Project Stage Detect

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

Project Stage Detection

This skill scans your project to determine its current development stage, completeness of artifacts, and gaps that need attention. It's especially useful when:

• Starting with an existing project
• Onboarding to a codebase
• Checking what's missing before a milestone
• Understanding "where are we?"

---

Workflow

1. Scan Key Directories

Analyze project structure and content:

Design Documentation (design/):

• Count GDD files in design/gdd/*.md
• Check for game-concept.md, game-pillars.md, systems-index.md
• If systems-index.md exists, count total systems vs. designed systems
• Analyze completeness (Overview, Detailed Design, Edge Cases, etc.)
• Count narrative docs in design/narrative/
• Count level designs in design/levels/

Source Code (src/):

• Count source files (language-agnostic)
• Identify major systems (directories with 5+ files)
• Check for core/, gameplay/, ai/, networking/, ui/ directories
• Estimate lines of code (rough scale)

Production Artifacts (production/):

• Check for active sprint plans
• Look for milestone definitions
• Find roadmap documents

Prototypes (prototypes/):

• Count prototype directories
• Check for READMEs (documented vs undocumented)
• Assess if prototypes are archived or active

Architecture Docs (docs/architecture/):

• Count ADRs (Architecture Decision Records)
• Check for overview/index documents

Tests (tests/):

• Count test files
• Estimate test coverage (rough heuristic)

2. Classify Project Stage

Based on scanned artifacts, determine stage. Check production/stage.txt first — if it exists, use its value (explicit override from $ai-game-studio:gate-check). Otherwise, auto-detect using these heuristics (check from most-advanced backward):

| Stage | Indicators | |-------|-----------| | Concept | No game concept doc, brainstorming phase | | Systems Design | Game concept exists, systems index missing or incomplete | | Technical Setup | Systems index exists, engine not configured | | Pre-Production | Engine configured, src/ has <10 source files | | Production | src/ has 10+ source files, active development | | Polish | Explicit only (set by $ai-game-studio:gate-check Production → Polish gate) | | Release | Explicit only (set by $ai-game-studio:gate-check Polish → Release gate) |

3. Collaborative Gap Identification

DO NOT just list missing files. Instead, ask clarifying questions:

• "I see combat code (src/gameplay/combat/) but no design/gdd/combat-system.md. Was this prototyped first, or should we reverse-document?"
• "You have 15 ADRs but no architecture overview. Should I create one to help new contributors?"
• "No sprint plans in production/. Are you tracking work elsewhere (Jira, Trello, etc.)?"
• "I found a game concept but no systems index. Have you decomposed the concept into individual systems yet, or should we run $ai-game-studio:map-systems?"
• "Prototypes directory has 3 projects with no READMEs. Were these experiments, or do they need documentation?"

4. Generate Stage Report

Use template: .ai-game-studio/templates/project-stage-report.md

Report structure:

# Project Stage Analysis

**Date**: [date]
**Stage**: [Concept/Systems Design/Technical Setup/Pre-Production/Production/Polish/Release]
**Stage Confidence**: [PASS — clearly detected / CONCERNS — ambiguous signals / FAIL — critical gaps block progress]

## Completeness Overview
- Design: [X%] ([N] docs, [gaps])
- Code: [X%] ([N] files, [systems])
- Architecture: [X%] ([N] ADRs, [gaps])
- Production: [X%] ([status])
- Tests: [X%] ([coverage estimate])

## Gaps Identified
1. [Gap description + clarifying question]
2. [Gap description + clarifying question]

## Recommended Next Steps
[Priority-ordered list based on stage and role]

5. Role-Filtered Recommendations (Optional)

If user provided a role argument (e.g., $ai-game-studio:project-stage-detect programmer):

Programmer:

• Focus on architecture docs, test coverage, missing ADRs
• Code-to-docs gaps

Designer:

• Focus on GDD completeness, missing design sections
• Prototype documentation

Producer:

• Focus on sprint plans, milestone tracking, roadmap
• Cross-team coordination docs

General (no role):

• Holistic view of all gaps
• Highest-priority items across domains

6. Request Approval Before Writing

Collaborative protocol:

I've analyzed your project. Here's what I found:

[Show summary]

Gaps identified:
1. [Gap 1 + question]
2. [Gap 2 + question]

Recommended next steps:
- [Priority 1]
- [Priority 2]
- [Priority 3]

May I write the full stage analysis to production/project-stage-report.md?

Wait for user approval before creating the file.

---

Example Usage

# General project analysis
$ai-game-studio:project-stage-detect

# Programmer-focused analysis
$ai-game-studio:project-stage-detect programmer

# Designer-focused analysis
$ai-game-studio:project-stage-detect designer

---

Follow-Up Actions

After generating the report, suggest relevant next steps:

• Concept exists but no systems index? → $ai-game-studio:map-systems to decompose into systems
• Missing design docs? → $ai-game-studio:reverse-document design src/[system]
• Missing architecture docs? → $ai-game-studio:architecture-decision or $ai-game-studio:reverse-document architecture
• Prototypes need documentation? → $ai-game-studio:reverse-document concept prototypes/[name]
• No sprint plan? → $ai-game-studio:sprint-plan
• Approaching milestone? → $ai-game-studio:milestone-review

---

Collaborative Protocol

This skill follows the collaborative design principle:

1. Question First: Ask about gaps, don't assume
2. Present Options: "Should I create X, or is it tracked elsewhere?"
3. User Decides: Wait for direction
4. Show Draft: Display report summary
5. Get Approval: "May I write to production/project-stage-report.md?"

Never silently write files. Always show findings and ask before creating artifacts.

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.

• Author: frabcd
• Source: frabcd/codex-ai-game-studio
• License: MIT
• Homepage: https://frabcd.github.io/codex-ai-game-studio/

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