A comprehensive 11-step development lifecycle skill that merges specification-driven design with AI-powered quality assurance and brainstorming tools.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install super-spec
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install super-spec using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Super-Spec is a sophisticated orchestration layer designed to streamline the software development life cycle (SDLC) within AI coding environments. By fusing the creative and quality-focused capabilities of the superpowers suite with the structured, document-first approach of spec-kit, it creates a robust framework for building reliable software. This integration ensures that every developer using Openclaw Skills can move from a vague concept to a fully verified, peer-reviewed implementation without manual overhead.
The skill acts as an automated guide, enforcing best practices like Test-Driven Development (TDD), systematic debugging, and thorough requirement clarification. It is designed to reduce the friction of managing multiple AI sub-tasks, providing a unified command to handle everything from initial brainstorming to final branch cleanup.
To get started with this skill within the Openclaw Skills ecosystem, ensure you have the required dependencies installed in your project.
# 1. Install superpowers
# Copy the superpowers skill folder to your project's .claude/skills/ directory.
# 2. Install spec-kit
# Copy the spec-kit skill folder to your project's .claude/skills/ directory.
# 3. Launch the workflow
/super-spec "describe your feature or simply say start"
The Super-Spec skill manages and generates several key artifacts to maintain project state:
| Artifact | Purpose |
|---|---|
| Constitution | Defines project-wide principles and coding standards. |
| Specification | A detailed Markdown file outlining functional requirements. |
| Technical Plan | A technical roadmap for implementation. |
| Task List | A checklist of atomic steps for the AI agent to execute. |
| Test Suite | TDD-related files ensuring feature correctness. |
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