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Muhammad Usman
Muhammad Usman

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Zero to Codebase Expert: 9 Agent Skills for Onboarding Any Repo with Cursor

#cursor #ai #opensource #productivity

Every time I open an unfamiliar codebase, I end up repeating the same process:

  • Explaining the repository structure to my AI agent
  • Watching it scan large parts of the codebase repeatedly
  • Losing context between sessions
  • Spending tokens rebuilding knowledge that already existed yesterday

AI coding agents are incredibly capable, but they don't automatically retain a project's understanding across conversations.

To solve that problem, I built project-onboarding — an open-source skill suite that creates persistent onboarding documentation and provides a structured workflow for exploring any repository with Cursor.

GitHub logo smusman437 / project-onboarding

Project onboarding toolkit providing essential skills, guidelines, and rules to help contributors get started quickly.

Project Onboarding Skills

Go from zero knowledge to advanced project understanding with minimal tokens per session — persistent state files, bounded slash commands, and an always-on doc-first rule replace full-repo re-scans every chat.
GitHub github.com/smusman437/project-onboarding
skills.sh skills.sh/smusman437/project-onboarding
Skills 9 installable slash commands
Agents Cursor, Codex, GitHub Copilot, Windsurf, Claude Code, and more

Works on any codebase — monorepo, multi-repo, or single-repo — with no prior project knowledge required.

Install all skills (recommended)

Use --skill '*' to install every skill in one command (no picker prompt):

npx skills add smusman437/project-onboarding --skill '*' -y
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Cursor only:

npx skills add smusman437/project-onboarding --skill '*' -y -a cursor
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Global (available in all projects):

npx skills add smusman437/project-onboarding --skill '*' -y -g
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Verify the package before installing:

npx skills add smusman437/project-onboarding --list
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Confirm after install:

npx skills list
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You should see short names: start, audit, continue, learn…

View on GitHub

The Problem

Most AI-assisted development sessions follow a frustrating pattern.

You open a new repository and ask questions. The agent scans files, builds context, and gives useful answers. Then the session ends.

The next day, the process starts over.

Without persistent project knowledge, developers often:

  • Re-scan the same code repeatedly
  • Spend tokens rebuilding context
  • Receive inconsistent answers across sessions
  • Lose track of onboarding progress

The issue isn't that AI models are bad at understanding code.

The issue is that project knowledge isn't being stored in a structured, reusable way.

The Solution

project-onboarding introduces a documentation-first workflow built around persistent state files and focused slash commands.

Instead of asking an AI agent to rediscover the repository every time, you create a lightweight onboarding system that grows with each session.

The package installs 9 Agent Skills through skills.sh and helps maintain a project knowledge base inside your repository.

What You Get

Area Purpose
Repository onboarding Bootstrap project documentation and understanding
Gap analysis Identify missing knowledge and onboarding progress
Incremental learning Explore one area at a time without scanning everything
Documentation maintenance Keep onboarding docs current
Development workflow Analyze tickets, review work, and prepare commits

The result is a repeatable onboarding process that compounds over time.

Why Token Efficiency Matters

One of the biggest hidden costs of AI-assisted development is context rebuilding.

Before

  • Re-explain the repository every session
  • Large codebase scans
  • Repeated architectural discovery
  • Context disappears after each chat

After

  • Read existing onboarding documentation first
  • Focus only on relevant areas
  • Continue from previous progress
  • Reuse accumulated project knowledge

Instead of repeatedly consuming tokens to reconstruct understanding, the agent starts from documentation that already exists.

Install All 9 Skills

Install the complete skill suite with:

npx skills add smusman437/project-onboarding --skill '*' -y
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The --skill '*' flag installs all available skills at once.

Cursor-specific Installation 

npx skills add smusman437/project-onboarding --skill '*' -y -a cursor
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Global Installation 

npx skills add smusman437/project-onboarding --skill '*' -y -g
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Verify Available Skills 

npx skills add smusman437/project-onboarding --list
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Expected output:

Found 9 skills
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You can also confirm installation with:

npx skills list
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Configure a Repository with /start

After installing the skills, open any repository in Cursor and start an Agent chat.

Run:

/start
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This initializes the onboarding system for the repository.

What /start Does

  • Detects repository structure
  • Creates onboarding documentation
  • Generates state files
  • Sets up project knowledge storage
  • Installs a Cursor rule that encourages documentation-first workflows

The goal is simple: give the agent a place to store and retrieve knowledge before analyzing code.

Generated Project Structure

The onboarding process creates a docs/onboarding/ directory containing project state files.

File Purpose
project-memory.md Repository overview, conventions, architecture
progress.md Tracks onboarding progress
onboarding-audit.md Gap analysis and completion tracking
open-questions.md Unresolved discoveries
repositories-overview.md Repository and module index
repos/<slug>/*.md Module-specific documentation

These files become the project's persistent memory layer.

All 9 Slash Commands

Skill Slash Command Purpose
start-onboarding /start Bootstrap onboarding docs
audit-project /audit Measure onboarding completeness
continue-onboarding /continue Explore the next priority area
learn-module /learn Deep-dive into a specific module
update-docs /update-docs Capture new discoveries
quick-reference /quick-ref Find information quickly
ticket-analysis /ticket Analyze work before implementation
review-work /review Review changes before merging
prepare-commits /prepare-commits Organize commits logically

Each command has a focused responsibility, helping keep onboarding predictable and efficient.

A Typical Daily Workflow

Here's an example of how I use the skills while learning a new repository.

/start
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Initialize onboarding documentation.

/audit
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Identify missing knowledge and onboarding gaps.

/continue
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Explore one area of the repository and update progress.

/learn auth
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Perform a deeper investigation of a specific module.

/ticket PROJ-123
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Analyze requirements and affected areas before coding.

After implementation:

/review
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Review changes.

/prepare-commits
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Organize commit groups.

Finally:

/update-docs
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Capture everything learned during the session.

The next day, simply continue where you left off.

No full repository scan required.

Skills.sh Listing

The package is available through skills.sh and can be installed immediately through the CLI.

Install:

npx skills add smusman437/project-onboarding --skill '*' -y
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Package page:

  • skills.sh/smusman437/project-onboarding

Repository:

  • github.com/smusman437/project-onboarding

Related Skill: Prompt Master

If you're building workflows around AI prompts as well as repository onboarding, I also maintain a related package:

smusman437/prompt-master

Install it with:

npx skills add smusman437/prompt-master -y
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It complements project-onboarding by helping organize and reuse prompt workflows across tools.

Try It Today

If you're tired of re-explaining repositories to your AI agent every time you start a new chat, give project-onboarding a try:

npx skills add smusman437/project-onboarding --skill '*' -y
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Then open an unfamiliar repository in Cursor and run:

/start
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The difference between repeatedly rebuilding context and maintaining project knowledge becomes obvious very quickly.

Links

GitHub: https://github.com/smusman437/project-onboarding

skills.sh: https://www.skills.sh/smusman437/project-onboarding

If you try it, I'd love to hear how you're using it in your onboarding workflow.

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