Mine the user's history of rejecting, rewriting and redoing AI output, and distil the implicit standards behind those rejections into a reusable Taste Profile — a 1-5 rubric in Markdown plus a JSON variant for an evaluator agent's grading prompt. Use it when the user keeps rewriting AI output and wants the standard written down: 「幫我把我改 AI 稿的標準整理成一份 rubric」, 「我每次都要重寫 AI 的東西,幫我找出我的標準」, "distil my taste into a profile", "turn my edits into a style rubric", "why do I keep rejecting this — write the rule down". It runs as an interview through rejection-grade-explain cycles and refuses abstract feedback like 「感覺怪怪的」 or 「太 AI 味」 without the specific phrase or structural choice that triggered it. Do NOT invoke to generate content in the user's style, to clean AI-isms out of a specific draft, or to define a goal for an agent run.
Install with
Claude CodeCodexCursorGitHub CopilotGemini CLI
Supported by the Atlas install prompt. Skill-specific requirements vary.
Skill stats
Skills1CategoryGeneralStars0
About this skill
Mine the user's history of rejecting, rewriting and redoing AI output, and distil the implicit standards behind those rejections into a reusable Taste Profile — a 1-5 rubric in Markdown plus a JSON variant for an evaluator agent's grading prompt. Use it when the user keeps rewriting AI output and wants the standard written down: 「幫我把我改 AI 稿的標準整理成一份 rubric」, 「我每次都要重寫 AI 的東西,幫我找出我的標準」, "distil my taste into a profile", "turn my edits into a style rubric", "why do I keep rejecting this — write the rule down". It runs as an interview through rejection-grade-explain cycles and refuses abstract feedback like 「感覺怪怪的」 or 「太 AI 味」 without the specific phrase or structural choice that triggered it. Do NOT invoke to generate content in the user's style, to clean AI-isms out of a specific draft, or to define a goal for an agent run.
Quick start
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Mine the user's history of rejecting, rewriting and redoing AI output, and distil the implicit standards behind those rejections into a reusable Taste Profile — a 1-5 rubric in Markdown plus a JSON variant for an evaluator agent's grading prompt. Use it when the user keeps rewriting AI output and wants the standard written down: 「幫我把我改 AI 稿的標準整理成一份 rubric」, 「我每次都要重寫 AI 的東西,幫我找出我的標準」, "distil my taste into a profile", "turn my edits into a style rubric", "why do I keep rejecting this — write the rule down". It runs as an interview through rejection-grade-explain cycles and refuses abstract feedback like 「感覺怪怪的」 or 「太 AI 味」 without the specific phrase or structural choice that triggered it. Do NOT invoke to generate content in the user's style, to clean AI-isms out of a specific draft, or to define a goal for an agent run.
About this listing
Category
General
Reported license
MIT
Listing language (estimated)
English
Review status
Not individually reviewed
Agent compatibility
Atlas installation supports Claude Code, Codex, and Cursor. Skill-specific dependencies and features are checked during setup.