moai-workflow-jit-docs

Just-in-time loading retrieves documentation only when needed based on user intent, reducing initial load time and memory usage. This Skill detects your question or technology focus and fetches relevant docs from local, official, and community sources on demand, caching frequently accessed content for fast repeat access.

Yes. This Skill integrates with FastAPI, React, PostgreSQL, Docker, and Kubernetes, applying domain-specific patterns and intent analysis for each technology. It prioritizes source relevance and intelligently caches documentation across these frameworks and platforms.

Caching documentation reduces repeated network calls and memory overhead by storing frequently accessed assets locally. This Skill implements intelligent caching with compression and memory-safety measures, enabling fast retrieval without bloating system resources during incremental doc indexing.

Intent analysis interprets your question or domain context to prioritize relevant documentation over generic results. This Skill detects what you're trying to accomplish and matches it against local and official sources, returning the most contextually appropriate docs first.

JIT loading trades minimal upfront overhead for slightly delayed initial retrieval while building a cache. This Skill monitors performance metrics and optimizes speed through compression, incremental indexing, and intelligent source prioritization to balance responsiveness and memory usage.

No. This Skill works with local docs when available but also integrates official and community documentation sources. It prioritizes sources based on relevance and context, so you can start without local copies and add them later for offline access.