implement-issue

Automate GitHub issue implementation with code generation, testing, linting, and pull request creation.

114|6|Updated Feb 13, 2026
One-click install
npx skills add https://github.com/IliyaBrook/figma-linux --skill implement-issue-iliyabrook
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: implement-issue
Source: https://github.com/IliyaBrook/figma-linux/tree/main/.claude/skills/implement-issue
Command: npx skills add https://github.com/IliyaBrook/figma-linux --skill implement-issue-iliyabrook

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the entire process of implementing a GitHub issue, from initial setup and planning to code implementation, review, and pull request creation.

Core Features & Use Cases

  • End-to-End Automation: Orchestrates a multi-stage workflow involving various specialized agents.
  • Issue Implementation: Takes a GitHub issue number and a base branch to automatically generate, test, and review code changes.
  • Use Case: A developer can provide an issue number and branch, and this Skill will handle the entire development lifecycle for that issue, including code generation, testing, linting, and PR creation.

Quick Start

Use the implement-issue skill to implement issue number 123 on the main branch.

Frequently Asked Questions about implement-issue

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

FAQPage Schema
How do I automate GitHub issue implementation end-to-end?

Automating GitHub issue implementation involves orchestrating a multi-stage workflow that handles issue setup, code generation, testing, linting, and pull request creation. You provide an issue number and a base branch to trigger the full development lifecycle automatically.

Can I automatically create a pull request from a GitHub issue?

Yes, you can automatically create a pull request from a GitHub issue. The workflow orchestrates specialized agents to implement the code changes, run tests, simplify the code, and finally generate the pull request for the specified base branch.

What is multi-stage workflow orchestration for code generation?

Multi-stage workflow orchestration for code generation is a process where specialized agents handle distinct tasks sequentially. It automates issue setup, patch engineering, code simplification, linting, testing, and packaging to ensure comprehensive issue resolution.

How do I select specific agents for patch engineering and CI workflow design?

You can select specific agents for patch engineering and CI workflow design by configuring the workflow orchestration. This allows you to target specialized tasks like code implementation, packaging, and continuous integration setup within the automated process.

Does automated issue implementation work with an existing base branch?

Yes, automated issue implementation works with an existing base branch. You specify the base branch along with the GitHub issue number, and the workflow generates, tests, and reviews code changes before creating the pull request against that branch.