WA

    公众号文章精简 · WeChat Article Trimmer

    1

    在不丢核心信息的前提下压缩公众号文章:删冗余、拆长句、提观点。 Tighten WeChat articles without losing core information: remove redundancy, shorten long sentences, and sharpen the point.

    $7

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    Works with the AI tools you already use

    Claude CodeClaude CodeCursorCursorCodex CLICodex CLIGitHub CopilotGitHub CopilotGemini CLIGemini CLI+20 more
    WA

    公众号文章精简 · WeChat Article Trimmer

    Example session with this skill installed

    请把这篇 1800 字的公众号草稿精简到 1000 字以内,保留三个核心观点和原文语气。

    • Read your context and instructions
    • Compiled the wechat article trimmer

    公众号文章精简完成(1800 → 980 字)。

    精简说明

    • 开头结论前移,前 3 句点明主题
    • 删除 4 处重复论证
    • 6 个长段拆成 9 个小节
    • 保留数据与案例,裁掉铺垫

    核心观点

    1. AI 工具降本,但流程先于工具。
    2. 小团队应先自动化高频重复环节。
    3. 每周复盘一次工具链成本。

    Next steps

    1. 标题同步改成 16 字以内的利益点。
    2. 配 3 张小节配图。
    3. 发布前再通读一遍语气。

    Connects securely to your tools. The creator never sees your data.

    What you get

    Reduce long WeChat drafts while preserving core messaging.Convert rough meeting notes into polished public articles.Create scannable, structured content for partner reposts.Generate bilingual terminology tables for translated content.

    About this skill

    它解决什么问题

    微信草稿会变得很长,充满填充物、重复的要点和隐藏的线索,因此读者在核心信息落地之前就离开了。

    这个技能做什么

    • 删除多余的句子和重复的例子。
    • 将要点移至顶部。
    • 将长段落拆分为可扫描的部分。
    • 返回更改内容的字数报告。

    为什么比裸提示词强

    它应用了固定的修剪规则集:引导、删除、拆分、收紧,因此结果保留了事实和声音,而不是成为平淡的总结。

    典型用例

    • 将 2000 字的草稿削减为 1200 字。
    • 将会议记录变成公开文章。
    • 为合作伙伴帐户准备转发。

    局限

    它保留了内容的含义,但最终的品牌基调仍然值得人工通过。


    English · 英文介绍

    The problem

    WeChat drafts grow long with filler, repeated points, and buried leads, so readers leave before the core message lands.

    What it does

    • Cuts redundant sentences and repeated examples.
    • Moves the main point to the top.
    • Splits long paragraphs into scannable sections.
    • Returns a word-count report of what changed.

    Why this beats prompting it yourself

    It applies a fixed trimming rule set: lead, delete, split, tighten, so the result keeps facts and voice instead of becoming a bland summary.

    Use cases

    • Cutting a 2000-word draft to 1200 words.
    • Turning meeting notes into a public article.
    • Preparing a repost for a partner account.

    Known limitations

    It preserves your content's meaning, but final brand tone still deserves a human pass.

    How to install

    Works the same in every agent - Claude, Cursor, Codex, Copilot and 20+ more.

    ~30 seconds
    1. 1

      Download the ZIP

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    2. 2

      Unzip into your skills folder

      Every agent reads skills from one folder on your machine. Drop the unzipped folder in there.

    3. 3

      Ask your agent to use it

      Restart the agent if it was already running. It picks the skill up automatically - no config needed.

    Skills folder by agent

    Click the path to copy it. Create the folder if it does not exist yet.

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