moai-workflow-jit-docs

On-demand documentation loading works by aggregating materials from local, official, and community sources based on your current query. It uses relevance scoring and progressive disclosure to fetch exactly what you need, when you need it, avoiding unnecessary bulk loading.

The best way to cache documentation is through context persistence, which stores previously loaded materials to avoid redundant fetches across conversations. This skill implements multi-source aggregation with relevance scoring to keep cached docs fresh and applicable to your current domain.

Yes, you can use context-aware caching for troubleshooting with up-to-date references. The skill adapts to your urgency and domain, proactively loading relevant official and community resources to ensure you have the most current documentation available for resolving issues.

Multi-source documentation loading works by simultaneously querying local project docs, official sources, and community resources. It applies relevance scoring to aggregate the results, ensuring you receive a comprehensive view of available information tailored to your specific technical query.

You should avoid on-demand documentation loading when your project requires strictly offline access without external community or official source fetching, or when your workflow demands loading entire documentation sets at once rather than relying on context-aware progressive disclosure.