Agent skill

Skill Algorithm Updates

by ZJU-REAL in ZJU-REAL/Easel

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. An agent skill from ZJU-REAL/Easel.

Apache-2.0Auto-check passed

Install Skill Algorithm Updates

skills CLI
$ npx skills add ZJU-REAL/Easel --skill skill-algorithm-updates -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install ZJU-REAL/Easel skill-algorithm-updates --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-algorithm-updates .claude/skills/skill-algorithm-updates && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
skill-algorithm-updates
GitHub stars
3.2k
Token cost
~623 tokens
SKILL.md length
171 words
Files
4 (incl. references)
Skills in repo
113
Repo updated
First seen
Licence
Apache-2.0

At a glance

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. An agent skill from ZJU-REAL/Easel.

  • Works in 5 steps: 逐平台整理:按时间倒序列出每个变化,附来源 URL 和日期 → 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) → 应对建议:针对每条变化给出可操作的调整建议 → …
  • SKILL.md covers 输入, 输出, 执行步骤 and 规则, plus 2 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Skill Algorithm Updates is an agent skill from ZJU-REAL/Easel. 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。

Its SKILL.md is about 620 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `EASEL-META.md`, `references/algorithm-vocabulary.md` and `references/platform-sources.md`).

The repository describes itself as: An open-source AI agent for social media — discover trends, create content, publish everywhere, and learn what works across Xiaohongshu, Douyin, Zhihu, Bilibili, and more.🎨一个开源的… The licence is Apache-2.0.

Example prompts

  • “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”
  • “/skill-algorithm-updates”

Workflow steps

5 steps, taken from the first numbered list in SKILL.md.

  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

What it can do on your machine

Read from SKILL.md and the folder at commit fb80ae6. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md (its code samples are markdown).

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Skill Algorithm Updates loads about 623 tokens when it runs, and up to ~2.9k if it reads all its reference files. Until then it costs about 48 tokens; SKILL.md has 171 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~48
When it runs · the whole SKILL.md, loaded when a task matches
~623
With references · SKILL.md plus every file in references/, read only if the agent opens them
~2.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from ZJU-REAL/Easel at commit fb80ae6, republished under its Apache-2.0 licence (© ZJU-REAL). 171 words, ~623 tokens.

Download SKILL.mdSave it as .claude/skills/skill-algorithm-updates/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
skill-algorithm-updates
description
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。
layer
discover

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否目标平台列表(默认全部 6 个:抖音/小红书/B站/微博/知乎/视频号)
time_range否时间范围:"近一周" / "近一月" / "近三月"(默认"近一月")
focus否关注方向:"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。

© ZJU-REAL, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files (references) in skills/openclaw/skill-algorithm-updates of ZJU-REAL/Easel.

  • SKILL.md
  • EASEL-META.md
  • references/algorithm-vocabulary.md
  • references/platform-sources.md

Open the folder on GitHubat commit fb80ae6

Compare with similar skills

Skill Algorithm Updates next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Skill Algorithm Updates compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Skill Algorithm Updates this skillZJU-REAL/Easel3.2k—~623Automated safety check: PassApache-2.0
Openclaw Updateopenclaw/openclaw392k—~1.5kAutomated safety check: PassMIT
Update Docsvercel/next.js143k—~1.9kAutomated safety check: PassMIT
UI Updatesickn33/agentic-awesome-skills47k1 repos~1.4kAutomated safety check: PassMIT
Update Team Serveropenclaw/openclaw392k—~3.8kAutomated safety check: PassMIT
Update Specificationgithub/awesome-copilot40k1 repos~1.4kAutomated safety check: PassMIT

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Questions about Skill Algorithm Updates

What does Skill Algorithm Updates 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. An agent skill from ZJU-REAL/Easel. Skill Algorithm Updates is an agent skill from ZJU-REAL/Easel.

How do I install Skill Algorithm Updates in Claude Code?

Run `npx skills add ZJU-REAL/Easel --skill skill-algorithm-updates -a claude-code`. Or copy the skill folder (skills/openclaw/skill-algorithm-updates in ZJU-REAL/Easel) into .claude/skills/skill-algorithm-updates in your project. Claude Code loads it when a task matches its description.

How do I install Skill Algorithm Updates in Codex?

Run `npx skills add ZJU-REAL/Easel --skill skill-algorithm-updates -a codex`. Or copy the skill folder (skills/openclaw/skill-algorithm-updates in ZJU-REAL/Easel) into .agents/skills/skill-algorithm-updates in your project. Codex loads it when a task matches its description.

Can I use Skill Algorithm Updates in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add ZJU-REAL/Easel --skill skill-algorithm-updates -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/skill-algorithm-updates, .gemini/skills/skill-algorithm-updates, .github/skills/skill-algorithm-updates and .opencode/skills/skill-algorithm-updates in your project.

What does Skill Algorithm Updates need to run?

SKILL.md names no scripts, command-line tools or credentials: Skill Algorithm Updates is instructions for the agent only.

Does Skill Algorithm Updates access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Skill Algorithm Updates safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Skill Algorithm Updates use?

Skill Algorithm Updates is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Skill Algorithm Updates use?

About 623 tokens (SKILL.md is roughly 2.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 2.3k tokens, read only when the agent opens those files.

What are the alternatives to Skill Algorithm Updates?

Skills that share tags, products or a category with Skill Algorithm Updates: Openclaw Update (openclaw/openclaw, 392k stars), Update Docs (vercel/next.js, 143k stars), UI Update (sickn33/agentic-awesome-skills, 47k stars) and Update Team Server (openclaw/openclaw, 392k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Skill Algorithm Updates?

ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,230 GitHub stars. The repository holds 113 skills in this directory. The repository was last updated on October 7, 2026.

Source: ZJU-REAL/Easel on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.