serena-usage

Manage project memory and navigate codebases via symbol lookup.

7|2|Updated Feb 20, 2026

Search Tags:#refactoring #memory management #ai agent #code navigation #project context #serena mcp

Ready to run

npx skills add https://github.com/PracticalSwan/agent-skills --skill serena-usage-practicalswan

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: serena-usage
Source: https://github.com/PracticalSwan/agent-skills/tree/main/serena-usage
Command: npx skills add https://github.com/PracticalSwan/agent-skills --skill serena-usage-practicalswan

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and examples (resource) components.

What problem does it solve?

This Skill streamlines AI agent workflows by providing robust tools for managing project memory, navigating codebases, and performing intelligent refactoring, ensuring continuity and efficiency across AI sessions.

Core Features & Use Cases

Memory Management: Create, read, update, and delete project memories to maintain context.
Code Navigation: Locate symbols, find references, and get overviews of code structure.
Refactoring: Safely rename symbols, replace code bodies, and insert new code.
Use Case: When working on a complex project, use Serena to recall past architectural decisions, find all usages of a specific function before modifying it, and then update the project's memory with the rationale for the change.

Quick Start

Use the serena-usage skill to activate the current project and list all available memories.

Frequently Asked Questions about serena-usage

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

FAQPage Schema

How do I maintain AI agent context across sessions for a complex codebase?▼

To maintain AI agent context across sessions, use memory management operations to create, read, and update persistent memory banks. This ensures continuity by recalling past architectural decisions and project context.

What's the best way to find all references of a function before modifying it?▼

The best way to find function references is using symbolic code navigation to locate symbols and trace references. This provides an overview of code structure to safely plan modifications before refactoring.

Can I use Serena MCP for Python and TypeScript development environments?▼

Yes, Serena MCP supports both Python and TypeScript development environments. It provides tools for memory persistence and code analysis to manage project context and perform intelligent refactoring.

How do I safely rename symbols and replace code bodies using an AI agent?▼

To safely rename symbols and replace code bodies, use refactoring tools that locate all references first. This prevents broken dependencies by ensuring the agent updates every usage across the codebase.

Why does my AI agent lose project context between different coding sessions?▼

AI agents lose project context between sessions without persistent memory management. Creating and updating memory banks stores architectural decisions and project state to ensure continuity.

When do I need project context and code intelligence for AI workflows?▼

You need project context and code intelligence for AI workflows when performing complex refactoring or navigating large codebases. It streamlines agent operations by providing robust tools for continuity and efficiency.