agentleFS
striderZAstriderZA/OpenCodeGameStudios/.agents/skills/onboard/SKILL.md

onboard

Skill93 starsChanged 3 months agoMITView on GitHub

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.

We split this skill into the rules it gives an agent

14 rules. 0 are common, 9 are distinctive, and 5 are very specific to this project.

  • 0

    Common

    Most of the 148 edited versions we read keep these.

  • 9

    Distinctive

    This author's own choices. Worth a look.

  • 5

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read the argument to determine the target role or area.

    line 28
  2. Distinctive:

    If the user provides a role that doesn't match the options above, accept it and proceed.

    line 39
  3. Distinctive:

    Read AGENTS.md for project overview, technology stack, and standards.

    line 43
  4. Very specific:

    If a specific role is specified, read the corresponding agent definition from .agents/agents/[role].md.

    line 45
  5. Very specific:

    Read docs/framework/technical-preferences.md for engine and language configuration.

    line 47
  6. Distinctive:

    Run git log --oneline -20 to understand current momentum

    line 70
  7. Distinctive:

    If git is not available or the repository has no commits, skip this step and note: "No git history available."

    line 73
  8. Very specific:

    Create the production/onboarding/ directory if it does not exist

    line 138
  9. Distinctive:

    Write the file with the date in YYYY-MM-DD format

    line 139
  10. Distinctive:

    Ask: "Would you like me to revise the document, or skip saving it?"

    line 143
  11. Distinctive:

    If revise, ask what to change and regenerate the relevant sections

    line 144
  12. Distinctive:

    If skip, proceed to Phase 5 without writing

    line 145
  13. Very specific:

    No argument provided: Use question to ask for the role (see Phase 1).

    line 168
  14. Distinctive:

    AGENTS.md missing or unreadable: Stop and report the error.

    line 169

“Common” is measured: kept by at least 6 in 10 of the 148 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Overview

This skill generates a contextual onboarding document tailored to a specific role or area. It loads project state, scans relevant directories, and produces a comprehensive guide for new contributors or agents.

When to use /onboard:

  • A new team member (human or agent) is joining the project
  • You need context on a specific area before starting work
  • You want a quick reference for conventions, architecture, and current state

When NOT to use /onboard:

  • You need to audit an existing brownfield project's format compliance → use /adopt
  • You need to detect project stage and missing artifacts → use /project-stage-detect
  • You are the project owner reviewing overall status → use /sprint-status

Phase 1: Parse Arguments and Load Project Context

Read the argument to determine the target role or area. If no argument is provided, use question to ask:

  • Prompt: "No role specified. Who is this onboarding document for?"
  • Options:
    • Programmer — Code architecture, patterns, conventions, current implementation state
    • Designer — Design documents, GDDs, systems, balance data
    • Narrative — Story docs, world-building, lore, character profiles
    • QA — Test coverage, test plans, known bugs, QA conventions
    • Production — Sprint plans, milestones, velocity, blockers
    • Artist — Art bible, asset specs, asset audit results, visual standards

If the user provides a role that doesn't match the options above, accept it and proceed. Map it to the closest category for scanning purposes.

Load project context:

  1. Read AGENTS.md for project overview, technology stack, and standards. If the file does not exist or is empty, stop and report: "Cannot generate onboarding document: AGENTS.md is missing or unreadable. This file is required for project context."
  2. If a specific role is specified, read the corresponding agent definition from .agents/agents/[role].md. If the file does not exist, inform the user: "No agent definition found for [role]. Proceeding with generic onboarding." and continue without role-specific context.
  3. Read docs/framework/technical-preferences.md for engine and language configuration. If the file contains [TO BE CONFIGURED] for the engine, note that the engine is not yet configured in the onboarding document.

Phase 2: Scan Relevant Area

Based on the role or area, scan the appropriate directories. If a directory does not exist or is empty, note it in the onboarding document as "No [area] artifacts found yet."

Scanning rules:

  • Programmers: Scan src/ for source files (*.gd, *.cs, *.cpp, *.h, *.rs, *.py, *.js, *.ts). Identify architecture patterns (folder structure, naming conventions), key modules, and entry points. Check for docs/architecture/ and read ADRs if present.
  • Designers: Scan design/ for GDDs (*.md in design/gdd/), balance data, and system definitions. Count documents and note which systems have GDDs vs. which are missing.
  • Narrative: Scan design/narrative/ for world-building docs, character profiles, story outlines. If the directory does not exist, check design/ for any narrative-related files.
  • QA: Scan tests/ for test files, test plans, and coverage reports. Check production/qa/ for bug reports and triage data. Note test framework and patterns.
  • Production: Scan production/ for sprint plans (production/sprints/), milestones (production/milestones/), session logs, and blockers. Read the most recent sprint plan if it exists.
  • Artists: Scan assets/ for art files, check for art bible in design/art-bible.md, and look for asset specs in design/asset-specs/. Check design/art/ if it exists.

Read recent changes (if git is available):

  • Run git log --oneline -20 to understand current momentum
  • Identify the most active areas and recent focus

If git is not available or the repository has no commits, skip this step and note: "No git history available."


Phase 3: Generate Onboarding Document

Assemble the onboarding document using this structure. Fill each section with information gathered from Phases 1 and 2. If information is missing, state "Not yet defined" or "No artifacts found" rather than leaving the section blank.

# Onboarding: [Role/Area]

## Project Summary
[2-3 sentence summary of what this game is and its current state. Pull from AGENTS.md and design/gdd/game-concept.md if it exists.]

## Your Role
[What this role does on this project, key responsibilities, who you report to. Pull from the agent definition if available.]

## Project Architecture
[Relevant architectural overview for this role. For programmers: describe folder structure, key modules, dependencies. For designers: describe systems and their interactions. For others: describe how their work fits into the pipeline.]

### Key Directories
| Directory | Contents | Your Interaction |
|-----------|----------|-----------------|
| [dir] | [what's in it] | [how this role uses it] |

### Key Files
| File | Purpose | Read Priority |
|------|---------|--------------|
| [file] | [what it does] | [High/Medium/Low] |

## Current Standards and Conventions
[Summary of conventions relevant to this role from AGENTS.md and agent definition. Include coding standards, naming conventions, documentation requirements, test requirements.]

## Current State of Your Area
[What has been built, what is in progress, what is planned next. Pull from scan results and recent git commits.]

## Current Sprint Context
[What the team is working on now and what is expected of this role. Pull from production/sprints/ if available. If no sprint is active, state "No active sprint."]

## Key Dependencies
[What other roles/systems this role interacts with most. For programmers: which systems they modify. For designers: which programmers implement their designs. For QA: which areas need testing.]

## Common Pitfalls
[Things that trip up new contributors in this area. Pull from AGENTS.md coordination rules, coding standards, and any TODO/FIXME comments in scanned files.]

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

1. **Read these documents first**: [list 3-5 key documents]
2. **Review this code/content**: [point to specific files or directories]
3. **Start with this small task**: [suggest a low-risk first task, e.g., "Fix a typo in a GDD" or "Add a unit test for an existing function"]

## Questions to Ask
[Questions the new contributor should ask to get fully oriented. Examples: "What is the definition of done for a story?", "Who reviews my work?", "What is the deploy process?"]

Phase 4: Review and Save Document

Present the onboarding document to the user in full. Do not truncate or summarize — show the complete document.

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

If yes:

  1. Create the production/onboarding/ directory if it does not exist
  2. Write the file with the date in YYYY-MM-DD format
  3. Confirm: "Onboarding document written to [path]."

If no:

  • Ask: "Would you like me to revise the document, or skip saving it?"
  • If revise, ask what to change and regenerate the relevant sections
  • If skip, proceed to Phase 5 without writing

Phase 5: Next Steps

Verdict: COMPLETE — onboarding document generated.

Suggest next steps based on the role:

  • Programmers: "Run /sprint-status to see current work, then /dev-story [story-id] to pick up a task."
  • Designers: "Run /design-system [system-name] to author a new GDD, or /design-review [gdd-path] to review an existing one."
  • QA: "Run /qa-plan to create a test plan, or /smoke-check to run the smoke test suite."
  • Production: "Run /sprint-plan to create or update the current sprint, or /milestone-review to assess progress."
  • Artists: "Run /art-bible to review or create the visual identity spec, or /asset-spec [system] to generate asset specifications."
  • Narrative: "Run /design-system narrative to author narrative GDDs, or review existing docs in design/narrative/."

General: "Run /help if you need guidance on what to work on next."


Edge Cases

  • No argument provided: Use question to ask for the role (see Phase 1).
  • AGENTS.md missing or unreadable: Stop and report the error. Do not proceed without project context.
  • Role not found in .agents/agents/: Proceed with generic onboarding, note the missing agent definition in the document.
  • Engine not configured: Note in the document that the engine is not yet set up and recommend /setup-engine.
  • Empty project (no source files, no design docs, no production artifacts): Generate a minimal onboarding document noting that the project is in early setup phase. Recommend /start to begin the workflow.
  • Git not available or no commits: Skip the git history section, note "No git history available."
  • User provides an unrecognized role: Accept it, map to the closest category for scanning, and note in the document that no agent definition was found.
  • User declines to save the document: Skip the write, proceed to next steps. Do not force the save.
  • Multiple roles specified (e.g., "programmer and QA"): Generate separate onboarding documents for each role, or ask the user to pick one.

Collaborative Protocol

  1. Ask first — never assume the user wants to save the document without asking
  2. Show the full document — do not truncate or summarize before asking to save
  3. Adapt to the role — tailor the scan and document content to the specific role's needs
  4. Handle missing data gracefully — note what's missing rather than leaving sections blank
  5. Suggest actionable next steps — point to specific commands the user can run next

Download now (ZIP)

Does it work?

Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.

No reviews yet

People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.

  • It worked
  • Partly
  • It didn't
What did you use it for? e.g. Reviewing pull requests in a Rails app

Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.

Your trail

Files you open will collect here, so you can find them again.

Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.

Now do this for your own.

Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.