How do I create a new coding task specification?

You can use the 'python spec_runner.py --task "description"' command or use the '--interactive' flag for more complex requirements.

Can I test the AI-generated code before merging it?

Yes, Auto-Claude creates an isolated workspace in the .worktrees directory where you can run the project and verify changes before using the --merge command.

What is the Auto-Claude CLI skill?

It is a specialized command reference and usage guide for managing the Auto-Claude autonomous coding framework, helping users orchestrate complex AI development tasks.

What are the complexity tiers in Auto-Claude?

Auto-Claude categorizes tasks into Simple (1-2 files), Standard (3-10 files), and Complex (10+ files) to determine the number of implementation phases and depth of the build.

How does the QA validation loop work?

The QA Reviewer checks code against acceptance criteria; if issues are found, a QA Fixer applies corrections automatically for up to 50 iterations until the code passes.

Auto-Claude CLI Manager

Name: Auto-Claude CLI Manager
Author: adaptationio

byadaptationio

Productivity & Workflow

Manages autonomous coding workflows through a comprehensive command-line interface for spec creation, build execution, and QA validation.

About

The Auto-Claude CLI skill provides a specialized reference and execution framework for the Auto-Claude autonomous coding environment. It streamlines the entire development lifecycle—from interactive specification generation and complexity-tiered builds to automated QA loops and workspace management. By providing direct access to core commands like spec_runner and run.py, this skill enables developers to trigger complex coding tasks, review changes in isolated worktrees, and merge verified code with high precision and minimal manual intervention.

Key Features

Flexible build controls including pause, resume, and review options
0 GitHub stars
Interactive and task-based specification (spec) generation
Integrated QA validation loop with automatic fix requests
Isolated workspace management via Git worktrees for safe testing
Automated coding build execution with complexity-tiering (Simple, Standard, Complex)

Use Cases

Automating the multi-step quality assurance process for AI-generated code changes
Generating detailed technical specifications from high-level natural language task descriptions
Running autonomous agents to implement features or bug fixes in isolated environments

About

Key Features

Flexible build controls including pause, resume, and review options
0 GitHub stars
Interactive and task-based specification (spec) generation
Integrated QA validation loop with automatic fix requests
Isolated workspace management via Git worktrees for safe testing
Automated coding build execution with complexity-tiering (Simple, Standard, Complex)

Use Cases

Automating the multi-step quality assurance process for AI-generated code changes
Generating detailed technical specifications from high-level natural language task descriptions
Running autonomous agents to implement features or bug fixes in isolated environments