What happens if a task is too ambiguous to implement?

If requirements are underspecified or unsafe to implement, the skill will document the missing information and set the task state to 'blocked' rather than 'done'.

Does it verify the code before finishing?

Absolutely. The process includes running unit tests, end-to-end integration tests, and linting to ensure the implementation meets project standards and introduces no regressions.

How does the skill know what requirements to follow?

The skill uses the wrkq utility to fetch the full description, acceptance criteria, and constraints associated with a specific task ID provided by the user.

Can this skill work without human supervision?

Yes, it is designed for non-interactive mode. It makes autonomous decisions based on task context and documentation, ensuring progress even when the user is away.

Feature Implementation & Task Automation

Name: Feature Implementation & Task Automation
Author: lherron

bylherron

0•

Productivity & Workflow

Automates the end-to-end process of fetching, implementing, testing, and documenting software features directly from task management systems.

The Implement Feature skill streamlines the development lifecycle by enabling Claude to autonomously handle feature requests from inception to completion. By integrating with the wrkq task management tool, it allows the AI to retrieve specific requirements, devise structured implementation plans, write production-ready code, and execute comprehensive test suites. This skill is ideal for high-velocity teams looking to bridge the gap between project management and version control, ensuring every feature is not only built but also thoroughly documented and verified without manual intervention.

Key Features

01Automatic task state management and status updates

02Systematic planning with discrete, testable implementation units

03Automated requirement fetching via unique task IDs

04Autonomous code generation and integration testing

050 GitHub stars

06Detailed implementation summaries posted back to the task system

Use Cases

01Scaling development throughput by delegating well-defined feature tasks to an AI agent

02Maintaining synchronous task documentation and status updates without manual entry

03Converting backlog items into functional code and tests automatically

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lherron/agent-metaskills implement-feature

For use in Claude.ai and ChatGPT

Download Skill