learn-codebase

Read every source file to build a persistent codebase model.

Updated Jun 2, 2026

Search Tags:#onboarding #codebase #learn #code-reading #source-files #project-prime

Ready to run

npx skills add https://github.com/chicago-joe/manymems --skill learn-codebase-chicago-joe

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: learn-codebase
Source: https://github.com/chicago-joe/manymems/tree/main/plugin/skills/learn-codebase
Command: npx skills add https://github.com/chicago-joe/manymems --skill learn-codebase-chicago-joe

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Joining a new project or starting work on unfamiliar code can be slow and error-prone when knowledge is fragmented. This skill solves that by systematically reading every source file in full to build a comprehensive mental model of the codebase, ensuring a thorough understanding of architecture, conventions, and dependencies.

Core Features & Use Cases

File-by-file codebase ingestion: reads all source files to create a complete mental map of structure and relationships.
Large-repo handling: supports paging through large files using offset and limit to avoid memory and cost issues.
Use cases: onboarding new engineers, ramping up quickly during triage, and ensuring consistent context across multi-person teams.

Quick Start

Read every source file in the repository and summarize the architecture.

Frequently Asked Questions about learn-codebase

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

FAQPage Schema

How do I learn an unfamiliar codebase quickly when onboarding to a new project?▼

Priming a codebase reads every source file in full to build a comprehensive mental model of architecture and dependencies. It systematically traverses all files, storing a persistent understanding to accelerate onboarding and triage.

What is the best way to read large source files when parsing a whole project?▼

The best way to read large source files is by paginating them using offset and limit parameters. This approach avoids memory and cost issues while traversing large repositories, ensuring every file is fully ingested without exceeding resource limits.

How does codebase priming help with multi-person team onboarding?▼

Codebase priming helps multi-person team onboarding by storing a persistent understanding of the project's structure and relationships. This ensures consistent context across engineers, reducing fragmented knowledge and errors when ramping up.

Can I get up to speed on a new codebase without manually reading every file?▼

You can get up to speed by asking the system to prime the codebase. It automatically traverses all source files, paginating large files with offset and limit when needed, to build and store a persistent mental model of the project.

When should I use codebase priming instead of targeted file searches?▼

You should use codebase priming when starting work on a new or unfamiliar project where fragmented knowledge causes errors. If you need a comprehensive mental model of all source files rather than isolated snippets, priming ensures complete architectural context.