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command-auto-implement

Automates feature implementation workflow from issue tracking to pull request merging.

Updated Apr 22, 2026
Search Tags:#automation#workflow#pull request#code generation#ai agent#spec-driven development#feature implementation
One-click install
npx skills add https://github.com/aroido/vibesmith --skill command-auto-implement
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: command-auto-implement
Source: https://github.com/aroido/vibesmith/tree/main/.codex/skills/command-auto-implement
Command: npx skills add https://github.com/aroido/vibesmith --skill command-auto-implement

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 new feature, from understanding the issue and generating specifications to writing code, running quality checks, and creating a pull request, significantly reducing development time and manual effort.

Core Features & Use Cases

  • Full-Stack Automation: Manages the complete feature development lifecycle for frontend, backend, API specs, and documentation.
  • Spec-Driven Development: Ensures all implementation is based on AI-generated or reviewed specifications.
  • Automated Quality Gates: Runs tests, linting, and type checks, with automated fixes for common issues.
  • Use Case: A developer needs to add a new user profile section. They run /auto-implement user-profile --issue 123, and the AI handles spec generation, coding, testing, and PR creation, requiring minimal human intervention.

Quick Start

Run the command /auto-implement new-dashboard-widget --issue 456 to automatically implement the specified feature.

Frequently Asked Questions about command-auto-implement

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

FAQPage Schema
How do I automate feature implementation from an issue ticket to a pull request?▼

Automated feature implementation handles the end-to-end workflow from issue tracking to pull request merging, generating specifications, writing code, running quality gates, and creating the PR. You initiate it via a single command referencing the feature and issue ID.

Can AI automatically generate code and run tests for full-stack features?▼

Yes, full-stack automation manages the complete feature development lifecycle for frontend, backend, API specs, and documentation. It executes automated quality gates including tests, linting, and type checks with automated fixes for common issues.

Does automated pull request generation require manual intervention during coding?▼

Automated pull request generation uses a human-on-the-loop approach for critical decisions, requiring minimal human intervention. The AI agent autonomously handles spec generation, coding, code review with automated fixes, and PR creation.

What is the best way to implement spec-driven development for parallel frontend and backend tasks?▼

The best way to implement spec-driven development for parallel tasks is using an AI agent that validates architecture and generates components concurrently. This ensures frontend and backend implementations adhere to the generated specifications.

Are there limitations to automating the entire feature development lifecycle?▼

Automating the feature development lifecycle requires human-on-the-loop oversight for critical decisions, meaning it does not operate fully autonomously. Complex edge cases may still need manual code review despite automated quality gate fixes.

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