reverse-document▌
Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026
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### Reverse Document
- ›name: reverse-document
- ›description: "Generate design or architecture documents from existing implementation. Works backwards from code/prototypes to create missing planning docs."
- ›argument-hint: "<type> <path> (e.g., 'design src/gameplay/combat' or 'architecture src/core')"
| name | reverse-document |
| description | "Generate design or architecture documents from existing implementation. Works backwards from code/prototypes to create missing planning docs." |
| argument-hint | "<type> <path> (e.g., 'design src/gameplay/combat' or 'architecture src/core')" |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Write, Edit, Bash # Read-only diagnostic skill — no specialist agent delegation needed |
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 codesrc/core/event-system.cpp→ Specific fileprototypes/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:
| Type | Template | Output Path |
|---|---|---|
design | templates/design-doc-from-implementation.md | design/gdd/[system-name].md |
architecture | templates/architecture-doc-from-code.md | docs/architecture/[decision-name].md |
concept | templates/concept-doc-from-prototype.md | prototypes/[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.md | Gameplay mechanics → GDD |
src/core/*, src/ai/* | architecture-doc-from-code.md | Core systems → ADR |
prototypes/* | concept-doc-from-prototype.md | Experiments → concept doc |
src/networking/* | architecture-doc-from-code.md | Technical systems → ADR |
src/ui/* | design-doc-from-implementation.md | UI/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:
- Analyze First: Read code, understand implementation
- Question Intent: Ask about "why", not just "what"
- Present Findings: Show discoveries, highlight unclear areas
- User Clarifies: Separate intent from accidents
- Draft Document: Create doc based on reality + intent
- Show Draft: Display key sections, explain additions
- Get Approval: "May I write to [filepath]?" On approval: Verdict: COMPLETE — document generated. On decline: Verdict: BLOCKED — user declined write.
- Flag Follow-Up: Suggest related work, don't auto-execute
Never assume intent. Always ask before documenting "why".
How to use reverse-document on Cursor
AI-first code editor with Composer
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 reverse-document
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches reverse-document from GitHub repository Donchitos/Claude-Code-Game-Studios and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate reverse-document. Access the skill through slash commands (e.g., /reverse-document) 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
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.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 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▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★30 reviews- ★★★★★Liam Torres· Dec 20, 2024
We added reverse-document from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chaitanya Patil· Dec 16, 2024
reverse-document fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Hana Gill· Dec 8, 2024
reverse-document fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Tariq Kapoor· Nov 27, 2024
reverse-document is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Valentina Martinez· Nov 11, 2024
Keeps context tight: reverse-document is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Piyush G· Nov 7, 2024
reverse-document is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Shikha Mishra· Oct 26, 2024
Keeps context tight: reverse-document is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Hana Johnson· Oct 18, 2024
Keeps context tight: reverse-document is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Liam Reddy· Oct 2, 2024
reverse-document is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Chinedu Ndlovu· Sep 13, 2024
Solid pick for teams standardizing on skills: reverse-document is focused, and the summary matches what you get after install.
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