semantic-code

Query Python symbol overviews, definitions, and references through a local Serena MCP bridge.

Updated Aug 19, 2026
One-click install
npx skills add https://github.com/Base-Analitica/mouse-hub --skill semantic-code-base-analitica
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: semantic-code
Source: https://github.com/Base-Analitica/mouse-hub/tree/main/.jcode/skills/semantic-code
Command: npx skills add https://github.com/Base-Analitica/mouse-hub --skill semantic-code-base-analitica

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve? Reading large Python source files line by line wastes context and time when you only need a symbol definition, its references, or a structural overview. This Skill provides semantic code navigation through a project-local, read-only bridge to the Serena MCP server, so you can inspect symbols before deciding what to read in full. ## Core Features & Use Cases - Symbol Overview: Get a structural overview of any Python file with scripts/agent/semantic-code overview <path> before opening it. - Symbol Lookup and References: Find symbol definitions with find <name> --path <path> and trace usages with refs <name> <path>, plus optional --body output. - Diagnostics and Health Checks: Run diagnostics <path> for file-level issues and tools as a health check; bootstrap once with scripts/agent/bootstrap-serena if the bridge is missing. - Use Case: While refactoring a PyQt5 desktop app, locate every reference to a DPI-handling function across the codebase without loading entire modules into context. ## Quick Start Ask the agent to use the semantic-code bridge to show an overview of a Python file and find all references to a specific function before editing it.

Frequently Asked Questions about semantic-code

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I find all references to a Python function without reading every file?▼

Run scripts/agent/semantic-code refs <name> <path> to trace symbol references through the Serena MCP bridge. This returns usage locations semantically instead of relying on plain text search across the codebase.

How to get a structural overview of a large Python file?▼

Use scripts/agent/semantic-code overview <path> to list the file's symbols and structure before reading it. This lets you target only the relevant sections instead of loading the entire source into context.

Does the Serena MCP bridge require a running server or open port?▼

No, the bridge uses stdio transport only with pinned, project-local dependencies. There is no global MCP registration and no network port involved.

What should I do if the semantic-code bridge is missing or fails?▼

Run scripts/agent/semantic-code tools as a health check, then scripts/agent/bootstrap-serena once if the bridge is missing, which requires uv. If Serena still fails, fall back to rg and native file tools.

When should I not use semantic code navigation?▼

Skip it for non-code files, direct edits, and cases where exact reads are sufficient. The bridge is read-only and intended only when semantic navigation genuinely helps before reading large Python files.