What happens if a specific phase fails?

The skill stops execution immediately, reports which phase failed, and provides instructions on how to manually intervene or retry that specific phase.

Does it handle git commits automatically?

Yes, during the final 'Ship' phase, it automatically creates a git commit, submits an apex_reflect report, and updates the task status to complete.

Can I use this for large, complex projects?

It is best suited for small to medium tasks that fit in one session. For large projects, it's recommended to run phases individually to allow for human review and prevent context overflow.

What is the APEX workflow?

It is a structured development process consisting of four sequential phases: Research (gathering intelligence), Plan (architecture design), Implement (build and validate), and Ship (review and reflect).

APEX Workflow Orchestrator

Name: APEX Workflow Orchestrator
Author: benredmond

bybenredmond

Productivity & Workflow

Automates the complete software development lifecycle from initial research to final deployment in a single seamless session.

About

The APEX Workflow Orchestrator is a powerful meta-skill designed to streamline software development by chaining the four core APEX phases—Research, Plan, Implement, and Ship—into a unified execution. It allows developers to tackle small to medium-sized tasks, such as bug fixes or feature additions, without manual context switching or incremental skill invocation. By automating intelligence gathering, architectural design, code implementation, and final submission, it ensures consistency and high velocity for tasks that can be completed within a single session.

Key Features

Hands-free implementation with built-in validation and automated testing
Automated deployment, git commits, and performance reflection
0 GitHub stars
Automated architectural planning with mandatory artifact generation
End-to-end automation of the APEX development lifecycle
Integrated intelligence gathering and dependency research

Use Cases

Processing specific ticket IDs from a backlog with minimal manual intervention
Fixing documented bugs and verifying them with automated tests
Rapidly implementing small features or UI components in one sitting

About

Key Features

Hands-free implementation with built-in validation and automated testing
Automated deployment, git commits, and performance reflection
0 GitHub stars
Automated architectural planning with mandatory artifact generation
End-to-end automation of the APEX development lifecycle
Integrated intelligence gathering and dependency research

Use Cases

Processing specific ticket IDs from a backlog with minimal manual intervention
Fixing documented bugs and verifying them with automated tests
Rapidly implementing small features or UI components in one sitting