One-click install
npx skills add https://github.com/linenoize/topia --skill onboard-linenoize
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: onboard
Source: https://github.com/linenoize/topia/tree/main/skills/onboard
Command: npx skills add https://github.com/linenoize/topia --skill onboard-linenoize

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill removes the friction of starting work in a new or poorly documented repository by scanning the codebase, capturing conventions, and creating durable project context for future AI sessions.

Core Features & Use Cases

  • Repository Scanning: Detects the tech stack, structure, commands, and representative code patterns without reading every source file.
  • Context Seeding: Creates CLAUDE.md and .topia state files so sessions start with the same project knowledge instead of relearning it.
  • Safety and Discipline: Seeds invariants, gitignore rules, and persistent memory pointers to keep agents aligned across edits and sessions.
  • Use Case: A developer opens an undocumented repo for the first time and uses this Skill to generate the project context needed for confident refactoring, debugging, or feature work.

Quick Start

Use this Skill on a new or stale repository to scan the project and generate the context files that future coding sessions will rely on.

Frequently Asked Questions about onboard

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

FAQPage Schema
How do I generate project context files for an undocumented codebase?

To generate project context for an undocumented codebase, you scan the repository to detect the tech stack and conventions, then automatically create CLAUDE.md and state files to seed persistent memory for future AI sessions.

What is repository onboarding for AI coding agents?

Repository onboarding is the process of performing deterministic codebase reconnaissance to extract structure, commands, and invariants, creating context files that allow AI agents to start work immediately without relearning project knowledge.

How do I bootstrap a stale repository for an AI agent workflow?

You bootstrap a stale repository by scanning for representative code patterns and tech-stack detection, then seeding invariants and gitignore rules into durable context files to align agents across edits and sessions.

Can I use codebase scanning to extract conventions without reading every source file?

Yes, codebase scanning detects conventions, commands, and representative code patterns without reading every source file, capturing the necessary project structure to safely guide future coding sessions.

What is the best way to create persistent memory pointers for coding sessions?

The best way to create persistent memory pointers is to generate context files like CLAUDE.md during the initial repository scan, ensuring sessions start with the same project knowledge instead of relearning it.

Will repository onboarding overwrite my existing human-written documentation?

No, the repository onboarding process creates context files and seeds invariants without overwriting human-written state, ensuring your existing documentation remains safe during codebase reconnaissance.