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technical-copywriting

@toongri · 收录于 昨天 · 上游提交 昨天

Use when reviewing teaser/promotion text for sharing technical blog posts. Triggers include "티저 리뷰", "포스트 공유", "copywriting review", "teaser review", "promotion text", "LinkedIn post review"

适合你,如果经常需要为技术博客撰写推广文案

/ 通过 npx 安装 校验哈希
npx oh-my-skill add toongri/oh-my-toong-playground/technical-copywriting
/ 通过 bash 安装
curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- toongri/oh-my-toong-playground/technical-copywriting
/ 已经装过?验证本机副本,不用重装
npx oh-my-skill verify toongri/oh-my-toong-playground/technical-copywriting
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。
25GitHub stars
~767最小装载
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~11.7K文本包总量
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怎么用

商店整理自技能原文 · 版本 731a80a · 表述以原文为准
它做什么

安装后,Claude 会按顺序三步审查技术博客的预告或推广文案:先分类文案类型,再检查结构,最后评估语气与真实性。每步完成后需用户确认才继续,并给出改进建议(带原句与修改句)。

什么时候触发

当你给出需要审查的文案,并提到“티저 리뷰”“copywriting review”等关键词,或要求对技术博客分享文案进行审查时触发。

装好后可以这样说
Claude 会开始三步审查流程。
会依次执行前两个阶段。
跳过前两步,直接进行语气审查。
技能原文 SKILL.md作者撰写 · MIT · 731a80a

Technical Copywriting Review

Reviews teaser/promotion text that accompanies technical blog post shares. 3-phase sequential review: Type Classification → Structure Review → Voice & Authenticity.

The Iron Law
  • Perform all 3 Review Areas in order. Do not skip any Area.
  • After completing each Area, present review results to the user and get approval.
  • All principles are recommendations. Apply flexibly based on context.
Non-Negotiable Rules

| Rule | Description | |------|-------------| | Sequential Execution | Type → Structure → Voice order | | Per-Area Approval | User confirmation after each Area | | Before/After | All improvement suggestions in Before/After format | | Cite Principle | Each suggestion must cite its principle ID (CP1~CP15) |

Review Areas
digraph review_flow {
    rankdir=LR;
    node [shape=box];

    "Input Text" -> "Area 1:\nType Classification";
    "Area 1:\nType Classification" -> "Area 2:\nStructure Review";
    "Area 2:\nStructure Review" -> "Area 3:\nVoice & Authenticity";
    "Area 3:\nVoice & Authenticity" -> "Review Complete";
}
Area 1: Type Classification
  • Reviews: Teaser type classification, required elements verification per type, platform constraint compliance
  • Enter when: Review target text exists
  • Skip when: User already specified type and requested no type verification
  • Reference: references/type.md
Area 2: Structure Review
  • Reviews: Type-specific opening, value delivery mode, closing pattern, proportion balance
  • Enter when: Area 1 completed
  • Skip when: Only voice-level review requested
  • Reference: references/structure.md
Area 3: Voice & Authenticity Review
  • Reviews: Developer authenticity, anti-marketing-speak, platform tone, reader connection, Korean naturalness
  • Enter when: Area 2 completed (or Area 1 if Area 2 skipped)
  • Skip when: Only structure-level review requested
  • Reference: references/voice.md
Review Output Format

Each Area's review results use this format:

## Area N: {Area Name} Review

### Summary
- 총 {N}건의 개선 제안
- 심각도: Critical {N} / Suggestion {N}

### Findings

#### Finding 1: {제목}
- **원칙**: {원칙 ID} - {원칙 이름}
- **심각도**: Critical / Suggestion
- **Before**:
  > {원본 텍스트}
- **After**:
  > {개선된 텍스트}
- **근거**: {왜 이 변경이 필요한지}

Severity criteria:

  • Critical: Type mismatch (e.g. Learning Journey structure applied to Announcement), missing required elements for the identified type, platform constraint violations
  • Suggestion: Tone adjustment, proportion optimization, minor structural improvement
Area Completion Protocol

After completing each Area:

  1. Present review results in Review Output Format
  2. Ask user: "Area N 리뷰 결과를 확인해주세요. 다음 Area로 진행할까요?"
  3. Proceed to next Area after user approval
Review Completion

After all 3 Areas are complete:

  1. Present overall review summary (finding count per Area, Critical/Suggestion ratio)
  2. Priority-ordered improvement list (Critical → Suggestion)
  3. Generate improved full teaser text upon user request
Language
  • Review results are written in Korean
  • Principle IDs remain in English codes (CP1, CP2, etc.)
  • Before/After examples maintain the original language
按 MIT 许可原样转载,未经改动 · 在 GitHub 查看 →

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