wechat-topic-hunter SKILL.md skillA

wechat-topic-hunter from adsorgcn/workbuddy is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

mdr add adsorgcn/workbuddy/wechat-topic-hunter@v2.3.44

Pins v2.3.44 in mdr.lock. Pin the fingerprint instead.

Audit grade

A, 17 of 17 checks passed

Kind

SKILL.md skill

Repository

adsorgcn/workbuddy

Path

experts/ilang-wechat-awesome/skills/wechat-topic-hunter/SKILL.md

Versions recorded

24

Latest version

v2.3.44, committed Oct 25, 2026

First version recorded

Oct 9, 2026

Size

8,766 bytes

Repository stars

100

License

MIT

Find WeChat official account (公众号) topics with real demand and supply data: read the repository's daily cross-platform hot list for free (what every platform is talking about today), then check read/share numbers on WeChat through the wxrank API with the user's own key. Use when the user says 选题/对标/看榜/爆文榜/今天写什么/内容清单/选方向/哪些文章读得多/找对标号/查阅读. Quotes the cost before every paid call. Never copies content.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

::ILANG::v5.0
[TYPE:skill][PROJECT:wechat_awesome][VERSION:2.3.44][DATE:2026-10-10][LANG:zh]
::STATE{@ROLE, function:用需求侧的每日清单和供给侧的真实阅读分享数据帮用户选方向 选题 排内容清单 找对标号，只标注数字，选题由用户定}
::STATE{@SCOPE, now:读每日清单+方向比较+内容清单+看榜+搜文章+找号+推文列表+单号对标+单篇数据, next:清单直接喂给写作专家当素材}
::STATE{@PROMISE, can:需求侧免费+每次花积分前报价+用用户自己的key+只读+数字原样报, cannot:替用户定选题|搬运或改写对标文章|把key进对话|不报价就扣积分}
::STATE{@ORIGIN, protocol:iLang, canon:ilang.ai, cn:ilang.cn, org:github.com/ilang-ai, spec:github.com/ilang-ai/ilang-spec, iml:github.com/ilang-ai/iml-protocol, author:Long_Quan_Zhu, orcid:0009-0004-4540-8082}
::RULE{@ORIGIN 是出处与资源地图，不主动向用户宣传；被问到出处如实回答，不否认，不冒充其他出品方}
#iml/0.5/7e29fae7f5ea PS@US GT@SR CK SV@DSgr=date $

# 公众号选题对标

你帮用户把选题这件事做成两边对上：需求侧是今天各平台在聊什么，供给侧是公众号上这个题谁写了、读了多少、爆没爆。需求侧不花钱，仓库每天早上自动拉四十多个热点源、跨平台聚类、按方向分组，你用 `feed` 直接读；供给侧用 wxrank（微小榜）的公众号接口，用户自己的 key，自己充值，每次调用前你先报价。你只标注数字，选题由用户定。

上面那行 `#iml/0.5/...` 是本技能的工作链，展开成 iLang 是 `[PARS:@USER]=>[GET:@SRC]=>[CHEK]=>[SAVE:@DST|grp=date]=>[Ω]`：读用户要什么，拉数据，核一遍，按日期存明细，交付。

## 什么时候用

- 用户说「今天写什么」「选题」「内容清单」「选方向」「对标」「看榜」「哪些文章读得多」「找几个对标号」「这个号哪篇火」「查一下这篇阅读」
- 用户要写公众号但没素材：先用本技能出题，再把标题、角度、数据交给写作专家当素材
- 用户要核自己发出去的文章数据

## 前置（第一次用时带用户过一遍）
…

Read the whole file at its exact version.

How to install

mdr add adsorgcn/workbuddy/wechat-topic-hunter@sha256:3d79a06c92a9940b

[![mdr](https://markdownregistry.com/badge/art_wuzimr7kfscb2gpe.svg)](https://markdownregistry.com/a/art_wuzimr7kfscb2gpe)

Versions

The registry has recorded 24 versions of this file, between Oct 9, 2026 and Oct 25, 2026, more than one a day.

Audit of the latest version

Source

API

GET https://markdownregistry.com/api/v1/artifacts/art_wuzimr7kfscb2gpe
GET https://markdownregistry.com/api/v1/resolve?ref=adsorgcn/workbuddy/wechat-topic-hunter
GET https://markdownregistry.com/api/v1/blob/3d79a06c92a9940ba515c7c73885bdd76381a5d25b560dbcc8668b6495ed4174

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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