create-control-manifest▌
Donchitos/Claude-Code-Game-Studios · updated Apr 16, 2026
MDX-style export adds YAML metadata + attribution linking explainx.ai and this canonical listing URL.
### Create Control Manifest
- ›name: create-control-manifest
- ›description: "After architecture is complete, produces a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Extracted from all Accepted A
- ›argument-hint: "[update — regenerate from current ADRs]"
| name | create-control-manifest |
| description | "After architecture is complete, produces a flat actionable rules sheet for programmers — what you must do, what you must never do, per system and per layer. Extracted from all Accepted ADRs, technical preferences, and engine reference docs. More immediately actionable than ADRs (which explain why)." |
| argument-hint | "[update — regenerate from current ADRs]" |
| user-invocable | true |
| allowed-tools | Read, Glob, Grep, Write, Task |
| agent | technical-director |
Create Control Manifest
The Control Manifest is a flat, actionable rules sheet for programmers. It answers "what do I do?" and "what must I never do?" — organized by architectural layer, extracted from all Accepted ADRs, technical preferences, and engine reference docs. Where ADRs explain why, the manifest tells you what.
Output: docs/architecture/control-manifest.md
When to run: After /architecture-review passes and ADRs are in Accepted
status. Re-run whenever new ADRs are accepted or existing ADRs are revised.
1. Load All Inputs
ADRs
- Glob
docs/architecture/adr-*.mdand read every file - Filter to only Accepted ADRs (Status: Accepted) — skip Proposed, Deprecated, Superseded
- Note the ADR number and title for every rule sourced
Technical Preferences
- Read
.claude/docs/technical-preferences.md - Extract: naming conventions, performance budgets, approved libraries/addons, forbidden patterns
Engine Reference
- Read
docs/engine-reference/[engine]/VERSION.mdfor engine + version - Read
docs/engine-reference/[engine]/deprecated-apis.md— these become forbidden API entries - Read
docs/engine-reference/[engine]/current-best-practices.mdif it exists
Report: "Loaded [N] Accepted ADRs, engine: [name + version]."
2. Extract Rules from Each ADR
For each Accepted ADR, extract:
Required Patterns (from "Implementation Guidelines" section)
- Every "must", "should", "required to", "always" statement
- Every specific pattern or approach mandated
Forbidden Approaches (from "Alternatives Considered" sections)
- Every alternative that was explicitly rejected — why it was rejected becomes the rule ("never use X because Y")
- Any anti-patterns explicitly called out
Performance Guardrails (from "Performance Implications" section)
- Budget constraints: "max N ms per frame for this system"
- Memory limits: "this system must not exceed N MB"
Engine API Constraints (from "Engine Compatibility" section)
- Post-cutoff APIs that require verification
- Verified behaviours that differ from default LLM assumptions
- API fields or methods that behave differently in the pinned engine version
Layer Classification
Classify each rule by the architectural layer of the system it governs:
- Foundation: Scene management, event architecture, save/load, engine init
- Core: Core gameplay loops, main player systems, physics/collision
- Feature: Secondary systems, secondary mechanics, AI
- Presentation: Rendering, audio, UI, VFX, shaders
If an ADR spans multiple layers, duplicate the rule into each relevant layer.
3. Add Global Rules
Combine rules that apply to all layers:
From technical-preferences.md:
- Naming conventions (classes, variables, signals/events, files, constants)
- Performance budgets (target framerate, frame budget, draw call limits, memory ceiling)
From deprecated-apis.md:
- All deprecated APIs → Forbidden API entries
From current-best-practices.md (if available):
- Engine-recommended patterns → Required entries
From technical-preferences.md forbidden patterns:
- Copy any "Forbidden Patterns" entries directly
4. Present Rules Summary Before Writing
Before writing the manifest, present a summary to the user:
## Control Manifest Preview
Engine: [name + version]
ADRs covered: [list ADR numbers]
Total rules extracted:
- Foundation layer: [N] required, [M] forbidden, [P] guardrails
- Core layer: [N] required, [M] forbidden, [P] guardrails
- Feature layer: ...
- Presentation layer: ...
- Global: [N] naming conventions, [M] forbidden APIs, [P] approved libraries
Ask: "Does this look complete? Any rules to add or remove before I write the manifest?"
4b. Director Gate — Technical Review
Review mode check — apply before spawning TD-MANIFEST:
solo→ skip. Note: "TD-MANIFEST skipped — Solo mode." Proceed to Phase 5.lean→ skip. Note: "TD-MANIFEST skipped — Lean mode." Proceed to Phase 5.full→ spawn as normal.
Spawn technical-director via Task using gate TD-MANIFEST (.claude/docs/director-gates.md).
Pass: the Control Manifest Preview from Phase 4 (rule counts per layer, full extracted rule list), the list of ADRs covered, engine version, and any rules sourced from technical-preferences.md or engine reference docs.
The technical-director reviews whether:
- All mandatory ADR patterns are captured and accurately stated
- Forbidden approaches are complete and correctly attributed
- No rules were added that lack a source ADR or preference document
- Performance guardrails are consistent with the ADR constraints
Apply the verdict:
- APPROVE → proceed to Phase 5
- CONCERNS → surface via
AskUserQuestionwith options:Revise flagged rules/Accept and proceed/Discuss further - REJECT → do not write the manifest; fix the flagged rules and re-present the summary
5. Write the Control Manifest
Ask: "May I write this to docs/architecture/control-manifest.md?"
Format:
# Control Manifest
> **Engine**: [name + version]
> **Last Updated**: [date]
> **Manifest Version**: [date]
> **ADRs Covered**: [ADR-NNNN, ADR-MMMM, ...]
> **Status**: [Active — regenerate with `/create-control-manifest update` when ADRs change]
`Manifest Version` is the date this manifest was generated. Story files embed
this date when created. `/story-readiness` compares a story's embedded version
to this field to detect stories written against stale rules. Always matches
`Last Updated` — they are the same date, serving different consumers.
This manifest is a programmer's quick-reference extracted from all Accepted ADRs,
technical preferences, and engine reference docs. For the reasoning behind each
rule, see the referenced ADR.
---
## Foundation Layer Rules
*Applies to: scene management, event architecture, save/load, engine initialisation*
### Required Patterns
- **[rule]** — source: [ADR-NNNN]
- **[rule]** — source: [ADR-NNNN]
### Forbidden Approaches
- **Never [anti-pattern]** — [brief reason] — source: [ADR-NNNN]
### Performance Guardrails
- **[system]**: max [N]ms/frame — source: [ADR-NNNN]
---
## Core Layer Rules
*Applies to: core gameplay loop, main player systems, physics, collision*
### Required Patterns
...
### Forbidden Approaches
...
### Performance Guardrails
...
---
## Feature Layer Rules
*Applies to: secondary mechanics, AI systems, secondary features*
### Required Patterns
...
### Forbidden Approaches
...
---
## Presentation Layer Rules
*Applies to: rendering, audio, UI, VFX, shaders, animations*
### Required Patterns
...
### Forbidden Approaches
...
---
## Global Rules (All Layers)
### Naming Conventions
| Element | Convention | Example |
|---------|-----------|---------|
| Classes | [from technical-preferences] | [example] |
| Variables | [from technical-preferences] | [example] |
| Signals/Events | [from technical-preferences] | [example] |
| Files | [from technical-preferences] | [example] |
| Constants | [from technical-preferences] | [example] |
### Performance Budgets
| Target | Value |
|--------|-------|
| Framerate | [from technical-preferences] |
| Frame budget | [from technical-preferences] |
| Draw calls | [from technical-preferences] |
| Memory ceiling | [from technical-preferences] |
### Approved Libraries / Addons
- [library] — approved for [purpose]
### Forbidden APIs ([engine version])
These APIs are deprecated or unverified for [engine + version]:
- `[api name]` — deprecated since [version] / unverified post-cutoff
- Source: `docs/engine-reference/[engine]/deprecated-apis.md`
### Cross-Cutting Constraints
- [constraint that applies everywhere, regardless of layer]
6. Suggest Next Steps
After writing the manifest:
- If epics/stories don't exist yet: "Run
/create-epics layer: foundationthen/create-stories [epic-slug]— programmers can now use this manifest when writing story implementation notes." - If this is a regeneration (manifest already existed): "Updated. Recommend notifying the team of changed rules — especially any new Forbidden entries."
Collaborative Protocol
- Load silently — read all inputs before presenting anything
- Show the summary first — let the user see the scope before writing
- Ask before writing — always confirm before creating or overwriting the manifest. On write: Verdict: COMPLETE — control manifest written. On decline: Verdict: BLOCKED — user declined write.
- Source every rule — never add a rule that doesn't trace to an ADR, a technical preference, or an engine reference doc
- No interpretation — extract rules as stated in ADRs; do not paraphrase in ways that change meaning
How to use create-control-manifest 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 create-control-manifest
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches create-control-manifest 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 create-control-manifest. Access the skill through slash commands (e.g., /create-control-manifest) 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
4.7★★★★★42 reviews- ★★★★★Nia Farah· Dec 24, 2024
create-control-manifest has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Anika Martin· Dec 24, 2024
create-control-manifest reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Omar Thompson· Dec 20, 2024
Keeps context tight: create-control-manifest is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Ganesh Mohane· Dec 8, 2024
We added create-control-manifest from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Shikha Mishra· Dec 8, 2024
I recommend create-control-manifest for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Lucas Sanchez· Dec 4, 2024
Solid pick for teams standardizing on skills: create-control-manifest is focused, and the summary matches what you get after install.
- ★★★★★Sakshi Patil· Nov 27, 2024
create-control-manifest fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Emma Kapoor· Nov 23, 2024
Registry listing for create-control-manifest matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Omar Martin· Nov 15, 2024
Useful defaults in create-control-manifest — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Lucas Perez· Nov 11, 2024
create-control-manifest is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
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