My-opencode-config cognitive-biases
Cognitive Biases - Psychology for Product Design
install
source · Clone the upstream repo
git clone https://github.com/flpbalada/my-opencode-config
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/flpbalada/my-opencode-config "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/cognitive-biases" ~/.claude/skills/flpbalada-my-opencode-config-cognitive-biases && rm -rf "$T"
manifest:
skills/cognitive-biases/SKILL.mdsource content
Cognitive Biases - Psychology for Product Design
Understanding psychological patterns that influence human decision-making, first systematically studied by Kahneman and Tversky. Essential for creating user experiences that work with human psychology.
When to Use This Skill
- Designing user onboarding flows
- Improving conversion rates ethically
- Analyzing why users behave unexpectedly
- Reviewing designs for dark patterns
- Planning pricing and positioning strategies
- Understanding decision-making in user research
Core Biases at a Glance
| Bias | What It Is | Application |
|---|---|---|
| Anchoring | First info becomes reference point | Show premium prices first |
| Loss Aversion | Losses feel 2x stronger than gains | Frame as "losing" vs "missing" |
| Availability | Overestimate what's easy to recall | Show success stories, social proof |
| Confirmation | Seek info confirming beliefs | Personalize onboarding |
| Planning Fallacy | Underestimate task duration | Give realistic time estimates |
| Framing Effect | Presentation changes perception | Use positive framing |
| Sunk Cost | Invest based on past costs | Highlight accumulated value |
| Social Proof | Look to others for guidance | Show testimonials, usage stats |
| Scarcity | Value rare things more | Use genuine limited offers |
Progressive Disclosure
| Topic | File | When to Use |
|---|---|---|
| All 9 core biases | context/core-biases.md | Deep dive into each bias with examples |
| Analysis framework | context/analysis-framework.md | Systematic analysis of user decisions |
| Ethics & examples | context/examples-ethics.md | Real-world examples and dark patterns |
Ethical Framework
Before applying a bias, ask: 1. Is this helping the user? → STOP if NO 2. Would I be comfortable if exposed? → STOP if NO 3. Does this create long-term value? → STOP if NO 4. Would this work on an informed user? → YES (persuasion) / NO (manipulation)
Quick Reference
Acquisition: ├── Social Proof → "Join 50,000+ users" ├── Anchoring → Show premium first └── Scarcity → "Limited beta access" Activation: ├── Commitment → Small first steps ├── Planning Fallacy → Realistic estimates └── Loss Aversion → Show progress at risk Retention: ├── Sunk Cost → "Your history, connections" ├── Confirmation → Personalized experience └── Social Proof → "Your team uses this"