opencode-mastery

You can access OpenCode documentation offline by running Python scripts to download docs and build a local search index, enabling lazy-loaded topic retrieval and fast lookups without a continuous internet connection.

Lazy loading for documentation means the skill loads only relevant sections from cached OpenCode docs rather than the entire dataset, optimizing local memory usage and accelerating topic retrieval.

You build a local search index for OpenCode docs by executing the index-builder Python script, which creates a searchable local database to enable fuzzy search across the downloaded documentation.

Yes, you can fetch missing OpenCode information from GitHub. When cached documentation is insufficient, the skill automatically pulls the latest data from GitHub repositories and cites its sources.

Yes, this skill supports cross-session memory for OpenCode inquiries by using a memory-manager Python script to persist context and track history across multiple separate interactions.

You need Python scripts to manage a local OpenCode knowledge base because they handle downloading docs, building deterministic search indexes, and managing session data for offline access and memory persistence.