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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.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
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.
