cognitive-biases

Analyze decision-making patterns to identify cognitive biases in product choices.

Updated Apr 17, 2026
One-click install
npx skills add https://github.com/Chris-Maskey/opencode-config --skill cognitive-biases-chris-maskey
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: cognitive-biases
Source: https://github.com/Chris-Maskey/opencode-config/tree/main/skills/cognitive-biases
Command: npx skills add https://github.com/Chris-Maskey/opencode-config --skill cognitive-biases-chris-maskey

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Help product teams recognize and apply cognitive biases to improve user decision-making, increase conversions, and prevent unethical or manipulative design patterns.

Core Features & Use Cases

  • Bias Reference Library: Concise definitions and product-focused examples for anchoring, loss aversion, availability, confirmation, planning fallacy, framing, sunk cost, social proof, and scarcity.
  • Analysis Framework: Step-by-step decision-point mapping, audit templates, and an output template to document findings and recommendations.
  • Ethics & Testing Guidance: Checklists and real-world examples to distinguish persuasive design from dark patterns and to validate changes through A/B testing.

Quick Start

Analyze the pricing page for anchoring and loss aversion and produce a prioritized list of ethical design improvements.

Frequently Asked Questions about cognitive-biases

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

FAQPage Schema
How do I identify cognitive biases affecting user decision-making in my product?

To identify cognitive biases in user decision-making, map user decision points across onboarding flows and pricing pages. This analysis reveals behavioral patterns like loss aversion or anchoring that influence product choices, helping you document findings using structured audit templates.

What is the difference between ethical persuasive design and dark patterns in UX?

Ethical persuasive design guides user choices without deception, whereas dark patterns exploit cognitive biases manipulatively. You can distinguish them using an ethics checklist that evaluates whether design improvements respect user autonomy during decision-point mapping.

How do I analyze a pricing page for anchoring and loss aversion biases?

Analyze a pricing page for anchoring and loss aversion by evaluating how price tiers and framing influence user behavior. Apply the analysis framework to map decision points, identify ethical risks, and produce a prioritized list of design improvements for A/B testing.

Can behavioral psychology principles be applied to improve onboarding flows ethically?

Yes, behavioral psychology principles can be applied to onboarding flows by analyzing cognitive biases at each decision point. This identifies ethical risks and improvement opportunities, generating design recommendations that enhance retention strategies without resorting to manipulative patterns.

What's the best way to audit conversion optimization strategies for cognitive bias risks?

The best way to audit conversion optimization for cognitive bias risks involves using a structured analysis framework to map decision points and apply an ethics checklist. This process distinguishes persuasive design from dark patterns and validates improvements through A/B testing.