How does this skill handle code quality?

The orchestrator utilizes a dedicated TDD (Test-Driven Development) loop and a validation phase to ensure all code is tested and passes QA before being committed.

Can I use it to build specific features?

Absolutely. You can initialize the orchestrator with a specific objective, such as 'Build user authentication', and it will generate the plan and execute the implementation.

Does it integrate with Git?

Yes, the orchestrator includes a specific 'Commit' phase in its lifecycle to automatically handle Git version control once a feature is validated.

What is the primary role of the Autonomous Orchestrator?

It manages the entire workflow of an AI coding session, ensuring that critical steps like planning, testing, coding, and committing happen in a structured, logical order.

Autonomous Coding Orchestrator

Name: Autonomous Coding Orchestrator
Author: adaptationio

byadaptationio

Productivity & Workflow

Orchestrates the end-to-end lifecycle of autonomous software development tasks, from planning and TDD implementation to validation and commits.

About

The Autonomous Coding Orchestrator serves as the central command center for AI-driven development sessions, streamlining the entire software creation process by coordinating multiple sub-skills and components. It automates the transition between project initialization, feature planning, Test-Driven Development (TDD) execution, and quality assurance validation, ensuring that complex development objectives are completed with minimal manual intervention and consistent architectural integrity.

Key Features

Intelligent planning and automated feature list generation
Seamless Git commit integration for finalized features
Automated Test-Driven Development (TDD) implementation loops
Full-lifecycle session management from initialization to handoff
0 GitHub stars
Integrated QA review and validation protocols

Use Cases

Building entire software features autonomously with minimal human oversight
Standardizing the TDD workflow across complex development environments
Automating routine maintenance and bug fixes through a structured pipeline

About

Key Features

Intelligent planning and automated feature list generation
Seamless Git commit integration for finalized features
Automated Test-Driven Development (TDD) implementation loops
Full-lifecycle session management from initialization to handoff
0 GitHub stars
Integrated QA review and validation protocols

Use Cases

Building entire software features autonomously with minimal human oversight
Standardizing the TDD workflow across complex development environments
Automating routine maintenance and bug fixes through a structured pipeline