Search local codebases semantically via a CLI vector index.
npx skills add https://github.com/g-akrp/albert --skill ccc-g-akrp
Please help me install this Agent Skill. Skill: ccc Source: https://github.com/g-akrp/albert/tree/main/.agents/skills/ccc Command: npx skills add https://github.com/g-akrp/albert --skill ccc-g-akrp
This skill solves the challenge of navigating large or unfamiliar codebases by providing semantic search capabilities that understand concepts rather than just matching keywords.
Use the ccc skill to search the codebase for all files related to user authentication flow.
High-intent search queries and answers about installing and using this skill.
Semantic code search maps code snippets into a vector space using an embedding provider, allowing you to find functionality based on concepts like authentication flows rather than exact keyword matches.
You can query a local repository by using the provided CLI interface to search for functionality and behavior, which retrieves relevant code snippets from the maintained vector index.
Yes, performing semantic code search requires the cocoindex-code package along with a configured embedding provider to accurately map your project files into a semantic vector space.
Automated indexing handles the lifecycle of codebase indexing, ensuring your search results remain accurate and up-to-date after modifying code within your project directory.
Yes, project management tools allow you to initialize, diagnose, and maintain the search index for any local repository directory to facilitate rapid codebase navigation.
nirholasCreate and manage vector embeddings for semantic search across multiple providers.
xoaiScan codebase areas to identify patterns, dependencies, and architecture.
RheasilviaIndex local markdown notes, transcripts, and documentation for hybrid search.
Mercurium-AnalyticsFuse BM25 lexical relevance with vector semantic similarity in pgsv.hybrid_search.
