What is a Serena memory in Claude Code?

Serena memory is a standardized markdown documentation format used to help Claude maintain persistent, high-level context about specific code components, modules, and their architectural relationships.

How does this skill identify code components?

The skill parses user requests for class or module names, strips common prefixes like 'C' or 'I', and uses symbol discovery tools to locate the relevant files within the repository.

What specific information does the output include?

The generated memory includes a component overview, specific responsibilities, involved file paths, architectural flow, internal/external dependencies, and known callers.

Can it update existing documentation without overwriting it?

Yes, the skill uses the 'list_memories' and 'read_memory' functions to check for existing content and then performs incremental updates to ensure information is added without losing previous context.

Serena Component Memory Creator

Name: Serena Component Memory Creator
Author: hzqst

byhzqst

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Learning & Documentation

Automates the generation and updating of architectural Serena memory files for specific code components and modules.

This skill provides a structured workflow for Claude to perform source-level analysis on specific code components or modules and record the findings in a standardized 'Serena memory' format. It streamlines the process of documenting codebases by automatically parsing naming conventions, checking for existing context, and gathering evidence using symbol discovery tools. By generating consistent sections for responsibilities, file dependencies, and architectural flows, it ensures that Claude maintains a high-quality, persistent understanding of complex projects like the Metamod Fall Guys plugin.

Key Features

01Standardized templates for responsibilities, dependencies, and call chains.

0216 GitHub stars

03Automated component and module naming normalization based on class prefixes.

04Deep integration with Serena analysis tools for precise code localization.

05Incremental documentation updates to existing memory files to prevent data loss.

06Symbol-driven evidence gathering for accurate architectural mapping.

Use Cases

01Maintaining up-to-date documentation after major refactoring or API changes.

02Mapping out dependencies and call chains for complex game engine interfaces.

03Generating a structured architectural overview for a newly created code module.

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add hzqst/metamod-fallguys create-serena-memory-for-component

For use in Claude.ai and ChatGPT

Download Skill