implement-task

Coordinate subagents to plan, implement, test, and review code changes.

2|Updated May 27, 2026
One-click install
npx skills add https://github.com/edlng/agents --skill implement-task-edlng
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implement-task
Source: https://github.com/edlng/agents/tree/main/skills/claude/implement-task
Command: npx skills add https://github.com/edlng/agents --skill implement-task-edlng

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the problem of fragmented development workflows by automating the entire lifecycle of a task, from initial codebase analysis and planning to implementation, testing, and final code review.

Core Features & Use Cases

  • Autonomous Planning: Uses subagents to decompose complex tasks into ordered, manageable subtasks with complexity analysis.
  • Iterative Quality Control: Employs a multi-lens review process (requirements, quality, optimization) and an autonomous test-fix loop to ensure high-quality code.
  • Use Case: Use this when you have a feature request or bug fix without a Jira ticket and need an agent to handle the full implementation cycle, including research, coding, and verification.

Quick Start

Invoke the implement-task skill by providing a clear and concise description of the feature or fix you need the agent to implement.

Frequently Asked Questions about implement-task

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

FAQPage Schema
How do I automate the software development lifecycle for complex coding tasks?

Automating the software development lifecycle requires coordinating subagents for planning, research, implementation, and testing to handle complex coding tasks. This approach decomposes tasks into manageable subtasks and applies multi-phase verification through a structured three-lens review process.

What is the best way to handle a feature request or bug fix without a Jira ticket?

Handling a feature request or bug fix without a Jira ticket is best achieved through end-to-end autonomous task implementation. This process manages the full implementation cycle automatically, including initial codebase analysis, coding, and iterative quality verification.

How does an autonomous code review process work for iterative refinement?

Autonomous code review works by employing a multi-lens review process that evaluates requirements, quality, and optimization. It uses an autonomous test-fix loop to iteratively refine code, ensuring consistent code style, dependency management, and automated quality assurance.

Can I use subagents to decompose complex tasks into ordered subtasks?

Yes, you can use subagents to decompose complex tasks into ordered, manageable subtasks. Autonomous planning leverages subagents to perform complexity analysis and establish a structured implementation sequence with codebase context awareness.

Does autonomous task implementation work for codebase context awareness and multi-phase verification?

Autonomous task implementation works effectively for codebase context awareness and multi-phase verification. It coordinates subagents to analyze the codebase context and applies iterative refinement through structured testing and quality assurance loops.

When should I not use an autonomous workflow for software engineering?

You should not use an autonomous workflow for software engineering when tasks lack clear requirements or require manual architectural decisions outside the system's codebase context. It is designed for complex coding tasks needing structured, multi-phase verification rather than ambiguous, open-ended exploration.