What does the Feature Workflow Orchestrator do?

It acts as a master controller for the software development lifecycle, coordinating specialized skills for research, planning, implementation, and testing to execute complex features end-to-end.

Does it support advanced development environments?

Yes, it includes advanced features like Git worktree support and per-step build validation, allowing for isolated implementation environments and early detection of integration issues.

How does it improve my coding workflow?

It reduces manual context switching by automatically passing state—such as research findings and implementation plans—between different AI tools, ensuring a consistent and error-free development process.

Can I run only specific parts of the workflow?

Yes. The skill is highly configurable, allowing you to skip phases (like research) or stop at specific points (like after planning) to inspect the AI's work before moving to implementation.

When should I use this skill?

Use it when you want to automate a complete feature build from scratch or when you need a structured, autonomous 'test-fix' loop to ensure your code passes all requirements without manual oversight.

Feature Workflow Orchestrator

Name: Feature Workflow Orchestrator
Author: LaizyIO

byLaizyIO

생산성 및 워크플로

Manages the complete software development lifecycle by coordinating research, planning, implementation, testing, and bug-fixing phases.

소개

The Feature Workflow Orchestrator serves as the central command for end-to-end feature development, seamlessly transitioning between research, planning, coding, and quality assurance. By automating the state-passing between specialized sub-skills, it enables developers to execute full autonomous implementations or precisely controlled partial workflows. Whether you need a hands-off 'research-to-fix' cycle or a specific 'test-and-fix' loop, this skill ensures consistent documentation, systematic iteration, and robust error handling throughout the development process.

주요 기능

Granular workflow control with support for skipping or stopping at specific phases
End-to-end orchestration of research, planning, implementation, and testing phases
Advanced implementation options including git worktrees and per-step build validation
Configurable autonomous iteration through implementation-test-fix cycles
0 GitHub stars
Intelligent state management using standardized findings, plans, and failure reports

사용 사례

Coordinating complex development tasks that require systematic research and detailed planning
Executing a complete, hands-off implementation of a well-defined feature request
Running an automated 'test-and-fix' loop to resolve bugs in an existing codebase

소개

주요 기능

Granular workflow control with support for skipping or stopping at specific phases
End-to-end orchestration of research, planning, implementation, and testing phases
Advanced implementation options including git worktrees and per-step build validation
Configurable autonomous iteration through implementation-test-fix cycles
0 GitHub stars
Intelligent state management using standardized findings, plans, and failure reports

사용 사례

Coordinating complex development tasks that require systematic research and detailed planning
Executing a complete, hands-off implementation of a well-defined feature request
Running an automated 'test-and-fix' loop to resolve bugs in an existing codebase