melt

Automates software tasks from prompt to verified deployment with platform-aware verification.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/Motium-AI/claude-code-toolkit --skill melt
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: melt
Source: https://github.com/Motium-AI/claude-code-toolkit/tree/main/config/skills/melt
Command: npx skills add https://github.com/Motium-AI/claude-code-toolkit --skill melt

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Melt automates the end-to-end task lifecycle for software changes, unblocking manual bottlenecks by driving a fix-verify loop from prompt to verified deployment.

Core Features & Use Cases

  • Autonomous task execution: identifies, implements, tests, and deploys code changes until completion.
  • Deterministic stop: uses a predictable completion checkpoint to ensure all checks pass before stopping.
  • Platform-aware verification: validates results in web environments and mobile flows with appropriate tests and artifacts.

Quick Start

Invoke Melt with a task prompt such as "go do: implement feature X in the project" and monitor the auto-generated checkpoints and deployment status. Melt will handle planning, coding, linting, testing, and deployment, auto-committing changes and reporting results when the stop hook passes. If any checkpoint fails, it continues iterating until completion.

Frequently Asked Questions about melt

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate end-to-end software tasks from prompt to deployment?

Automated end-to-end task execution drives the entire software lifecycle from a natural language prompt to verified deployment. It handles planning, coding, linting, testing, and committing changes until a deterministic completion checkpoint passes.

Can I use autonomous task execution for both web and mobile projects?

Autonomous task execution applies to both web and mobile projects. It uses platform-aware verification, validating web environments with Surf CLI and mobile flows with Maestro MCP to ensure changes pass appropriate tests and artifacts.

How does deterministic verification work for automated code changes?

Deterministic verification uses a predictable completion checkpoint to ensure all linting and testing checks pass before stopping. If any checkpoint fails, the fix-verify loop continues iterating until the task reaches completion.

What is the best way to trigger automated bug fixes and feature work?

Trigger automated bug fixes and feature work by invoking the task with a natural language prompt like "go do: implement feature X" or using specific commands. The system autonomously plans, codes, tests, and deploys the requested changes.

Does autonomous code deployment auto-commit changes if tests fail?

Autonomous code deployment does not stop if tests fail. It continuously iterates through the fix-verify loop, auto-committing changes and reporting results only when the deterministic stop hook passes all platform-aware verification checks.