stateful-workflows

Automates creation, execution and persistence of XState-based multi-step business processes with human-in-the-loop options via MCP tools.

32|3|Updated Sep 30, 2025
One-click install
npx skills add https://github.com/BulloRosso/etienne --skill stateful-workflows
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: stateful-workflows
Source: https://github.com/BulloRosso/etienne/tree/main/skill-repository/standard/optional/stateful-workflows
Command: npx skills add https://github.com/BulloRosso/etienne --skill stateful-workflows

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Stateful workflows enable teams to model, persist, and monitor multi-step processes with clear transitions and automated progression, reducing manual coordination and errors.

Core Features & Use Cases

  • XState-based state machines stored as JSON for deterministic execution.
  • Human-in-the-loop support via MCP tools for approval or review steps.
  • Event-driven transitions and persistence across sessions and teams.
  • Safe rollback and recovery paths to handle failures and changes in requirements.

Quick Start

Create a sample workflow with three states and simulate transitions to observe the state machine in action.

Frequently Asked Questions about stateful-workflows

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

FAQPage Schema
How do I automate stateful workflows with human-in-the-loop approval steps?

You can automate stateful workflows by defining XState state machines as JSON, using MCP tools to trigger event-driven transitions and pause execution for human approval or review before progressing.

What is the best way to manage multi-step business processes with safe rollback and recovery?

The best way to manage multi-step business processes is to use stateful workflows with XState configurations, which provide deterministic execution, clear transitions, and safe rollback paths to handle failures and requirement changes.

How do I persist and monitor XState state machines across different sessions and teams?

You can persist and monitor XState state machines by storing their configurations as JSON, allowing event-driven transitions and execution states to be tracked and maintained across cross-team workflows and multiple sessions.

Can I trigger real-time event transitions in a stateful workflow using MCP tools?

Yes, stateful workflows support real-time event triggers via MCP tools, allowing you to automate execution, monitor states, and drive transitions dynamically without manual coordination.

Does XState work for modeling complex cross-team workflows with automated progression?

XState works effectively for cross-team workflows by defining deterministic machine configurations, states, and onEntry actions to automate progression, reducing manual coordination and errors.

When do I need event-driven state machines for workflow management?

You need event-driven state machines when modeling multi-step business processes that require clear transitions, optional human-in-the-loop reviews, and persistence across sessions to reduce manual coordination errors.