Match Loop is an advanced iterative orchestration pattern for Openclaw Skills that pairs a generator agent with a visual analyst to ensure code matches target UI and functional requirements perfectly.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install match-loop
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 match-loop 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 Match Loop?
Match Loop is a specialized framework within Openclaw Skills designed for high-fidelity vibe-coding. It solves the common problem of one-shot generation failures by establishing a strict feedback loop between two distinct sub-agents. The generator focuses on rapid implementation and technical revision, while the analyst acts as a human-in-the-loop surrogate, performing deep code reviews and essential visual inspections in a live browser environment.
By leveraging this Openclaw Skills pattern, developers can move beyond simple text-based code generation. The system ensures that frontends are not just syntactically correct, but visually polished and functionally sound. It bridges the gap between what an AI thinks it wrote and what a user actually sees on their screen through mandatory visual QA protocols.
Match Loop Use Cases
- Rapid prototyping of vibe-coded web applications where visual accuracy is paramount.
- Developing mobile-responsive landing pages that require testing across multiple viewport sizes.
- Refining complex UI-heavy dashboards and onboarding flows.
- Building API-backed frontend apps where functional smoke tests are required alongside styling.
- Automating the polish phase of React, Next.js, or Vite projects to eliminate layout shifts and CSS bugs.
How Match Loop Works
- Define the Target: The user establishes the project scope, visual style expectations, and functional must-haves within the Openclaw Skills environment.
- Spawn Roles: The parent agent initializes two dedicated workers: a Generator and an Analyst.
- Build Phase: The Generator implements the first version of the files and prepares the environment for a preview.
- Visual & Code Review: The Analyst performs a three-layer inspection: code architecture review, visual browser inspection (including screenshots), and functional smoke testing.
- Feedback Packet: The Analyst generates a prioritized list of defects, including visual screenshots and API failure logs.
- Iterative Revision: The Generator applies fixes based on the packet, and the loop repeats until the Analyst marks the status as accepted.
Match Loop Setup
To utilize the Match Loop within your Openclaw Skills setup, ensure you have the necessary browser automation tools installed for the Analyst role:
# Install Playwright for visual inspection
npm install -g playwright
playwright install chromium
# Enable the skill in your Openclaw configuration
openclaw skill add match-loop
Ensure your environment allows for local port forwarding or has a preview URL mechanism enabled so the Analyst can access the rendered UI.
Match Loop Data Schema & Taxonomy
The Match Loop skill organizes its iterative data to maintain a clear history of the refinement process:
| Data Component | Description | Format |
|---|---|---|
| Target Definition | Core requirements and acceptance criteria | Markdown/JSON |
| Feedback Packet | Prioritized list of bugs and visual defects | Markdown |
| Visual Artifacts | Screenshots of the UI at different loop stages | .png / .jpg |
| Revision History | Log of changes made by the generator per round | Git-style diffs |
| Acceptance Status | Final sign-off: accepted, revise, or blocked | String Enumeration |
Match Loop Advanced Features
- Visual QA Escalation: Automatically switches from basic DOM inspection to Playwright or desktop-level tools like Hammerspoon if standard previews fail.
- Multi-Agent Orchestration: Seamlessly handoff tasks between specialized Openclaw Skills workers while the parent agent maintains state.
- Automated Screenshot Analysis: Analyst agents capture and analyze UI snapshots to detect layout overlaps, low contrast, and mobile responsiveness issues.
- Convergence Intelligence: Prevents infinite loops by identifying when revisions are no longer producing meaningful improvements.
SKILL.md
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