Index and query large codebases for structural insight without reading files.
npx skills add https://github.com/Goldziher/basemind --skill basemind
Please help me install this Agent Skill. Skill: basemind Source: https://github.com/Goldziher/basemind/tree/main/opencode-plugin/skills/basemind Command: npx skills add https://github.com/Goldziher/basemind --skill basemind
Basemind provides contextual understanding of a repository by indexing code, docs, history, and memory so agents can answer structural questions without reading raw files.
Run basemind scan to index the repository, then query for definitions, references, or recent changes.
High-intent search queries and answers about installing and using this skill.
To search for symbol definitions across large codebases without reading raw files, index the repository to build structural outlines and symbol graphs for cross-language navigation. This provides instant context and structural insight for locating definitions quickly.
Yes, you can trace call graphs and caller references by indexing the repository to build a structural symbol graph. This allows agents to examine implementations and follow call graphs without loading the entire source code into context.
The best way to examine git history and blame at the symbol level is to index the repository with a structural code navigation tool. This enables querying of git history, blame, and diffs directly at the symbol level without reading raw files.
Yes, semantic document indexing works with cross-session memory sharing by maintaining shared memory per repository. This allows contextual understanding and structural insights to persist and be reused across multiple agent sessions.
To index a repository and start querying for definitions and recent changes, run a scan command to process code, docs, and git history. Once indexed, you can query for symbol definitions, references, and diffs without reading raw files.
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