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SKILL verified MIT Self-run

Onboard

skill-frabcd-codex-ai-game-studio-onboard · by frabcd

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.

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Install

$ agentstack add skill-frabcd-codex-ai-game-studio-onboard

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • ✓ Prompt-injection patterns
  • ✓ Secret / credential exfiltration
  • ✓ Dangerous shell & filesystem operations
  • ✓ Untrusted network calls
  • ✓ Known-malicious package signatures

What it can access

  • ✓ Network access No
  • ✓ Filesystem access No
  • ✓ Shell / process execution No
  • ✓ Environment & secrets No
  • ✓ Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

View the full security report →

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Reliability & compatibility

✓ Security review passed
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● 1mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

Preview Execution monitoring

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How agent discovery & health will work →
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About

> Port provenance: adapted from the pinned upstream source at 984023ddac0d5e27624f2baacde6105e45de375f under MIT; see the repository parity ledger for the exact path and blob.

Phase 1: Load Project Context

Read AGENTS.md for project overview and standards.

Read the relevant agent definition from .codex/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 AGENTS.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 $ai-game-studio:sprint-status to show the new contributor current progress.
  • Run $ai-game-studio:help if the contributor needs guidance on what to work on next.

Codex portability

Use the search, file-editing, shell, user-input, and subagent capabilities available in the active Codex surface. Use PowerShell syntax on Windows and POSIX syntax on macOS/Linux; do not require a Unix compatibility layer on Windows. Inherit the active model and permission mode, and do not weaken approval or sandbox boundaries.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.