implement-todo

Automate ClickUp TODO task implementation with PR creation and worktree management.

1|Updated Jan 11, 2026
One-click install
npx skills add https://github.com/martiendejong/autonomous-dev-system --skill implement-todo-martiendejong
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implement-todo
Source: https://github.com/martiendejong/autonomous-dev-system/tree/main/.claude/skills/implement-todo
Command: npx skills add https://github.com/martiendejong/autonomous-dev-system --skill implement-todo-martiendejong

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automates autonomous implementation of TODO tasks from project-management systems using AI-powered analysis and workflow automation, reducing manual effort and speeding delivery.

Core Features & Use Cases

  • AI-driven task analysis and completion detection for TODO tasks.
  • Autonomous implementation with CI/CD integration, PR creation, and worktree management.
  • Suitable for backend and frontend tasks across software projects, with checkpoints for reviews and blockers.

Quick Start

Invoke the implement-todo skill on your project board to autonomously analyze and implement all TODO tasks, create PRs, and manage worktrees.

Frequently Asked Questions about implement-todo

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

FAQPage Schema
How do I automate the implementation of TODO tasks from ClickUp using AI?

You can autonomously implement ClickUp TODO tasks by applying AI-powered analysis, code generation, and workflow orchestration to handle statuses like TODO, blocked, or refinement-needed while creating PRs and managing worktrees.

Can AI automatically create pull requests for backend and frontend TODO tasks?

Yes, autonomous TODO task implementation supports both backend and frontend software projects, utilizing CI/CD integration and workflow orchestration to automatically generate code and create pull requests.

What is the best way to manage worktrees when autonomously implementing TODO tasks?

Managing worktrees during autonomous TODO implementation is handled through allocate-worktree and release-worktree integrations, which allocate environments for tasks and release them after PR creation and verification.

How does autonomous task implementation handle blocked or refinement-needed TODO tasks?

Autonomous implementation uses decision gates and status updates to handle blocked or refinement-needed TODO tasks, triggering refinement workflows or stopping for human review before proceeding with code generation.

Does autonomous TODO implementation integrate with existing GitHub workflows and CI/CD pipelines?

Yes, autonomous TODO implementation integrates directly with github-workflow and CI/CD pipelines to automate task analysis, run complete-work-verification, and ensure code quality before finalizing pull requests.

When should I not use AI to autonomously implement TODO tasks?

You should avoid autonomous TODO implementation for tasks lacking clear acceptance criteria or requiring deep domain-specific logic, as decision gates may halt progress and require manual refinement before AI code generation can proceed.