whipplescript-author

Initialize WhippleScript workflow projects and validate rule sets.

Updated Jul 7, 2026
One-click install
npx skills add https://github.com/GaugeWright/whipplescript --skill whipplescript-author
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: whipplescript-author
Source: https://github.com/GaugeWright/whipplescript/tree/main/skills/whipplescript-author
Command: npx skills add https://github.com/GaugeWright/whipplescript --skill whipplescript-author

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

WhippleScript solves the reliability issues inherent in distributed AI automations, such as data leaks, infinite loops, and duplicate paid actions, by providing a language that enforces formal invariants for durable orchestration.

Core Features & Use Cases

  • Durable Orchestration: Manages long-running workflows, retries, and state persistence that survive process restarts.
  • Deterministic Policy: Separates decision-making logic from external effects, ensuring workflows remain auditable and predictable.
  • Use Case: Use this to build a multi-agent system that handles human approvals, parallel task execution, and complex error recovery for business-critical operations.

Quick Start

Use the whipplescript-author skill to initialize a new workflow project and validate your first rule set.

Frequently Asked Questions about whipplescript-author

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

FAQPage Schema
How do I build durable AI automations that survive process restarts?

Durable AI automations require event-sourced orchestration that persists state and guarantees exactly-once execution. WhippleScript provides a formal language and runtime to manage long-running workflows, retries, and state persistence that survive process restarts.

What is the best way to coordinate parallel agents with human-in-the-loop approvals?

Coordinating parallel agents with human-in-the-loop approvals requires a deterministic policy that separates decision logic from external effects. WhippleScript enforces formal invariants for multi-step orchestration, ensuring complex workflows remain auditable and predictable.

How do I prevent duplicate paid actions and infinite loops in distributed AI workflows?

Preventing duplicate paid actions and infinite loops in distributed AI workflows requires enforcing formal invariants for durable orchestration. WhippleScript solves these reliability issues by providing a language that guarantees exactly-once execution and idempotency.

Does this workflow orchestration approach support formal verification of invariants?

Yes, formal verification of workflow invariants is supported by separating deterministic policy from external effects. WhippleScript applies to complex, multi-step workflows requiring auditability, ensuring decision-making logic remains predictable and formally validated.

Can I use this for multi-agent systems handling complex error recovery?

Yes, you can use this for multi-agent systems handling complex error recovery. WhippleScript is designed for business-critical operations requiring robust failure handling, parallel task execution, and human approvals.

How do I initialize a new workflow project and validate a rule set?

To initialize a new workflow project and validate a rule set, use the whipplescript-author skill. This sets up your project structure and verifies your first formal rule set for durable orchestration.