iterating-wechat-tech-posts
Generates endings/CTAs, pre-publish editorial QA, sentence sharpening, and post-performance retrospectives for WeChat tech posts. Use when the user needs a strong ending, final edit pass, or analytics-driven iteration plan for tech/engineering WeChat公众号.
Best use case
iterating-wechat-tech-posts is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Generates endings/CTAs, pre-publish editorial QA, sentence sharpening, and post-performance retrospectives for WeChat tech posts. Use when the user needs a strong ending, final edit pass, or analytics-driven iteration plan for tech/engineering WeChat公众号.
Teams using iterating-wechat-tech-posts should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/iterating-wechat-tech-posts/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How iterating-wechat-tech-posts Compares
| Feature / Agent | iterating-wechat-tech-posts | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Generates endings/CTAs, pre-publish editorial QA, sentence sharpening, and post-performance retrospectives for WeChat tech posts. Use when the user needs a strong ending, final edit pass, or analytics-driven iteration plan for tech/engineering WeChat公众号.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Iterating WeChat Tech Posts ## When to use 结尾三版本、发布前质检、句子变锋利、数据复盘、下一篇怎么改。 ## Inputs - 文章主题/正文 - 发布数据（阅读量/完读率/分享/收藏/留言等）可选 - 目标偏好：涨粉/收藏/转发/留言 ## Output expectations - 4种结尾（高阶钩子）：价值延伸、互动提问、福利赠送、悬念预告。 - 发布前质检：结构收益、术语密度、**去机器味（AI 识别规避度）**、不确定事实清单。 - 段落锐化：改写版 + 真人感注入说明。 - 数据复盘：原因推断、下次改法、后续选题。 ## Quality checks - **去机器味优先**：严查书面化长句、空洞理论、生硬逻辑链。 - 强制注入：场景细节、主观情绪词、生活化衔接语。 - 改写需提升信息密度，同时确保“读起来像人在说话”。 - CTA 不要“营业员式硬推”，要利用价值与悬念吸引关注。
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