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Skill IdoCohen560/claude-unity-game-studio/game-studios-template/.claude/skills/reverse-document

Generate design or architecture documents from existing implementation. Works backwards from code/prototypes to create missing planning docs.From its SKILL.md

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npx -y skills add IdoCohen560/claude-unity-game-studio --skill reverse-document

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SKILL.md

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Reverse Documentation

This skill analyzes existing implementation (code, prototypes, systems) and generates appropriate design or architecture documentation. Use this when:

  • You built a feature without writing a design doc first
  • You inherited a codebase without documentation
  • You prototyped a mechanic and need to formalize it
  • You need to document "why" behind existing code

Workflow

Phase 1: Parse Arguments

Format: /reverse-document <type> <path>

Type options:

  • design → Generate a game design document (GDD section)
  • architecture → Generate an Architecture Decision Record (ADR)
  • concept → Generate a concept document from prototype

Path: Directory or file to analyze

  • src/gameplay/combat/ → All combat-related code
  • src/core/event-system.cpp → Specific file
  • prototypes/stealth-mech/ → Prototype directory

Examples:

/reverse-document design src/gameplay/magic-system
/reverse-document architecture src/core/entity-component
/reverse-document concept prototypes/vehicle-combat

Phase 2: Analyze Implementation

Read and understand the code/prototype:

For design docs (GDD):

  • Identify mechanics, rules, formulas
  • Extract gameplay values (damage, cooldowns, ranges)
  • Find state machines, ability systems, progression
  • Detect edge cases handled in code
  • Map dependencies (what systems interact?)

For architecture docs (ADR):

  • Identify patterns (ECS, singleton, observer, etc.)
  • Understand technical decisions (threading, serialization, etc.)
  • Map dependencies and coupling
  • Assess performance characteristics
  • Find constraints and trade-offs

For concept docs (prototype analysis):

  • Identify core mechanic
  • Extract emergent gameplay patterns
  • Note what worked vs what didn't
  • Find technical feasibility insights
  • Document player fantasy / feel

Phase 3: Ask Clarifying Questions

DO NOT just describe the code. ASK about intent:

Design questions:

  • "I see a [resource] system that depletes during [activity]. Was this for:
    • Pacing (prevent spam)?
    • Resource management (strategic depth)?
    • Or something else?"
  • "The [mechanic] seems central. Is this a core pillar, or supporting feature?"
  • "[Value] scales exponentially with [factor]. Intentional design, or needs rebalancing?"

Architecture questions:

  • "You're using a service locator pattern. Was this chosen for:
    • Testability (mock dependencies)?
    • Decoupling (reduce hard references)?
    • Or inherited from existing code?"
  • "I see manual memory management instead of smart pointers. Performance requirement, or legacy?"

Concept questions:

  • "The prototype emphasizes stealth over combat. Is that the intended pillar?"
  • "Players seem to exploit the grappling hook for speed. Feature or bug?"

Phase 4: Present Findings

Before drafting, show what you discovered:

I've analyzed [path]/. Here's what I found:

MECHANICS IMPLEMENTED:
- [mechanic-a] with [property] (e.g. timing windows, cooldowns)
- [mechanic-b] (e.g. interaction between two states)
- [resource] system (depletes on [action], regens on [condition])
- [state] system (builds up, triggers [effect])

FORMULAS DISCOVERED:
- [Output] = [formula using discovered variables]
- [Secondary output] = [formula]

UNCLEAR INTENT AREAS:
1. [Resource] system — pacing or resource management?
2. [Mechanic] — core pillar or supporting feature?
3. [Value] scaling — intentional design or needs tuning?

Before I draft the design doc, could you clarify these points?

Wait for user to clarify intent before drafting.

Phase 5: Draft Document Using Template

Based on type, use appropriate template:

TypeTemplateOutput Path
designtemplates/design-doc-from-implementation.mddesign/gdd/[system-name].md
architecturetemplates/architecture-doc-from-code.mddocs/architecture/[decision-name].md
concepttemplates/concept-doc-from-prototype.mdprototypes/[name]/CONCEPT.md or design/concepts/[name].md

Draft structure:

  • Capture what exists (mechanics, patterns, implementation)
  • Document why it exists (intent clarified with user)
  • Identify what's missing (edge cases not handled, gaps in design)
  • Flag follow-up work (balance tuning, missing features)

Phase 6: Show Draft and Request Approval

Collaborative protocol:

I've drafted the [system-name] design doc based on your code and clarifications.

[Show key sections: Overview, Mechanics, Formulas, Design Intent]

ADDITIONS I MADE:
- Documented [mechanic] as "[intent]" per your clarification
- Added edge cases not in code (e.g., what if [resource] hits 0 mid-[action]?)
- Flagged balance concern: [scaling type] scaling at [boundary condition]

SECTIONS MARKED AS INCOMPLETE:
- "[System] interaction with [other-system]" (not fully implemented yet)
- "[Variant or feature]" (only [subset] implemented so far)

May I write this to design/gdd/[system-name].md?

Wait for approval. User may request changes before writing.

Phase 7: Write Document with Metadata

When approved, write the file with special markers:

---
status: reverse-documented
source: [path/]
date: [today]
verified-by: [User name]
---

# [System Name] Design

> **Note**: This document was reverse-engineered from the existing implementation.
> It captures current behavior and clarified design intent. Some sections may be
> incomplete where implementation is partial or intent was unclear.

[Rest of document...]

Phase 8: Flag Follow-Up Work

After writing, suggest next steps:

✅ Written to design/gdd/combat-system.md

FOLLOW-UP RECOMMENDED:
1. Run /balance-check on combat formulas (exponential scaling concern)
2. Create ADR for stamina system architecture decision
3. Implement missing edge cases:
   - Stamina depletion mid-combo behavior
   - Stagger state during dodge
4. Extend design doc when weapon variety is implemented

Would you like me to tackle any of these now?

Template Selection Logic

If analyzing...Use template...Because...
src/gameplay/*design-doc-from-implementation.mdGameplay mechanics → GDD
src/core/*, src/ai/*architecture-doc-from-code.mdCore systems → ADR
prototypes/*concept-doc-from-prototype.mdExperiments → concept doc
src/networking/*architecture-doc-from-code.mdTechnical systems → ADR
src/ui/*design-doc-from-implementation.mdUI/UX → design spec

Example Session: Reverse-Document a System

User: /reverse-document design src/gameplay/[system]

Agent: I'll analyze your [system] implementation to create a design doc.
       [Reads code, discovers mechanics, formulas]

Agent: I've analyzed src/gameplay/[system]/. Here's what I found:
       [Shows mechanics, formulas, unclear areas]

       Before drafting, could you clarify:
       1. [Resource] system intent?
       2. Is [mechanic] a core pillar?
       3. [Value] scaling — intentional or needs tuning?

User: 1. [Resource] is for pacing, prevent [unwanted behavior]
      2. [Mechanic] is core — I want [design intent]
      3. Yeah, exponential is too much, should be linear

Agent: Perfect, that clarifies the vision. Let me draft the design doc.
       [Shows draft with clarified intent]

       May I write this to design/gdd/[system-name].md?

User: Yes, write it.

Agent: ✅ Written to design/gdd/[system-name].md
       ✅ Marked as [REVERSE-DOCUMENTED]
       ✅ Flagged [value] scaling for rebalancing

       Next steps:
       - Update [formula] to [corrected scaling]
       - Run /balance-check to validate [curve]
       - Document [mechanic] as core pillar in game-pillars.md

Collaborative Protocol

This skill follows the collaborative design principle:

  1. Analyze First: Read code, understand implementation
  2. Question Intent: Ask about "why", not just "what"
  3. Present Findings: Show discoveries, highlight unclear areas
  4. User Clarifies: Separate intent from accidents
  5. Draft Document: Create doc based on reality + intent
  6. Show Draft: Display key sections, explain additions
  7. Get Approval: "May I write to [filepath]?" On approval: Verdict: COMPLETE — document generated. On decline: Verdict: BLOCKED — user declined write.
  8. Flag Follow-Up: Suggest related work, don't auto-execute

Never assume intent. Always ask before documenting "why".

What ships with it

Read from the repository

Just SKILL.md. No reference files, no scripts.

Gives 0 of the 12 instructions most docs writing skills give in ~2.0k tokens

Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-07

  • Announce the skill at startin 54 of 1637, across 26 files
  • Convert legacy doc files before editingin 45 of 1637, across 7 files
  • Predict questions readers might askin 42 of 1637, across 4 files
  • Generate clarifying questions for initial contextin 42 of 1637, across 3 files
  • Create document scaffold with placeholder textin 42 of 1637, across 3 files
  • Brainstorm content options for each sectionin 42 of 1637, across 3 files
  • Test the document with a fresh context-less instancein 42 of 1637, across 3 files
  • Include exact file paths in every taskin 42 of 1637, across 15 files
  • Ask interview questions one at a timein 42 of 1637, across 27 files
  • Apply surgical edits during refinementin 41 of 1637, across 2 files
  • Offer structured workflow or freeformin 40 of 1637, across 1 file
  • Ask for document meta-contextin 40 of 1637, across 2 files

Said here and by no other author read

  • wait for user to clarify intent before drafting
  • write the document with metadata on approval
  • flag follow-up work after writing
  • never assume intent

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.

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