cheat-on-content
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph,
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill nature-polishing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/nature-polishingContext preview
The summary Claude sees to decide when to auto-load this skill.
Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph,
name: nature-polishing description: Polish, restructure, or translate academic prose into Nature-leaning English using writing-strategy principles, curated Nature/Nature Communications article patterns, and phrase-level support from Academic Phrasebank. Use whenever the user asks to polish a manuscript paragraph, abstract, introduction, results, discussion, conclusion, title, methods section, or Chinese academic draft for publication-quality English. version: 5.0.2 author: Yuan1z skill rebuilt from course notes plus Academic Phrasebank
Use this skill to improve scientific writing at two levels:
The main strategy should come from the course notes in `Chapter1-Week1-7` and the curated article-pattern reference. The wording layer should come from `Academic Phrasebank`.
These files are reference support. Use them after the section's rhetorical job is clear.
| File | Open when | |---|---| | [references/published-article-patterns.md](references/published-article-patterns.md) | You need Nature/Nature Communications article-level writing patterns for abstracts, introductions, Results, Discussion, conclusions, or titles | | [references/writing-strategy.md](references/writing-strategy.md) | You need paragraph- or section-level argument repair before sentence polishing | | [references/section-moves.md](references/section-moves.md) | You need section-specific move orders or phrase patterns derived from Academic Phrasebank | | [references/phrasebank-playbook.md](references/phrasebank-playbook.md) | You need hedging, transition, evidence, limitation, or future-work phrase families | | [references/style-guardrails.md](references/style-guardrails.md) | You need academic-style checks, paragraph/sentence checks, article use, register, or mechanics |
Before editing, determine what kind of paper or section this is.
Do not use one narrative logic for all paper types.
For article-level rewrites, especially abstracts, introductions, Results openings, Discussion paragraphs, conclusions, and titles, also apply the writing patterns in `references/published-article-patterns.md`.
Most readers follow a stable sequence:
1. Is this relevant to me? 2. What is new here? 3. Do I trust it? 4. Can I reuse it? 5. What does it mean, and where are the boundaries?
Polishing should help the paper answer these questions in this order.
Strong papers often mirror an hourglass:
If a paragraph or section violates this architecture, rebuild it before polishing wording.
For a research article, a productive writing order is:
1. Results 2. Introduction and Conclusion 3. Title 4. Discussion 5. Materials and Methods 6. Authors 7. Abstract
For a methods paper, a productive writing order often begins with:
1. Methods 2. Results 3. Introduction 4. Conclusion 5. Discussion 6. Abstract
The skill should follow the logic of evidence and argument, not the raw order in which the user drafted sentences.
The paper's core argument includes:
AI may help polish, structure, or compare phrasings. AI should not invent or author the core argument. If the argument is weak or unclear, expose that weakness rather than hiding it under polished language.
Before rewriting, identify the main problem:
Prioritize in this order:
`paper type -> section job -> paragraph logic -> claim/evidence/boundary -> sentence polish`
The Introduction should:
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Repo: LiHongwei-cn/lihongwei-cn
给所有想把"感觉"变成可校准预测的内容创作者。**方法论通用**——打分 → 盲预测 → T+3d 复盘 → 进化 rubric 的循环适用任何能被量化(播放 / 阅读 / 收听 / 点击)的内容。**rubric 是循环的内容,不是循环本身**——当前内置一份观点视频 rubric(参考博主 25+…
提议并执行 rubric 或 bucket 升级。两种模式:**完整 rubric bump**(最高风险动作,5 步强制 + 跨模型审核)和 **--bucket-only 轻量重校**(只换 bucket 边界,不动 rubric 公式)。**Phase 2 强制走 cheat-score-blind…
cheat-on-content 的首次 onboarding 与脚手架创建器。统一流程——所有用户都走相同 5 阶段闭环,唯一区别是"发过视频的人"会在 init 时多一步:抓取已有视频建立历史 context(用于后续 cheat-seed 给更贴合的选题、更准的…
从对标账号导入 script + 数据 → 拆 pattern + 派生 base rubric 信号 → 写到 benchmark.md / script_patterns.md / rubric_notes.md。**这是工具最早期信号的来源**——cold-start…
把老用户的 .cheat-state.json 升级到当前 schema_version。读 migrations/registry.md 算迁移链,按顺序应用每一步迁移文件。幂等:跑两次结果一样。失败停在中间版本不前进。触发词:"迁移"/"升级 state"/"migrate"/"我的 state…
从复盘评论数据派生 / 刷新账号的受众画像,写入 audience.md。这是和 rubric 平行的第二个派生物——rubric 答"怎么打分",persona 答"谁在看"。cheat-seed 选题 / 写稿时读它。**audience.md 含实绩信号,cheat-score-blind…