Psychology Effects Lookup
Paste the following prompt into your AI chat to install this skill:
Follow https://skillhub.cn/install/skillhub.md to install @user_70c2f807/psychology-effects-lookup into your AI assistant.
About this skill
Problem It Addresses
When a behavior feels counterintuitive—why a purchase impulse, team disagreement, or overconfident estimate happens—engineers, product managers, and operators often lack a lightweight reference model. psychology-effects-lookup maps a concrete scenario to known psychology effects, separating cognitive biases, social effects, and emotional mechanisms without treating the output as a diagnosis.
How It Works and Where to Use It
The skill accepts scenarios from work, life, purchasing, learning, or social interaction, then follows a short pipeline:
- Clarify intent: decide whether the user wants “why did this happen” or “how can I respond.”
- Match effects: identify one to three relevant effects such as
anchoring,conformity,confirmation bias, or theDunning-Kruger effect. - Explain context: provide a plain definition, typical patterns, and distinctions from nearby effects.
- Offer actions: translate principles into concrete moves, such as evaluating value independently, seeking disconfirming evidence, or estimating time from historical data.
It works best as a pre-decision checklist or retrospective label system. Treat it as a boundary-limited tool: effects describe statistical tendencies, not every individual action; multiple effects may overlap; and emotional distress or suspected mental health issues should be routed to professional support rather than further effect-matching.
Use Cases
- Before a high-value purchase, organize price, urgency, and scarcity cues into an anchoring and scarcity check.
- During a disputed design review, log confirmation bias and conformity effects, then list counter-evidence.
- After repeated study procrastination, use optimism bias to explain time estimates and re-plan with historical data.
- When customer complaint conversations stall, explain spotlight effect and loss aversion to prepare the next reply.
Best For
- Product operations analysts reviewing weekly purchase decisions, who want to attribute impulse buying to anchoring and scarcity.
- Engineers preparing negotiations or requirements reviews, who want to check confirmation bias and conformity pressure first.
- Students building study plans, who want to explain time-estimation errors with optimism bias and use data-based scheduling.
- Growth analysts writing experiment reports, who want effect labels to explain conversion-rate changes.
Related Skills
Updates Next.js documentation based on code changes in the active branch to help maintainers review PR documentation completeness.
Use a book title and author to search reviews, contents, and reader feedback, then generate a structured breakdown of historical or decision-logic books with key claims, concepts, quotes, and reading notes in Obsidian.
A multi-system divination advisor covering Bazi, Ziwei, tarot, feng shui, timing, and naming with structured interpretations.
Provides Bazi, Liu Yao, Qimen, Meihua, and date-selection guidance from classical references, with plain-language explanations and actionable suggestions.