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Grok+17 agentsAI App Factory™ — Build, Break, Repair & Verify
Turn software ideas into structured, tested, and production-oriented applications with an AI-native product engineering workflow.
$5
AI App Factory™ — Build, Break, Repair & Verify
Example session with this skill installed
Build a simple React task manager. I need a spec, architecture, and implementation. Run tests on the core logic and give me a verification report.
- Read your context and instructions
- Compiled the ai app factory
- Generated the document
I have completed the discovery, specification, and architecture phases for the Task Manager. The implementation focuses on state-driven task persistence with a break-and-repair cycle applied to the reducer logic.
Task Manager Production Audit
| Component | Status | Evidence |
|---|---|---|
| Task CRUD Logic | VERIFIED | Unit tests passed for Add/Toggle/Delete actions. |
| Local Storage Sync | IMPLEMENTED | Logic added; persistence confirmed in runtime. |
| State Consistency | TESTED | Verified that duplicate IDs are handled via UUID generation. |
| Empty States | VERIFIED | UI correctly renders placeholder when task list is empty. |
| Auth Boundary | UNVERIFIED | No authentication requested for this version. |
Technical Implementation
// Core Task Reducer with validation
export type Task = { id: string; text: string; completed: boolean };
export const taskReducer = (state: Task[], action: any): Task[] => {
switch (action.type) {
case 'ADD_TASK':
if (!action.payload.text.trim()) return state; // Break-tested: prevents empty tasks
return [...state, { id: crypto.randomUUID(), text: action.payload.text, completed: false }];
case 'TOGGLE_TASK':
return state.map(t => t.id === action.payload ? { ...t, completed: !t.completed } : t);
default:
return state;
}
};
Next steps
- Review the implemented reducer logic in
src/store/taskReducer.ts. - Approve the integration of
localStoragefor cross-session persistence. - Define authentication requirements if this needs multi-user support.
ai-app-factory-build-break-repair-verify.pdf
PDF · document
Example file from a real run - the skill writes it into your workspace.
Connects securely to your tools. The creator never sees your data.
What you get
About this skill
AI App Factory™ is an AI-native product engineering system for turning software ideas, prototypes, or existing applications into structured, tested, and production-oriented products.
Instead of treating AI as a code generator, it provides a repeatable expert workflow:
DISCOVER → SPECIFY → ARCHITECT → DESIGN → MODEL → PLAN → BUILD → INTEGRATE → SECURE → BREAK → DIAGNOSE → REPAIR → REGRESS → VERIFY → HANDOFF
Its defining mechanism is Build → Break → Repair → Verify™.
The Skill helps transform an initial product idea into requirements, architecture, UX structure, data models, implementation plans, application code, integrations, security controls, failure tests, repairs, regression checks, and evidence-based verification.
It is designed around a critical principle:
Generated ≠ Tested ≠ Verified ≠ Production-ready.
AI App Factory explicitly distinguishes what is known, inferred, assumed, implemented, tested, verified, unverified, and blocked. It does not claim that code was executed, tested, deployed, or integrated when the available environment cannot prove it.
Core Capabilities
- Product and requirements discovery
- Requirements and acceptance criteria
- Application architecture
- UX and design-system planning
- Data and domain modeling
- Implementation planning
- AI-assisted application development
- Integration planning
- Authentication and authorization review
- Security and permission analysis
- Controlled failure testing
- Failure diagnosis
- Repair planning and implementation
- Regression verification
- Production-readiness assessment
- Evidence-based handoff
Security by Design
The Skill follows least-privilege principles. It does not require unrelated credentials, unrestricted filesystem access, undisclosed network access, or automatic consequential actions.
External services are project-specific and optional. Deployment, publication, production changes, financial transactions, account modifications, and other consequential actions require appropriate authorization and available host capabilities.
Who It Is For
AI App Factory is designed for:
- Founders and entrepreneurs
- Product designers
- Developers
- Indie hackers
- Agencies
- Technical product teams
- Teams building applications with AI coding agents
- Anyone who wants to move beyond one-shot AI code generation
Use it when you want to build, architect, improve, audit, test, repair, or productionize an application.
AI App Factory is not a promise that every application will automatically become production-ready. Its purpose is to provide the expert workflow, decision logic, quality controls, failure handling, and verification discipline required to move software toward that goal safely and transparently.
How to install
Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.
- 1
Download the ZIP
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- 2
Unzip into your skills folder
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- 3
Ask your agent to use it
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