Can I skip specific phases like research or specification?

Yes, the skill is highly configurable. You can use the 'skip_phases' option in the configuration or choose specific starting points via the interactive prompts.

Does this skill handle bug fixing automatically?

Yes, it includes an autonomous test-fix loop that coordinates between the test-executor and test-fixer skills to resolve failures until the code passes validation.

Is it possible to stop the workflow at a specific stage?

Yes, you can configure a 'stop_after' parameter, which is useful if you only want to generate a technical plan or research document without proceeding to implementation.

What documentation does the workflow generate?

The workflow manages state through standardized markdown files including CDC.md (Specification), findings.md (Research), Plan.md (Implementation), and test-plan.md.

Feature Workflow Orchestrator

Name: Feature Workflow Orchestrator
Author: LaizyIO

byLaizyIO

Productivity & Workflow

Orchestrates the complete software feature lifecycle from initial specification and research through implementation, testing, and automated fixing.

About

The Feature Workflow Orchestrator is a comprehensive management skill designed to automate the hand-offs between different stages of the development process. By coordinating specialized sub-skills for specification, research, planning, and execution, it provides a seamless path from a simple feature request to verified, production-ready code. Whether running in a fully autonomous mode or a controlled partial workflow, this skill ensures technical coherence, manages state across markdown-based documentation, and handles repetitive test-fix cycles to minimize manual intervention.

Key Features

Configurable workflow modes including Full, Partial, and Single-Phase execution
End-to-end orchestration of the full feature implementation lifecycle
Iterative autonomous test-fix cycles with configurable retry limits
0 GitHub stars
Automated state management between requirements, research, plans, and code
Interactive configuration via structured user questioning for high-level decision making

Use Cases

Building complex new features from scratch starting with requirement gathering
Generating comprehensive technical documentation and research findings before committing to code
Automating the test-implementation-fix loop for existing technical plans

About

Key Features

Configurable workflow modes including Full, Partial, and Single-Phase execution
End-to-end orchestration of the full feature implementation lifecycle
Iterative autonomous test-fix cycles with configurable retry limits
0 GitHub stars
Automated state management between requirements, research, plans, and code
Interactive configuration via structured user questioning for high-level decision making

Use Cases

Building complex new features from scratch starting with requirement gathering
Generating comprehensive technical documentation and research findings before committing to code
Automating the test-implementation-fix loop for existing technical plans