A structured, quality-first development lifecycle for AI agents involving rigorous planning, test-driven development, and pull request reviews.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install task-development-workflow
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 task-development-workflow 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 Task Development Workflow?
The task-development-workflow is a robust framework designed to ensure high-quality software output by enforcing a disciplined engineering cycle. It transforms the AI agent's approach from simple code generation into a professional development process that prioritizes requirements clarification, Test-Driven Development (TDD), and transparent task management. By integrating these practices into Openclaw Skills, developers can maintain better control over complex projects and significantly reduce technical debt through mandatory approval gates and rigorous code reviews.
This workflow is specifically designed for environments where precision and reliability are more important than raw speed. It ensures that every line of code is justified by a requirement, verified by a test, and validated by a human or peer reviewer before it ever reaches the main codebase. Using this within the framework of Openclaw Skills provides a standardized way to manage the entire development lifecycle from initial bootstrap to final merge.
Task Development Workflow Use Cases
- Building complex software projects that require high architectural integrity and clear documentation.
- Teams requiring transparent progress tracking via Trello or similar kanban tools for AI-driven tasks.
- Projects where software quality is paramount and TDD is a non-negotiable requirement for all features.
- Collaborative development environments where PR feedback loops and branch protection policies are essential.
How Task Development Workflow Works
- Clarify requirements by asking critical questions regarding business goals, UI/UX expectations, and technical constraints before writing any code.
- Generate a detailed task breakdown and wait for explicit approval from the user before starting the implementation phase.
- Setup task tracking on a Trello board to manage the movement of work through Backlog, To Do, In Progress, Review, and Done states.
- Implement features using a strict TDD approach: write failing tests first, implement the code until tests pass, and then commit the changes.
- Create feature-specific branches for every task and open pull requests to the main branch, ensuring the task link is included in the description.
- Iterate through a PR feedback loop, addressing all review comments and updating the task status until final approval and merge.
Task Development Workflow Setup
To implement this workflow within your Openclaw Skills configuration, ensure your environment has access to Git and your preferred task management API.
# Initialize your project repository
git init
# Create a README to bootstrap the project
touch README.md
git add README.md
git commit -m "initial commit"
# Ensure your AI agent is configured to use the task-development-workflow
Task Development Workflow Data Schema & Taxonomy
| Component | Details |
|---|---|
| Task Board | Organized into columns: Backlog, To Do, In Progress, Review, and Done. |
| PR Metadata | Must include Trello card links, a summary of changes, and a reference to the task branch. |
| Branching Model | Strict policy: No direct pushes to main; all work occurs in feature branches. |
| Testing Evidence | Automated test logs must confirm that implementation meets the TDD requirements defined in Phase 4. |
Task Development Workflow Advanced Features
- Mandatory planning approval gates that prevent the AI agent from starting implementation without a verified technical design.
- Integrated Trello automation that moves task cards based on Git lifecycle events like commits and pull requests.
- Strict Test-Driven Development (TDD) enforcement to ensure high test coverage and catch regressions early in the lifecycle.
- Structured PR feedback loops that force the agent to address reviewer comments before proceeding to the next task.
- Support for Openclaw Skills to maintain long-term project stability by adhering to standardized branching and merging policies.
SKILL.md
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