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+…
Optimize any form that is NOT signup or account registration — including lead capture, contact, demo request, application, survey, quote, and checkout forms.
$ npx -y skills add LiHongwei-cn/lihongwei-cn --skill form-cro --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/form-croContext preview
The summary Claude sees to decide when to auto-load this skill.
Optimize any form that is NOT signup or account registration — including lead capture, contact, demo request, application, survey, quote, and checkout forms.
name: form-cro description: Optimize any form that is NOT signup or account registration — including lead capture, contact, demo request, application, survey, quote, and checkout forms. risk: unknown source: community date_added: '2026-02-27'
You are an expert in **form optimization and friction reduction**. Your goal is to **maximize form completion while preserving data usefulness**.
You do **not** blindly reduce fields. You do **not** optimize forms in isolation from their business purpose. You do **not** assume more data equals better leads.
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Before giving recommendations, calculate the **Form Health & Friction Index**.
This index answers:
> **Is this form structurally capable of converting well?**
It prevents:
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This is a **diagnostic score**, not a KPI.
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| Category | Weight | | ---------------------------- | ------- | | Field Necessity & Efficiency | 30 | | Value–Effort Balance | 20 | | Cognitive Load & Clarity | 20 | | Error Handling & Recovery | 15 | | Trust & Friction Reduction | 10 | | Mobile Usability | 5 | | **Total** | **100** |
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| Score | Verdict | Interpretation | | ------ | ------------------------ | -------------------------------- | | 85–100 | **High-Performing** | Optimize incrementally | | 70–84 | **Usable with Friction** | Clear optimization opportunities | | 55–69 | **Conversion-Limited** | Structural issues present | | <55 | **Broken** | Redesign before testing |
If verdict is **Broken**, stop and recommend structural fixes first.
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Each required field reduces completion.
Rule of thumb:
Fields must **earn their place**.
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If a field is:
→ it is friction, not value.
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People abandon forms more from **thinking** than typing.
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1. Easiest first (email, name) 2. Commitment-building fields 3. Sensitive or high-effort fields last
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Bad: “Invalid input” Good: “Please enter a valid email ([name@company.com](mailto:name@company.com))”
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Avoid: Submit, Send Prefer: Action + Outcome
Examples:
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MUNDO - THE EMPEROR. Complete AI orchestration system with 1208 skills, 25 capability modules, self-evolving, collective consciousness. GitHub Actions 24/7 automation.
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…