Apify Trend Analysis
sickn33/agentic-awesome-skills
Discover and track emerging trends across Google Trends, Instagram, Facebook, YouTube, and TikTok to inform content strategy.
给定一个热点事件或话题，结合创作者账号定位，输出蹭热点的具体内容方案. An agent skill from ZJU-REAL/Easel.
Apache-2.0Auto-check passed
Install Skill Trend Rider
$ npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install ZJU-REAL/Easel skill-trend-rider --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/openclaw/skill-trend-rider .claude/skills/skill-trend-rider && rm -rf skills-srcUse ~/.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/
Install the "skill-trend-rider" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-trend-rider into .claude/skills/skill-trend-rider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-trend-rider", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-trend-riderType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install ZJU-REAL/Easel skill-trend-rider --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/openclaw/skill-trend-rider .agents/skills/skill-trend-rider && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "skill-trend-rider" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-trend-rider into .agents/skills/skill-trend-rider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-trend-rider", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install ZJU-REAL/Easel skill-trend-rider --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/openclaw/skill-trend-rider .cursor/skills/skill-trend-rider && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "skill-trend-rider" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-trend-rider into .cursor/skills/skill-trend-rider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-trend-rider", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/ZJU-REAL/Easel.git --path skills/openclaw/skill-trend-rider--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install ZJU-REAL/Easel skill-trend-rider --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/openclaw/skill-trend-rider .gemini/skills/skill-trend-rider && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "skill-trend-rider" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-trend-rider into .gemini/skills/skill-trend-rider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-trend-rider", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install ZJU-REAL/Easel skill-trend-riderInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/openclaw/skill-trend-rider .github/skills/skill-trend-rider && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "skill-trend-rider" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-trend-rider into .github/skills/skill-trend-rider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-trend-rider", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install ZJU-REAL/Easel skill-trend-rider --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/ZJU-REAL/Easel.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/openclaw/skill-trend-rider .opencode/skills/skill-trend-rider && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "skill-trend-rider" agent skill from https://github.com/ZJU-REAL/Easel/tree/main/skills/openclaw/skill-trend-rider into .opencode/skills/skill-trend-rider/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "skill-trend-rider", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
skill-trend-rider- GitHub stars
- 3.4k
- Token cost
- ~740 tokens
- SKILL.md length
- 135 words
- Files
- 2
- Skills in repo
- 114
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
给定一个热点事件或话题，结合创作者账号定位，输出蹭热点的具体内容方案. An agent skill from ZJU-REAL/Easel.
- Works in 7 steps: 热点解析 → 关联度评估 → 切入角度挖掘 → …
- SKILL.md covers 输入, 输出, 执行步骤 and Profile 感知, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Skill Trend Rider is an agent skill from ZJU-REAL/Easel. 给定一个热点事件或话题，结合创作者账号定位，输出蹭热点的具体内容方案。 包含切入角度、内容形式、标题建议、风险提醒。 当用户说"这个热点怎么蹭"、"蹭热点"、"怎么结合"、"热点和我有关吗"、 "追热点"、"热点方案"、"借势"、"怎么追这个热点"、"热点怎么切"时触发。 和 skill-trending-topics 的区别：trending-topics 发现和筛选热点， trend-rider 拿到一个具体热点后规划怎么蹭、怎么切内容。
Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `EASEL-META.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
- “这个热点怎么蹭”
- “热点和我有关吗”
- “怎么追这个热点”
- “/skill-trend-rider”
Workflow steps
7 steps, taken from the first numbered list in SKILL.md.
- 热点解析
- 关联度评估
- 切入角度挖掘
- 内容方案生成
- 发布策略规划
- 风险评估
- 输出交付
What it can do on your machine
Read from SKILL.md and the folder at commit 278f420. 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 Trend Rider loads about 740 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 135 words of instructions outside code blocks.
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 278f420, republished under its Apache-2.0 licence (© ZJU-REAL). 135 words, ~740 tokens.
Download SKILL.mdSave it as
.claude/skills/skill-trend-rider/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- skill-trend-rider
- description
- 给定一个热点事件或话题，结合创作者账号定位，输出蹭热点的具体内容方案。 包含切入角度、内容形式、标题建议、风险提醒。 当用户说"这个热点怎么蹭"、"蹭热点"、"怎么结合"、"热点和我有关吗"、 "追热点"、"热点方案"、"借势"、"怎么追这个热点"、"热点怎么切"时触发。 和 skill-trending-topics 的区别：trending-topics 发现和筛选热点， trend-rider 拿到一个具体热点后规划怎么蹭、怎么切内容。
- layer
- plan
蹭热点方案
给一个热点事件，结合创作者定位，输出具体的蹭热点内容方案。
输入
| 参数 | 必填 | 说明 |
|---|---|---|
| 热点事件 | 是 | 热点话题/事件描述或关键词 |
| 目标平台 | 否 | 发布平台（有 Profile 时自动提取） |
| 创作者赛道 | 否 | 如"科技数码"、"美妆"（有 Profile 时自动提取） |
输出
# 蹭热点方案
## 热点概况
- 热点事件: {事件名}
- 热度等级: {S/A/B/C 级}
- 生命周期: {爆发期/高峰期/衰退期/长尾期}
- 预计热度窗口: {剩余 X 小时/天}
## 关联度判断
- 与创作者赛道的关联度: {高/中/低/无}
- 关联分析: {为什么相关或不相关}
- 蹭热点可行性: {适合蹭/勉强可蹭/不建议蹭}
## 内容方案（3 个角度）
### 方案 A: {角度名}（推荐指数: ★★★★★）
- 切入角度: {具体怎么切}
- 内容形式: {图文/短视频/直播/thread}
- 标题候选:
1. {标题 A1}
2. {标题 A2}
3. {标题 A3}
- 内容大纲: {3-5 个要点}
- 制作时间: {预估}
- 预期效果: {流量预期和互动类型}
### 方案 B: {角度名}（推荐指数: ★★★★☆）
{同上结构}
### 方案 C: {角度名}（推荐指数: ★★★☆☆）
{同上结构}
## 发布策略
- 最佳发布时间: {具体时间窗口}
- 平台选择: {首发平台 + 分发顺序}
- 标签策略: {推荐话题标签}
## 风险提醒
- {风险点 1}: {规避建议}
- {风险点 2}: {规避建议}
## 不蹭的理由（关联度低时输出）
{为什么不建议蹭 + 替代建议}执行步骤
热点解析
- 解析热点事件的核心信息：事件主体、起因、发展、争议点
- 判断热点类型：社会事件、娱乐八卦、行业动态、政策变化、节日节点、突发事件
- 评估热点生命周期阶段：
- 爆发期（0-4 小时）：速度优先，抢首发
- 高峰期（4-24 小时）：角度优先，做差异化
- 衰退期（1-3 天）：深度优先，做总结/反思
- 长尾期（3 天+）：复盘优先，提炼方法论
- 评估热度等级：S 级（全网刷屏）、A 级（行业热议）、B 级（圈层讨论）、C 级（小范围关注）
关联度评估
- 分析热点与创作者赛道的交集：是否有自然关联、能否专业解读
- 关联度分级：
- 高关联：热点本身属于创作者赛道（如科技博主评测新手机发布）
- 中关联：热点可从创作者角度解读（如职场博主解读裁员新闻）
- 低关联：需要强行关联（如美食博主蹭航天热点）
- 无关联：完全不搭边，蹭了反而减分
- 关联度低于"中"时，明确建议不蹭，并说明原因
切入角度挖掘
- 运用 6 种蹭热点角度模型：
- 专业解读：从专业视角分析热点（适合知识型创作者）
- 经验关联：分享自己与热点相关的亲身经历（适合人设型创作者）
- 工具/方法论：借热点引出实用方法论（适合干货型创作者）
- 反向观点：提出与主流不同的观点（适合争议型创作者，风险高）
- 情绪共鸣：表达与大众一致的情绪（适合情感型创作者）
- 延伸联想：从热点延伸到更大话题（适合深度型创作者）
- 根据创作者定位，筛选最匹配的 3 个角度
- 运用 6 种蹭热点角度模型：
内容方案生成
- 为每个角度生成完整方案：
- 内容形式选择：根据平台特性和角度匹配最佳形式
- 标题候选：每个方案 3 个标题，覆盖不同情绪钩子
- 内容大纲：3-5 个核心要点，确保逻辑完整
- 制作时间估算：根据形式复杂度给出预估
- 3 个方案按推荐指数排序，综合考虑关联度、制作难度、预期效果
- 为每个角度生成完整方案：
发布策略规划
- 根据热点生命周期确定最佳发布时间窗口
- 多平台分发策略：首发平台、二次分发顺序、各平台内容适配
- 话题标签策略：官方话题标签 + 长尾标签组合
风险评估
- 逐条排查风险点：
- 政治敏感性：是否涉及政策、国际关系、意识形态
- 法律风险：是否涉及未定性的事件、侵权、隐私
- 舆论反转：事件是否可能反转导致翻车
- 道德争议：蹭该热点是否会引发"吃人血馒头"质疑
- 平台规则：是否触碰平台内容红线
- 每个风险点附带具体规避建议
- 逐条排查风险点：
输出交付
- 按输出格式生成完整方案
- 关联度判定为"无"时，跳过方案生成，直接输出"不蹭的理由"并建议替代方向
Profile 感知
有 Profile 时：
- 读取
identity.md获取赛道定位，精确判断热点关联度 - 读取
audience.md获取粉丝画像，评估粉丝对该热点的关注度 - 读取
style.md匹配内容形式和表达方式 - 读取
platforms.md确定首发平台和分发策略 - 读取
tone.md（如有）确保标题和大纲语气一致
无 Profile 时：
- 关联度评估退回通用模式，要求用户自行提供赛道信息
- 内容方案不做平台特化，给出通用版本
- 提示"提供 Profile 可获得更精准的关联度判断和角度匹配"
规则
- 关联度为"无"时必须建议不蹭，不可强行生成方案
- 每个方案的标题必须包含热点关键词，确保搜索可见
- 风险提醒必须诚实，不可为了让用户蹭热点而淡化风险
- 涉及负面事件（灾难/事故/逝世）的热点，禁止推荐"情绪共鸣"以外的切入角度
- 标注时效性紧迫度，爆发期热点需提醒用户"现在就做"
- 方案之间的角度不可重复，必须提供真正不同的切入点
自研溯源与参考方向见同目录
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 1 other file in skills/openclaw/skill-trend-rider of ZJU-REAL/Easel.
- SKILL.md
- EASEL-META.md
Open the folder on GitHubat commit 278f420
Compare with similar skills
Skill Trend Rider 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 | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Skill Trend Rider this skillZJU-REAL/Easel | 3.4k | — | ~740 | Automated safety check: Pass | Apache-2.0 | |
| Apify Trend Analysissickn33/agentic-awesome-skills | 47k | 2 repos | ~1.2k | Automated safety check: Notes | MIT | |
| Cheat TrendsXBuilderLAB/cheat-on-content | 7.2k | — | ~1.4k | Automated safety check: Notes | MIT | |
| Cost Trendruvnet/ruflo | 74k | — | ~490 | Automated safety check: Notes | MIT | |
| Trend Spotterholaboss-ai/holaOS | 11k | — | ~582 | Automated safety check: Pass | Custom licence | |
| Choosing Trend Or Slope ViewPostHog/posthog | 40k | — | ~947 | Automated safety check: Pass | Custom licence |
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All 114 skills in this repoGzh Design
ZJU-REAL/Easel
微信公众号文章排版引擎：把 Markdown / Word(.docx) / PDF / 纯文本转成可直接粘贴进公众号编辑器的 HTML，自动章节编号、关键词标记、引言卡、目录、代码块、图片/GIF、作者签名；主题从 references/theme-index.md…
Skill Wechat Publisher
ZJU-REAL/Easel
微信公众号文章自动创作与发布工具。给定参考文章、文字或文档，自动搜索整理全网相关信息、生成图文并茂的公众号文章，并发布到微信公众号草稿箱。特别强调反 AI 检测写作。
Card Design
ZJU-REAL/Easel
社媒卡片视觉设计系统：提供配色、中文字体层级、满画幅布局、品类骨架和死空白/密度质检，避免模板化 PPT 与廉价 AI 感。
Ecom Details Image
ZJU-REAL/Easel
生成电商商品视觉方案：主图概念、场景图、详情页视觉方向和 AI 生图 Prompt. An agent skill from ZJU-REAL/Easel.
Infographic
ZJU-REAL/Easel
将数据或文字内容转化为可视化信息图，支持静态（AntV）和动画 GIF 两种模式。当用户需要制作信息图、数据可视化、流程图、对比图、动画图表、GIF 图表、思维导图、SWOT 分析图时调用。本地渲染信息图/GIF 动画；要单张静态图片 URL 用 chart-visualization，要 CSV/JSON→整页报告用 data-report
Novel Writer
ZJU-REAL/Easel
长篇小说/网文连载创作：从世界观、人设和三级大纲写到逐章正文，并用文件化状态维护伏笔、前情和跨章一致性. An agent skill from ZJU-REAL/Easel.
Questions about Skill Trend Rider
What does Skill Trend Rider do?
给定一个热点事件或话题，结合创作者账号定位，输出蹭热点的具体内容方案. An agent skill from ZJU-REAL/Easel. Skill Trend Rider is an agent skill from ZJU-REAL/Easel.
How do I install Skill Trend Rider in Claude Code?
Run `npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a claude-code`. Or copy the skill folder (skills/openclaw/skill-trend-rider in ZJU-REAL/Easel) into .claude/skills/skill-trend-rider in your project. Claude Code loads it when a task matches its description.
How do I install Skill Trend Rider in Codex?
Run `npx skills add ZJU-REAL/Easel --skill skill-trend-rider -a codex`. Or copy the skill folder (skills/openclaw/skill-trend-rider in ZJU-REAL/Easel) into .agents/skills/skill-trend-rider in your project. Codex loads it when a task matches its description.
Can I use Skill Trend Rider 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-trend-rider -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-trend-rider, .gemini/skills/skill-trend-rider, .github/skills/skill-trend-rider and .opencode/skills/skill-trend-rider in your project.
What does Skill Trend Rider need to run?
SKILL.md names no scripts, command-line tools or credentials: Skill Trend Rider is instructions for the agent only.
Does Skill Trend Rider 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 Trend Rider 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 Trend Rider use?
Skill Trend Rider 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 Trend Rider use?
About 740 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Skill Trend Rider?
Skills that share tags, products or a category with Skill Trend Rider: Apify Trend Analysis (sickn33/agentic-awesome-skills, 47k stars), Cheat Trends (XBuilderLAB/cheat-on-content, 7.2k stars), Cost Trend (ruvnet/ruflo, 74k stars) and Trend Spotter (holaboss-ai/holaOS, 11k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Skill Trend Rider?
ZJU-REAL (a GitHub organization) maintains it in ZJU-REAL/Easel, which has 3,376 GitHub stars. The repository holds 114 skills in this directory. The repository was last updated on October 9, 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.