decision-bias-quality-control

Identify and quantify biases in high-stakes decisions with dual-track qualitative and quantitative scoring.

Updated Mar 3, 2026
One-click install
npx skills add https://github.com/TimLai666/skills --skill decision-bias-quality-control
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: decision-bias-quality-control
Source: https://github.com/TimLai666/skills/tree/main/decision-bias-quality-control
Command: npx skills add https://github.com/TimLai666/skills --skill decision-bias-quality-control

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This skill helps organizations ensure decision quality by applying a structured, bias-aware review that produces both qualitative insights and quantitative scores for major proposals, meetings, or coaching contexts.

Core Features & Use Cases

  • Dual-track outputs: qualitative bias diagnosis and numeric scoring.
  • Data sufficiency gate: handles incomplete inputs and suggests provisional decisions with clear risks.
  • Mode-specific outputs: proposal-go decisions, meeting facilitation scripts, or coaching recommendations.

Quick Start

Provide a structured input including decision_statement and decision_context; the skill will return dual-track outputs.

Frequently Asked Questions about decision-bias-quality-control

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

FAQPage Schema
How do I identify and quantify cognitive bias in high-stakes decision-making?

To identify and quantify bias in high-stakes decision-making, apply a structured dual-track evaluation that outputs qualitative bias diagnosis insights and quantitative weighted scores for proposal reviews and meetings.

What is a dual-track evaluation for decision quality control?

A dual-track evaluation for decision quality control simultaneously generates qualitative bias diagnoses and numeric weighted scores, providing a comprehensive risk assessment for critical proposal reviews and decision meetings.

How do I handle incomplete inputs when assessing decision bias?

To handle incomplete inputs when assessing decision bias, use a data sufficiency gate that evaluates missing information, suggests provisional decisions, and clearly outlines the key risks of proceeding with limited context.

Can I use bias quality checks for personal coaching and meeting facilitation?

Yes, you can use bias quality checks for personal coaching and meeting facilitation, as the evaluation generates mode-specific outputs including facilitation scripts and coaching recommendations tailored to the decision context.

What inputs are required to perform a bias-aware risk assessment for proposals?

Required inputs for a bias-aware risk assessment include a clear decision statement and decision context, while optional scoring factors can be added to refine the weighted scores and key risk outputs.