boss-claw

Coordinates autonomous decision-making using Lobster's Decision Stack and Context Acquisition Protocol.

Updated Aug 27, 2026
One-click install
npx skills add https://github.com/Chris-Graffagnino/Boss-Claw --skill boss-claw
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: boss-claw
Source: https://github.com/Chris-Graffagnino/Boss-Claw/tree/main
Command: npx skills add https://github.com/Chris-Graffagnino/Boss-Claw --skill boss-claw

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a structured, logic-first framework for autonomous agents to make high-quality, critical decisions, especially in complex or time-sensitive situations, ensuring robust reasoning and bias mitigation.

Core Features & Use Cases

  • Structured Reasoning: Implements the Lobster's Decision Stack (LDS) for comprehensive decision-making.
  • Context Acquisition: Utilizes the Context Acquisition Protocol (CAP) for intelligent information gathering.
  • Bias Interruption: Employs the Munger Audit to actively identify and counteract cognitive biases.
  • Urgency Management: Adapts decision-making speed and depth based on temporal urgency.
  • Use Case: When an autonomous agent needs to decide on a strategic resource allocation, a complex operational adjustment, or act as a tie-breaker between other agents, this Skill ensures the decision is made with maximum rigor and minimal bias.

Quick Start

Use the boss-claw skill to make a critical decision by following the Lobster's Decision Stack.

Frequently Asked Questions about boss-claw

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

FAQPage Schema
How do I implement logic-first decision making for autonomous agents?

Autonomous agents use a logic-first decision-making framework to handle complex or time-sensitive situations, invoking structured reasoning via the Lobster's Decision Stack. This ensures robust reasoning and bias mitigation without relying on intuition.

What is the best way to mitigate cognitive bias in AI coordination?

Mitigating cognitive bias in AI coordination is best handled by employing a Munger Audit within the decision-making framework, which actively identifies and counteracts cognitive biases. This ensures agents make critical decisions with maximum rigor.

How do autonomous agents gather context for strategic reasoning?

Autonomous agents gather context for strategic reasoning using the Context Acquisition Protocol, which enables intelligent information gathering. This protocol feeds into the logic framework to inform complex operational adjustments and resource allocation.

Can I use a logic framework as a tie-breaker for multiple AI agents?

Yes, you can use this logic framework as a tie-breaker for multiple AI agents. When agents encounter a non-trivial decision conflict, the framework provides structured reasoning to resolve the issue with maximum rigor and minimal bias.

How does urgency management adapt decision-making speed for autonomous agents?

Urgency management adapts decision-making speed for autonomous agents by scaling the depth of reasoning based on temporal urgency. This allows the agent to balance rapid responses with comprehensive logical analysis during time-sensitive situations.