An advanced autonomic software factory skill for Clawdbot optimized for ephemeral VM execution and high-concurrency development loops.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install wreckit-skill
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 wreckit-skill 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 Wreckit Skill (jmanhype Fork)?
Wreckit Skill (jmanhype Fork) is a sophisticated integration that connects Clawdbot to an autonomic software factory designed for high-scale development. This version is specifically optimized for Cattle Architecture, utilizing ephemeral Sprite VMs to ensure that every task is executed in a clean, isolated environment. By utilizing Openclaw Skills like this, developers can achieve maximum security and prevent state contamination during complex, autonomous coding loops.
The skill provides a robust framework for managing the entire software development lifecycle, from initial ideation and roadmapping to self-healing diagnostics and pattern extraction. Whether running in secure Cattle mode using Firecracker microVMs or the high-speed local Pet mode, Wreckit empowers AI agents to act as fully functional software engineers with advanced rollback and optimization capabilities.
Wreckit Skill (jmanhype Fork) Use Cases
- Running autonomous development loops in isolated, secure microVMs to prevent host contamination.
- Automating technical debt discovery and roadmap generation through autonomous dreaming.
- Scaling software production by processing multiple development items in parallel.
- Self-healing and repairing broken codebases using diagnostic and geneticist optimization tools.
- Generating feature visualization videos and extracting reusable coding patterns from completed tasks.
How Wreckit Skill (jmanhype Fork) Works
- The user triggers a command such as "Wreckit run" or "Wreckit dream" through the Clawdbot interface.
- The skill invokes the run-wreckit.mjs script, which communicates with the globally installed Wreckit CLI.
- Depending on the configuration, the system spins up an ephemeral Sprite VM (Cattle Mode) or executes directly on the host (Pet Mode).
- The agent processes the assigned item ID, executing code changes, tests, or diagnostics within the isolated environment.
- Upon completion, the VM is decommissioned, and the skill handles state updates, pattern extraction, or automated rollbacks if necessary.
Wreckit Skill (jmanhype Fork) Setup
To use this skill, ensure the jmanhype fork of the Wreckit CLI is installed globally and accessible in your environment path.
# Install the Wreckit CLI from the jmanhype fork
npm install -g @jmanhype/wreckit
# Verify installation within your agent environment
wreckit --version
Once installed, you can interact with the skill using the specified trigger phrases in your agent interface to manage your Openclaw Skills workflow.
Wreckit Skill (jmanhype Fork) Data Schema & Taxonomy
Wreckit organizes its data using a structured taxonomy focused on items, phases, and extracted intelligence.
| Component | Format | Description |
|---|---|---|
| Item ID | Numeric/String | Unique identifier for a specific development task or feature. |
| Item State | Enum | Tracks progress through phases: Idea, Planned, In Progress, or Done. |
| Skills Registry | JSON | Located at .wreckit/skills.json, storing extracted patterns and logic. |
| Healing Logs | Log Files | Historical data used by the Geneticist to identify and fix recurrent error patterns. |
| Sprite VMs | Ephemeral | Temporary Firecracker microVM instances used for Cattle Mode execution. |
Wreckit Skill (jmanhype Fork) Advanced Features
- Cattle Architecture: Utilizes ephemeral Sprite VMs for secure, isolated task execution by default.
- Geneticist Optimization: Analyzes healing logs to identify recurrent error patterns and optimize system prompts automatically.
- High-Concurrency: Supports parallel processing of multiple items to increase development velocity.
- Pattern Extraction: Automatically learns from completed items to compile and refine a centralized skills database.
- Visual Summarization: Generates 30-second feature visualization videos for completed development tasks.
SKILL.md
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