statsclaw-protocol

What problem does it solve?

This Skill eliminates the complex manual work of coordinating multiple specialized AI agents for end-to-end statistical package development, handling workflow orchestration, strict pipeline isolation, state management, and validation gates so you can focus on domain expertise instead of process management.

Core Features & Use Cases

• Multi-Agent Orchestration Protocol: Defines the full workflow for coordinating 9 specialized AI agents (leader, planner, builder, tester, simulator, scriber, distiller, reviewer, shipper) to handle every stage of statistical package work from planning to shipping.
• Isolated Multi-Pipeline Architecture: Enforces strict separation between code, test, and simulation pipelines to enable adversarial verification, drastically reducing the risk of overlooked errors in statistical software.
• Use Case: A statistical researcher can trigger a full bug fix, feature implementation, or Monte Carlo simulation study for their R or Python statistical package with a single natural language prompt, with all validation, documentation, and PR creation handled automatically.

Quick Start

Use the statsclaw-protocol skill to fix issue #42 in your statistical package by typing "fix fect issue #42" in your Claude Code session.