pose

Apply the P.O.S.E. Protocol to generate globally optimal solutions with verifiable metrics.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/brian-wijaya/dotfiles --skill pose
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: pose
Source: https://github.com/brian-wijaya/dotfiles/tree/main/.claude/skills/pose
Command: npx skills add https://github.com/brian-wijaya/dotfiles --skill pose

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

The P.O.S.E. Protocol provides a discipline for extracting intent, selecting execution paths, conducting rigorous analysis, and delivering solutions that are constrained, measurable, and defensible.

Core Features & Use Cases

  • Five-stances framework: Optimization, Constraint, Measurement, Justification, and Recommendation operate concurrently to force explicit trade-offs and measurable outcomes.
  • Adversarial reasoning: Assumes worst-case inputs and environment to ensure robust designs and failure tolerance.
  • Use Case: For a complex systems design question, apply the protocol to produce verifiable performance envelopes and a documented rationale with measurable trade-offs.

Quick Start

Provide a design question and specify the constraints; instantiate the P.O.S.E protocol to derive a quantified decision plan and measurable success criteria.

Frequently Asked Questions about pose

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

FAQPage Schema
How do I generate globally optimal solutions for complex systems design with verifiable metrics?

To generate globally optimal solutions with verifiable metrics, apply the P.O.S.E. Protocol to extract design intent, quantify constraints, conduct adversarial analysis, and deliver defensible decisions with explicit success criteria and measurable trade-offs.

What is the P.O.S.E. Protocol for decision-making and how does it handle trade-offs?

The P.O.S.E. Protocol is a decision-making discipline operating through five concurrent stances: Optimization, Constraint, Measurement, Justification, and Recommendation. It forces explicit trade-offs by requiring measurable outcomes and documented rationale for high-stakes questions.

How do I conduct adversarial analysis for engineering design assuming worst-case scenarios?

Conduct adversarial analysis for engineering design by assuming worst-case inputs and environments to ensure robust failure tolerance. This process generates verifiable performance envelopes and quantified decision plans with explicit provenance and success criteria.

When do I need to quantify constraints and measurable outcomes for high-stakes engineering questions?

You need to quantify constraints and measurable outcomes for high-stakes engineering questions when explicit trade-offs, provenance, and verifiable performance envelopes must be defended. This ensures robust designs tolerate worst-case scenarios and satisfy measurable success criteria.

How do I start using the P.O.S.E. protocol to derive a quantified decision plan?

To derive a quantified decision plan using the P.O.S.E. protocol, provide a design question and specify your constraints. The protocol instantiates to deliver verifiable solutions with documented rationale, explicit trade-offs, and measurable success criteria.