A high-velocity execution framework that dispatches specialized subagents for independent tasks with automated two-stage reviews.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install subagent-driven-development
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 subagent-driven-development using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Subagent-Driven Development is a sophisticated workflow designed for AI coding agents to execute implementation plans within a single session. By leveraging the modular power of Openclaw Skills, this method dispatches a fresh subagent for every task to prevent context pollution and ensure high-speed iteration.
The core philosophy centers on a Fresh Subagent per Task model followed by a rigorous two-stage review process. This ensures that every piece of code not only meets the initial specifications but also adheres to high-quality standards before moving to the next task, making it a premier choice among Openclaw Skills for complex software engineering.
To utilize this skill, you must have an implementation plan ready. The process integrates with other Openclaw Skills to maintain isolation and quality.
# Ensure your environment is prepared with the following prompt templates:
# - ./implementer-prompt.md
# - ./spec-reviewer-prompt.md
# - ./code-quality-reviewer-prompt.md
# Initialize an isolated workspace before starting
# This usually involves using git worktrees for clean environments.
The skill manages task execution and verification through a structured data lifecycle:
| Component | Purpose | Data Managed |
|---|---|---|
| TodoWrite | Task Tracking | Stores full task text, context, and completion status. |
| Implementer | Task Execution | Generates code, tests, and commit messages. |
| Spec Reviewer | Compliance | Validates code against documentation and feature requirements. |
| Quality Reviewer | Optimization | Evaluates code for magic numbers, complexity, and best practices. |
All data is passed via specialized prompts within the Openclaw Skills framework to ensure zero context drift.
Loading
A specialized skill for triggering automated subagent code reviews to ensure quality and requirement alignment during development.

A structured workflow for finalizing development work, ensuring all tests pass before automating merges or pull request creation.

A sophisticated orchestration pattern for running multiple AI agents concurrently to solve independent technical problems without shared state interference.

A collaborative design skill that refines project ideas into structured technical specifications through iterative dialogue.

A specialized skill for creating and managing isolated Git workspaces with automated safety checks and environment setup.

A mandatory meta-skill that enforces the invocation of relevant specialized skills before an AI agent takes any action or answers any question.








































