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Skill Algorithm Updates

OrganizationPopular
ZJU-REAL
skill-algorithm-updates

追踪抖音、小红书、B站、微博、知乎和视频号的算法、推荐分发、审核与变现规则变化,并分析对创作者的影响。 当用户说“算法/推荐机制变了吗、流量规则更新、为什么流量下降、平台规则变化”时使用。 内容热点用 skill-trending-topics;泛行业资讯用 skill-news-intelligence;本 SKILL 只看平台机制。

Overview

PublisherZJU-REAL
RepositoryEasel
Skill nameskill-algorithm-updates
Stars
1.2K
Forks
175
Bundled files
3
LicenseApache-2.0
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 3 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by ZJU-REAL on GitHub. Read the source before you install it.

Installation

Install the Skill Algorithm Updates AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/ZJU-REAL/Easel.git /tmp/Easel
mkdir -p .claude/skills
cp -r /tmp/Easel/skills/openclaw/skill-algorithm-updates .claude/skills/skill-algorithm-updates
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Skill Algorithm Updates in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Skill Algorithm Updates on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Skill Algorithm Updates is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

平台算法动态追踪

聚合中文社媒平台的算法更新、推荐机制变化与流量规则调整,输出结构化简报。

输入

字段必填说明
platforms目标平台列表(默认全部 6 个:抖音/小红书/B站/微博/知乎/视频号)
time_range时间范围:"近一周" / "近一月" / "近三月"(默认"近一月")
focus关注方向:"流量分发" / "内容审核" / "变现规则" / "全部"(默认"全部")

输出

markdown
# 平台算法动态简报
更新日期: {date}
覆盖平台: {platforms}
时间范围: {time_range}
关注方向: {focus}

## {平台名}
### 近期变化
- **{变化标题}**: {具体说明}(来源: {source},时间: {date})
- ...

### 对创作者的影响
- {影响说明}

### 应对建议
- {可操作的建议}

(每个目标平台各一节,结构相同)

## 跨平台趋势
- {多个平台共同出现的规则变化方向}

## 信息来源
- [{来源标题}]({URL})
- ...

执行步骤

第一步:确定范围

  • 解析输入参数,确定目标平台列表、时间范围和关注方向
  • 有 Profile 时读取 profiles/<画像>/platforms.md,优先覆盖创作者活跃平台
  • 无 Profile 时覆盖全部 6 个平台

第二步:多维度搜索 — 平台官方与创作者社区

对每个目标平台,执行 2-3 组 web_search 查询:

  • "{平台名} 算法 更新 {当前年}"
  • "{平台名} 推荐机制 变化 创作者"
  • "{平台名} 流量 规则 最新"

若 focus 非"全部",追加定向查询:

  • 流量分发:"{平台名} 流量池 分发 调整"
  • 内容审核:"{平台名} 内容审核 规则 变化"
  • 变现规则:"{平台名} 变现 政策 更新"

读取 references/platform-sources.md 获取各平台官方来源 URL 和搜索模板。

第三步:第三方信息源搜索

补充行业视角,执行以下查询:

  • "社媒平台 算法 变化 {当前年}" 限定 newrank.cn / woshipm.com / 36kr.com
  • "{平台名} 创作者 吐槽 算法" — 捕捉社区讨论中的实际感知
  • "中国社交媒体 推荐算法 趋势" — 获取跨平台综合分析

第四步:抓取与提取

对第二步和第三步中相关度最高的 3-5 个结果(每平台),执行 web_fetch:

  • 提取具体的算法变化描述、生效时间、官方声明原文
  • 读取 references/algorithm-vocabulary.md 辅助理解平台专有术语
  • 区分信息来源层级:
    • 官方确认:平台官方公告、创作者中心通知
    • 行业报道:新榜、36kr 等媒体报道
    • 社区感知:创作者社区讨论、个人观察(标注为未经证实)

第五步:合成简报

将提取的信息按平台聚合为结构化简报:

  1. 逐平台整理:按时间倒序列出每个变化,附来源 URL 和日期
  2. 影响分析:每条变化对创作者的具体影响(流量、内容策略、变现)
  3. 应对建议:针对每条变化给出可操作的调整建议
  4. 跨平台趋势:识别多个平台共同出现的规则变化方向(如"短视频平台集体提升完播率权重")
  5. 信息来源汇总:列出所有引用的 URL

第六步:输出

将简报保存到 outputs/ 目录。

规则

  1. 每条声明必须附来源 URL — 无来源的信息不纳入简报
  2. 区分确认与传闻 — 官方公告标注"已确认",社区讨论标注"未经证实/社区反馈"
  3. 标注时间 — 每条变化注明发生时间;6 个月以前的变化归入"背景信息"而非"近期变化"
  4. 不预测未来 — 只报告已发生的变化,不推测平台接下来会怎么调整
  5. 如实报告空结果 — 某平台未发现近期变化时明确写"未发现近期算法变化",不编造

Profile 感知

有 Profile 时:

  • 读取 profiles/<画像>/platforms.md 确定创作者活跃平台,优先覆盖这些平台
  • 影响分析结合创作者的内容类型(如"你主做知识科普,完播率权重提升对你有利")
  • 应对建议针对创作者的具体情况定制
  • 非活跃平台仅提供摘要级信息

无 Profile 时:

  • 6 个平台均等覆盖
  • 影响分析面向通用创作者群体
  • 应对建议保持通用性,不做个性化判断

自研说明

与 skill-cross-platform-diff 的区别:cross-platform-diff 分析平台间的静态特征差异,本 SKILL 追踪动态规则变化。 自研溯源与核心差异化见同目录 EASEL-META.md

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Skill Algorithm Updates AI skill do?

追踪抖音、小红书、B站、微博、知乎和视频号的算法、推荐分发、审核与变现规则变化,并分析对创作者的影响。 当用户说“算法/推荐机制变了吗、流量规则更新、为什么流量下降、平台规则变化”时使用。 内容热点用 skill-trending-topics;泛行业资讯用 skill-news-intelligence;本 SKILL 只看平台机制。

Why use Skill Algorithm Updates on TypingMind?

Because you install it once and use it with any model. Skill Algorithm Updates is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Skill Algorithm Updates in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-algorithm-updates. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Skill Algorithm Updates?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Skill Algorithm Updates?

As many as you like. As long as a model supports skills, you can use Skill Algorithm Updates with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Skill Algorithm Updates AI skill free?

Yes. It is published on GitHub by ZJU-REAL under the Apache-2.0 license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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