on-chain identity, persistent memory, and collective governance.
