onboard

Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026

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$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill onboard
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summary

### Onboard

  • description: "Generates a contextual onboarding document for a new contributor or agent joining the project. Summarizes project state, architecture, conventions, and current priorities relevant to the
  • argument-hint: "[role|area]"
  • allowed-tools: Read, Glob, Grep, Write
skill.md
name
onboard
description
"Generates a contextual onboarding document for a new contributor or agent joining the project. Summarizes project state, architecture, conventions, and current priorities relevant to the specified role or area."
argument-hint
"[role|area]"
user-invocable
true
allowed-tools
Read, Glob, Grep, Write
model
haiku

Phase 1: Load Project Context

Read CLAUDE.md for project overview and standards.

Read the relevant agent definition from .claude/agents/ if a specific role is specified.


Phase 2: Scan Relevant Area

  • For programmers: scan src/ for architecture, patterns, key files
  • For designers: scan design/ for existing design documents
  • For narrative: scan design/narrative/ for world-building and story docs
  • For QA: scan tests/ for existing test coverage
  • For production: scan production/ for current sprint and milestone

Read recent changes (git log if available) to understand current momentum.


Phase 3: Generate Onboarding Document

# Onboarding: [Role/Area]

## Project Summary
[2-3 sentence summary of what this game is and its current state]

## Your Role
[What this role does on this project, key responsibilities, who you report to]

## Project Architecture
[Relevant architectural overview for this role]

### Key Directories
| Directory | Contents | Your Interaction |
|-----------|----------|-----------------|

### Key Files
| File | Purpose | Read Priority |
|------|---------|--------------|

## Current Standards and Conventions
[Summary of conventions relevant to this role from CLAUDE.md and agent definition]

## Current State of Your Area
[What has been built, what is in progress, what is planned next]

## Current Sprint Context
[What the team is working on now and what is expected of this role]

## Key Dependencies
[What other roles/systems this role interacts with most]

## Common Pitfalls
[Things that trip up new contributors in this area]

## First Tasks
[Suggested first tasks to get oriented and productive]

1. [Read these documents first]
2. [Review this code/content]
3. [Start with this small task]

## Questions to Ask
[Questions the new contributor should ask to get fully oriented]

Phase 4: Save Document

Present the onboarding document to the user.

Ask: "May I write this to production/onboarding/onboard-[role]-[date].md?"

If yes, write the file, creating the directory if needed.


Phase 5: Next Steps

Verdict: COMPLETE — onboarding document generated.

  • Share the onboarding doc with the new contributor before their first session.
  • Run /sprint-status to show the new contributor current progress.
  • Run /help if the contributor needs guidance on what to work on next.
how to use onboard

How to use onboard on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add onboard
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/Donchitos/Claude-Code-Game-Studios --skill onboard

The skills CLI fetches onboard from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/onboard

Reload or restart Cursor to activate onboard. Access the skill through slash commands (e.g., /onboard) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.572 reviews
  • Kofi Dixit· Dec 28, 2024

    Solid pick for teams standardizing on skills: onboard is focused, and the summary matches what you get after install.

  • Shikha Mishra· Dec 24, 2024

    onboard reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Aditi Wang· Dec 20, 2024

    onboard has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aarav Zhang· Dec 16, 2024

    onboard fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aarav Verma· Dec 8, 2024

    onboard reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Amina Sethi· Dec 4, 2024

    onboard has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Aarav Thomas· Nov 27, 2024

    I recommend onboard for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Naina Kim· Nov 23, 2024

    onboard fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Aarav Liu· Nov 19, 2024

    We added onboard from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Aarav Abbas· Nov 19, 2024

    Keeps context tight: onboard is the kind of skill you can hand to a new teammate without a long onboarding doc.

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