菜单
Use when assessing self-knowledge, team dynamics, personal strengths/weaknesses, "how do others see this", or when someone is confident about themselves without external input. Applies the Johari Window (Luft & Ingham, 1955) to locate what others see that you cannot.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
Use when tempted to say "I'm being objective", when attributing others' views to bias while trusting your own introspection, or after learning about a bias and concluding it doesn't apply to you. Applies Pronin, Lin & Ross (2002) — the bias blind spot and the introspection illusion.
Use when stating confidence ("I'm sure", "definitely", "99%"), giving confidence intervals, making probabilistic claims, or reviewing a track record of predictions. Applies overconfidence calibration research (Lichtenstein & Fischhoff; Alpert & Raiffa) — subjective certainty systematically exceeds accuracy.
Use before deleting code, removing a check, simplifying a process, dropping a config flag, or removing anything that "serves no purpose" — especially in unfamiliar or legacy systems. Applies Chesterton's Fence (G.K. Chesterton, 1929): don't remove it until you know why it's there.
Use when evidence seems to confirm an existing belief, when research keeps agreeing with the hypothesis, when interpreting ambiguous data, or when a first explanation feels satisfying. Applies Lord, Lepper & Preston (1984) — the one debiasing instruction shown to work: consider the opposite.
Use when writing docs, error messages, onboarding, tutorials, API designs, UX copy, or teaching — or when something you built seems self-explanatory. Applies the curse of knowledge (Camerer, Loewenstein & Weber 1989; Newton's tappers-and-listeners 1990): expertise makes you unable to simulate not-knowing.
Use when operating in an unfamiliar domain, when something "looks right" but hasn't been verified, when confidence is high without external checks, or when evaluating one's own competence at a task. Applies Kruger & Dunning (1999) — the skills needed to perform are the skills needed to judge performance.
| name | blind-johari-window |
| description | Use when assessing self-knowledge, team dynamics, personal strengths/weaknesses, "how do others see this", or when someone is confident about themselves without external input. Applies the Johari Window (Luft & Ingham, 1955) to locate what others see that you cannot. |
Joseph Luft & Harrington Ingham (1955): all knowledge about a person (or project, or codebase) splits on two axes — known/unknown to self × known/unknown to others — giving four quadrants:
| Known to self | Unknown to self | |
|---|---|---|
| Known to others | Open (Arena) | Blind Spot |
| Unknown to others | Hidden (Façade) | Unknown |
The Blind quadrant can only shrink one way: feedback from others. No amount of introspection moves it. The Unknown quadrant shrinks only through new shared experience (trying things neither party has seen).
For an AI agent, "others" = the user, tests, runtime output, logs, a second reviewer. Any claim about how output will be received (readability, clarity, usefulness) sits in the Blind quadrant until an external source confirms it.
