A dedicated AI agent skill for building quick, throwaway prototypes to validate architectural logic or UI designs before committing to production code.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install mp-prototype
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install mp-prototype using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Prototype Skill?
The Prototype skill enables AI coding agents to efficiently construct throwaway code aimed at answering a specific structural or design question. When using Openclaw Skills, this tool acts as a sandbox for exploring complex state machines, backend logic, or user interface configurations without cluttering production branches or incurring technical debt.
By keeping the prototype decoupled from persistence layers and polishing workflows, the skill helps developers fast-track the discovery phase. Once the underlying question is resolved, the core learnings are documented while the experimental code is safely discarded or absorbed into the main codebase.
Prototype Skill Use Cases
- Validating a complex state machine or business logic model via a minimal interactive terminal application.
- Testing multiple user interface layouts or component designs across a single route with a runtime switcher.
- Exploring architectural design options and validating assumptions prior to starting full-scale implementation.
- Creating sandbox demonstrations for rapid feedback during user sessions or stakeholder reviews.
How Prototype Skill Works
- Analyze Requirements: The skill detects the primary question from the user's prompt or workspace context to determine whether a logic or UI branch is required.
- Isolate Codebase: It sets up an isolated environment or distinctly named folder near the relevant production files to house the experimental prototype.
- Build Core Logic: The agent generates minimal, zero-persistence code focused entirely on testing the target logic or interface variation.
- Surface Runtime State: It exposes the internal state after every system action or UI variation switch to provide clear, actionable feedback.
- Document and Cleanup: Upon completing the assessment, the skill summarizes findings into a durable file like NOTES.md and flags the temporary code for deletion or absorption.
Prototype Skill Setup
To integrate this capability into your AI workflows, configure the skill block within your agent profile:
# Initialize the skill within your agent workspace
openclaw skills add prototype
Ensure your project runner is active so the prototype can generate a single, direct command to boot up the environment (e.g., pnpm run prototype or python prototype.py).
Prototype Skill Data Schema & Taxonomy
The skill manages its data and experimental branches dynamically according to the following file layout and structural taxonomy:
| Location / Artifact | Purpose | Naming Convention |
|---|---|---|
**/[module]/prototype_* |
Isolated logic or UI workspace located near production code. | prototype_[feature_name] |
**/prototype_*/NOTES.md |
Durable storage for capturing answers, decisions, and architecture design records (ADR). | NOTES.md |
| Scratch Database / File | Local in-memory or file-based transient state tracking (if database testing is explicitly requested). | PROTOTYPE_WIPE_ME.db |
All state metrics are tracked in volatile memory to prevent side effects on actual application storage.
Prototype Skill Advanced Features
- Dual Branch Routing: Automatically switches between a Terminal Logic execution model and a multi-variant UI branch model based on code context.
- Runtime State Printing: Emits full object state tracking to stdout or an on-screen debug panel automatically after every user transaction.
- Single-Command Initialization: Configures a dedicated script entry inside package.json or task runners automatically for zero-friction setup.
- Automated Handover Documentation: Pre-generates structured placeholder files or commit messages to log validation verdicts prior to cleanup.
SKILL.md
Loading
Related Openclaw Skills
TDD
A systematic, test-driven development workflow designed to guide AI agents through precise, vertical red-green-refactor loops.
Grill-Me
An aggressive, investigative AI-driven interviewing framework designed to stress-test your system architectures, technical designs, and plans until true alignment is achieved.
Database Schema Designer
An expert database modeling skill that architecturally transforms business requirements into production-ready schemas, ER diagrams, indexing strategies, and optimized DDL definitions.
Financial Fund Administration
A powerful suite of financial operations tools for automating GL reconciliation, accrual scheduling, NAV tie-out, roll-forward validation, and variance commentary.
diagnose
A disciplined, multi-phase diagnosis loop designed for tracing hard bugs and performance regressions through structured reproduction and feedback loops.
Code Review and Quality Agent Skill
A multi-dimensional code quality gate and security audit skill that validates correctness, architecture, performance, and AI agent integrity before merge or deployment.
Featured*
