Query the .meaning/ index with natural language to locate files by intent and tags.
npx skills add https://github.com/bozaah/meaning-fs --skill meaning-query
Please help me install this Agent Skill. Skill: meaning-query Source: https://github.com/bozaah/meaning-fs/tree/main/.claude/skills/meaning-query Command: npx skills add https://github.com/bozaah/meaning-fs --skill meaning-query
This skill provides instant, natural-language semantic search over the .meaning/ index, enabling you to surface files by intent, tags, and relationships without grep-based workflows.
Use natural language questions to query the meaning index. For example:
High-intent search queries and answers about installing and using this skill.
To find where a function is implemented, perform a natural language semantic search against the .meaning/ index using queries like "Where is parsing implemented?" to surface relevant files by intent and relationships.
Semantic search over a meaning index is querying a local .meaning/ index with natural language to reveal file intent, tags, and relationships, replacing traditional grep-based workflows with deterministic, local inference results.
No external services are required to run natural language queries on your codebase. The skill executes via a local inference pipeline using the meaning query engine, providing fast and deterministic results entirely offline.
You can find configuration files across a project without grep by asking the meaning index natural language questions like "Show me all configuration files" to quickly surface related artifacts and tags.
The best way to discover related artifacts and file relationships in a codebase is to apply natural language semantic search against the .meaning/ index to reveal connections and locate files by concepts and intents.
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