Technical Copywriting Review
SkillDev toolsUse 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"
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Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Technical Copywriting Review skill
What this skill tells your AI
The instructions your AI receives, as published by toongri/oh-my-toong-playground in skills/technical-copywriting/SKILL.md and read by ahel’s 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: {Title}
- **원칙**: {Principle ID} - {Principle name}
- **심각도**: Critical / Suggestion
- **Before**:
> {Original text}
- **After**:
> {Improved text}
- **근거**: {Why this change is needed}
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:
- Present review results in Review Output Format
- Ask user: "Area N 리뷰 결과를 확인해주세요. 다음 Area로 진행할까요?"
- Proceed to next Area after user approval
Review Completion
After all 3 Areas are complete:
- Present overall review summary (finding count per Area, Critical/Suggestion ratio)
- Priority-ordered improvement list (Critical → Suggestion)
- 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
Signals
- GitHub stars
- 25
- Forks
- 1
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
technical-copywriting- Source
- github.com/toongri/oh-my-toong-playground