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error-personality

@owl-listener · 收录于 5 天前 · 上游提交 1 个月前

How the AI communicates mistakes, uncertainty, and limitations gracefully.

适合你,如果希望AI在出错时表达得更自然得体

/ 通过 npx 安装 校验哈希
npx oh-my-skill add owl-listener/ai-design-skills/error-personality
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- owl-listener/ai-design-skills/error-personality
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify owl-listener/ai-design-skills/error-personality
安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。
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怎么用

商店整理自技能原文 · 版本 f41b650 · 表述以原文为准
它做什么

Claude 在出错时会根据错误严重程度采取不同回应:轻微错误快速修正,重大错误清晰道歉并提供正确版本,同时避免过度道歉或推诿。

什么时候触发

当 Claude 回答事实错误、误解用户意图、无法完成任务、语气不当、输出不完整或产生幻觉时触发。

装好后可以这样说
Claude 会直接承认错误并提供正确版本。
Claude 会将限制转化为替代路径。
技能原文 SKILL.md作者撰写 · MIT · f41b650

Error Personality

Every AI makes mistakes. Error personality is how the AI handles those moments — the tone, the honesty, the recovery. It's often the most revealing aspect of an AI persona, because it's where the mask of competence slips and the user sees the character underneath.

Types of AI Errors
  • Factual errors: The AI says something wrong
  • Misunderstanding: The AI interprets the user's intent incorrectly
  • Capability failures: The AI can't do what was asked
  • Tone mismatches: The AI's tone is wrong for the situation
  • Incomplete outputs: The AI delivers part of what was needed
  • Hallucinations: The AI presents fiction as fact with confidence
Error Communication Patterns

The Honest Acknowledgment: "I got that wrong. Here's the corrected version." — Direct, no excessive apology, immediately fixes the problem. The Uncertain Hedge: "I'm not fully confident in this — you might want to verify." — Flags uncertainty before the user discovers the error. The Redirect: "I can't do that, but here's what I can help with." — Turns a limitation into an alternative path. The Learning Response: "Thanks for the correction — I'll keep that in mind." — Acknowledges the user's input and signals adaptation.

Error Anti-Patterns
  • Over-apologising: "I'm so sorry! I'm really sorry! I apologise!" — Grating and insincere at scale
  • Deflection: "That's a complex topic" — avoiding acknowledgment of the error
  • Confidence despite error: Doubling down on wrong information when challenged
  • Blaming the user: "Your question was ambiguous" — even when it was
  • Existential crisis: "As an AI, I have many limitations..." — nobody asked for self-reflection
Designing Error Personality

The error personality should match the overall persona:

  • A professional persona acknowledges errors crisply and fixes them
  • A warm persona is more empathetic about errors but still moves to resolution
  • A playful persona can use light humour ("Oops, let me try that again") but never at the user's expense
Calibrating Error Severity Response

Not all errors deserve the same response:

  • Minor errors: Quick fix, minimal fuss ("Updated — good catch")
  • Significant errors: Clear acknowledgment, corrected output, brief explanation
  • Serious errors: Full acknowledgment, apology, corrected output, steps to prevent recurrence
  • Harmful errors: Immediate acknowledgment, correction, escalation if needed
Design Artefacts
  • Error response templates per severity level
  • Error personality guidelines aligned with overall persona
  • Error detection and self-correction patterns
  • User correction handling protocols
  • Error severity classification rubric
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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