Is my code sent to a cloud service for indexing?

No, this skill uses the odino CLI with BGE embeddings for fully local semantic search. All indexing and querying happen on your local machine, keeping your codebase private.

How is semantic search different from using grep?

While grep performs exact text matching, semantic search uses AI embeddings to understand the meaning of your query. This allows you to find code that performs a specific function even if it doesn't use the exact words you searched for.

Do I need to be in the project root to use this skill?

No, the skill includes directory traversal logic that automatically searches up the folder tree to find the nearest .odino index, mimicking how git works.

What happens if I haven't indexed my project yet?

If no index is found, the skill will detect the missing .odino directory and provide a suggestion to run the indexing command to get started.

Semantic Code Search

Name: Semantic Code Search
Author: cadrianmae

bycadrianmae

Herramientas para Desarrolladores

Finds relevant code and documentation using local BGE embeddings and conceptual queries instead of exact text matches.

Acerca de

Semantic Code Search integrates the odino CLI into Claude Code to provide fully local, embedding-based search capabilities. Unlike traditional tools like grep that rely on exact string matching, this skill allows Claude to understand the intent behind queries, making it possible to find logic, patterns, and architectural implementations by describing what they do. It features built-in directory traversal to find project indexes automatically and uses query inference to expand simple requests into high-fidelity semantic searches, providing a ranked list of results with similarity scores.

Características Principales

Natural language discovery for features, authentication logic, and codebase structure
0 GitHub stars
Fully local semantic search using BGE embeddings via odino CLI
Conceptual query expansion to improve search accuracy for code patterns
Automatic directory traversal to locate project root indexes from any subdirectory
Ranked search results with similarity scores for precise context retrieval

Casos de Uso

Onboarding to a new codebase by searching for high-level features and logic
Finding implementation patterns when you don't know the specific function names
Mapping out codebase architecture by querying conceptual relationships

Acerca de

Características Principales

Natural language discovery for features, authentication logic, and codebase structure
0 GitHub stars
Fully local semantic search using BGE embeddings via odino CLI
Conceptual query expansion to improve search accuracy for code patterns
Automatic directory traversal to locate project root indexes from any subdirectory
Ranked search results with similarity scores for precise context retrieval

Casos de Uso

Onboarding to a new codebase by searching for high-level features and logic
Finding implementation patterns when you don't know the specific function names
Mapping out codebase architecture by querying conceptual relationships