Build a local knowledge graph of repository structure for semantic code exploration.
npx skills add https://github.com/stueeey/RepoQL.Public --skill repoql
Please help me install this Agent Skill. Skill: repoql Source: https://github.com/stueeey/RepoQL.Public/tree/main/clawdbot/skills/repoql Command: npx skills add https://github.com/stueeey/RepoQL.Public --skill repoql
RepoQL provides a local knowledge graph for repositories, allowing teams to explore code structure and relationships without reading every file.
Inspect a repository by inventorying its structure and then locating key concepts with targeted queries.
High-intent search queries and answers about installing and using this skill.
To explore an unfamiliar codebase without reading every file, you can build a local knowledge graph of the repository structure. This approach indexes code relationships to enable semantic searches and targeted pattern discovery.
The best way to locate where a symbol is implemented in a large repository is using semantic search within a local knowledge graph. This allows you to pinpoint specific files and inspect their structural relationships quickly.
Building a knowledge graph helps with code exploration by indexing repository structure into a navigable format. This enables you to inventory components, locate implementations, and inspect architectural relationships without manual file traversal.
Yes, you can perform semantic searches to discover code patterns across an entire project. By indexing the code structure into a knowledge graph, you can query complex architectural relationships and synthesize component interactions.
Yes, this code exploration approach works for understanding component interactions in unfamiliar codebases. It supports an explain workflow that synthesizes how different parts of the architecture interact based on the indexed knowledge graph.
A limitation of using a local knowledge graph for repository code exploration is that it requires indexing code structure first. This approach focuses on structural and semantic queries rather than providing a direct runtime execution trace.
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