workflow

Orchestrates feature workflow lifecycle across phases, statuses, PRs, and track files using a state machine with gate rules.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/alva-intelligence/agentic-workflows --skill workflow-alva-intelligence
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: workflow
Source: https://github.com/alva-intelligence/agentic-workflows/tree/main/skills/workflow
Command: npx skills add https://github.com/alva-intelligence/agentic-workflows --skill workflow-alva-intelligence

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

Tracking and coordinating multi-service feature work requires consistent state management across phases, branches, PRs, and track files. This skill provides a unified state machine to reduce drift and ensure alignment.

Core Features & Use Cases

  • State-machine driven lifecycle for features (idle, brainstorming, prd creation, implementation, pr, etc.)
  • Context switching across active features, teams, and workspaces
  • Gate-checked transitions with session checks and onboarding integration

Quick Start

Start by inspecting the current workflow state and initiating onboarding if needed.

Frequently Asked Questions about workflow

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I track multi-service feature workflows across different branches and PRs?

Multi-service feature workflows are tracked using a unified state machine that manages phases, branches, and PRs across services. This reduces state drift and ensures team alignment through deterministic context-switching and gate-checked transitions.

What is a state-machine driven lifecycle for feature development?

A state-machine driven lifecycle enforces deterministic transitions between feature phases like brainstorming, PRD creation, and implementation. It applies gate rules and session checks to validate state changes before allowing work to proceed.

How do I manage context switching across active product development teams?

Context switching across active features and workspaces is managed by the unified state machine. It tracks current statuses and phases, allowing product development teams to deterministically switch contexts without losing track file alignment.

Can I use gate-checked transitions for team collaboration in feature management?

Gate-checked transitions support team collaboration by enforcing session checks and onboarding integration before allowing state changes. This ensures multi-service feature work meets defined criteria before progressing through the lifecycle.

When do I need a unified state machine for feature workflow orchestration?

A unified state machine is needed when coordinating multi-service feature work requires consistent state management across phases, branches, and track files. It prevents state drift and ensures alignment during complex product development.