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Agent skill

Hot Topic Ideator

by LeoYeAI in LeoYeAI/openclaw-master-skills

生成小红书热点选题和内容创意。当用户提到"热点选题"、"内容创意"、"小红书选题"、"trending topics"、"content ideas"、"热门话题"、"爆款选题"时使用。适用于品牌社媒运营、内容策划、热点借势营销场景。

MITAuto-check passed

Install Hot Topic Ideator

skills CLI
$ npx skills add LeoYeAI/openclaw-master-skills --skill hot-topic-ideator -a claude-code

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

GitHub CLI
$ gh skill install LeoYeAI/openclaw-master-skills hot-topic-ideator --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/LeoYeAI/openclaw-master-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/hot-topic-ideator .claude/skills/hot-topic-ideator && 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
hot-topic-ideator
GitHub stars
2.2k
Token cost
~3.1k tokens
SKILL.md length
373 words
Files
2
Skills in repo
1,235
Repo updated
First seen
Licence
MIT

At a glance

生成小红书热点选题和内容创意。当用户提到"热点选题"、"内容创意"、"小红书选题"、"trending topics"、"content ideas"、"热门话题"、"爆款选题"时使用。适用于品牌社媒运营、内容策划、热点借势营销场景。

  • Works in 12 steps: 品牌信息收集 → 生成搜索关键词 → 搜索小红书笔记 → …
  • SKILL.md covers 快速开始, 环境配置, 工作流程 and 设计风格, plus 3 more sections
  • Calls curl and uv; reaches asset.tezign.com and cdn.tailwindcss.com; needs CHATDAM_API_TOKEN

What it does

Hot Topic Ideator is an agent skill from LeoYeAI/openclaw-master-skills. 生成小红书热点选题和内容创意。当用户提到"热点选题"、"内容创意"、"小红书选题"、"trending topics"、"content ideas"、"热门话题"、"爆款选题"时使用。适用于品牌社媒运营、内容策划、热点借势营销场景。

Its SKILL.md is about 3.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 1 other file (for example `_meta.json`).

The repository describes itself as: 🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai. The licence is MIT.

Example prompts

  • “trending topics”
  • “content ideas”
  • “/hot-topic-ideator”

Requirements

  • A credential in CHATDAM_API_TOKEN

Workflow steps

12 steps, taken from the step headings in SKILL.md.

  1. 品牌信息收集
  2. 生成搜索关键词
  3. 搜索小红书笔记
  4. 获取热门笔记详情
  5. 话题挖掘与评估
  6. 热榜验证
  7. 深度话题分析（可选）
  8. 生成热点选题 HTML 报告
  9. 笔记搜索
  10. 笔记详情
  11. 热榜数据
  12. 生成 HTML 报告

What it can do on your machine

Read from SKILL.md and the folder at commit e5199b5. 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

    Shell commands in SKILL.md call:

    • curl
    • uv

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

  • Network

    Hosts in commands or code, which the agent is likely to contact:

    • asset.tezign.com
    • cdn.tailwindcss.com

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

  • Credentials

    Names these keys or tokens, usually read from environment variables:

    • CHATDAM_API_TOKEN

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

Context cost

Hot Topic Ideator loads about 3.1k tokens when it runs. Until then it costs about 34 tokens; SKILL.md has 373 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~34
When it runs · the whole SKILL.md, loaded when a task matches
~3.1k

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 LeoYeAI/openclaw-master-skills at commit e5199b5, republished under its MIT licence (© LeoYeAI). 373 words, ~3,067 tokens.

Download SKILL.mdSave it as .claude/skills/hot-topic-ideator/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.
name
hot-topic-ideator
description
生成小红书热点选题和内容创意。当用户提到"热点选题"、"内容创意"、"小红书选题"、"trending topics"、"content ideas"、"热门话题"、"爆款选题"时使用。适用于品牌社媒运营、内容策划、热点借势营销场景。

热点选题生成器 (Hot Topic Content Ideator)

基于小红书真实数据，为品牌生成5-10个高质量热点选题创意，输出为专业 HTML 报告并转换为 PDF。

快速开始

使用示例：

用户：帮雪碧生成小红书热点选题
用户：给元气森林做5个内容创意
用户：为喜茶策划热点借势内容

环境配置

必需的环境变量
bash
export CHATDAM_API_TOKEN="YOUR_TOKEN_HERE"

工作流程

Step 1: 品牌信息收集

若用户只提供品牌名称，需收集以下信息：

  1. 品牌核心价值观 - 品牌代表什么？
  2. 目标受众 - 主要消费群体特征
  3. 应用场景 - 产品典型使用场景
  4. 品牌调性 - 活泼/专业/高端/亲民等
  5. 竞品品牌 - 主要竞争对手（用于差异化分析）

若用户已提供详细信息，直接进入Step 2。

Step 2: 生成搜索关键词

基于品牌DNA，生成5-8个搜索关键词：

关键词公式：

类型公式示例
品牌+品类[品牌名] [产品类型]雪碧 气泡水
品牌+场景[品牌名] [使用场景]雪碧 火锅
品牌+情绪[品牌名] [情感词]雪碧 爽快
品类+热点[品类] [潜在热词]碳酸饮料 搞抽象
场景+趋势[消费场景] [流行词]聚餐 氛围感

输出： 5-8个关键词列表

Step 3: 搜索小红书笔记

对每个关键词调用API：

bash
curl --request GET 'https://asset.tezign.com/chatdam/api/notes/search?keyword=[KEYWORD_URL_ENCODED]' \
--header "Authorization: Bearer ${CHATDAM_API_TOKEN}" \
--header 'Content-Type: application/json'

响应结构：

json
{
  "data": {
    "keyword": "雪碧 火锅",
    "notes": [
      {
        "noteId": "69800480000000000e03c5b1",
        "title": "火锅配雪碧太爽了",
        "description": "辣到飞起的时候来一口冰爽雪碧 #火锅 #雪碧 #聚餐",
        "likedCount": 1205,
        "commentCount": 43,
        "collectedCount": 89,
        "sharedCount": 12
      }
    ],
    "total": 20
  }
}

数据处理：

为每篇笔记计算互动分数：

engagement_score = likedCount + (commentCount × 2) + (collectedCount × 3) + (sharedCount × 1.5)

从description中提取话题标签（#xxx格式）

Step 4: 获取热门笔记详情

对每个关键词的前3篇高互动笔记，获取详情：

bash
curl --request GET 'https://asset.tezign.com/chatdam/api/notes/detail?noteId=[NOTE_ID]' \
--header "Authorization: Bearer ${CHATDAM_API_TOKEN}"

分析要点：

  1. 内容结构

    • 开头钩子（如何吸引注意）
    • 主体内容（信息传递方式）
    • 结尾CTA（互动引导）

  2. 话题策略

    • 主话题（高流量）
    • 副话题（精准定位）
    • 品牌话题（转化追踪）

  3. 成功要素

    • 情绪触发点
    • 用户价值点
    • 可分享性
Step 5: 话题挖掘与评估

汇总所有提取的话题标签，计算得分：

话题得分 = (出现频次 × 0.4) + (关联笔记平均互动 × 0.6)

筛选Top 10话题，评估维度：

维度权重评分标准
品牌相关性30%与品牌价值观/场景的契合度
用户互动量25%关联笔记的平均互动表现
内容可复制性20%品牌执行的难易程度
趋势热度15%话题的增长势头
竞品空白度10%竞品是否已切入
Step 6: 热榜验证

调用官方热榜API验证话题热度：

bash
curl --request GET 'https://asset.tezign.com/chatdam/api/hot-trends?limit=20' \
--header "Authorization: Bearer ${CHATDAM_API_TOKEN}"

验证结果标记：

  • ✅ 官方热榜验证 - 话题在Top 20热榜中
  • 🌱 新兴趋势 - 话题未上榜但数据强劲
  • ⚠️ 小众话题 - 数据一般，需谨慎
Step 7: 深度话题分析（可选）

对高分话题，以话题为关键词再次搜索：

bash
curl --request GET 'https://asset.tezign.com/chatdam/api/notes/search?keyword=%23搞抽象' \
--header "Authorization: Bearer ${CHATDAM_API_TOKEN}"

分析：

  • 话题下的内容主题分布
  • 高互动内容的共性特征
  • UGC创作模式
  • 品牌切入角度
Step 8: 生成热点选题 HTML 报告

基于前述分析结果，生成专业 HTML 报告，包含5-10个热点选题。

报告整体结构如下，每个选题需包含完整信息：

  1. 报告封面区域

    • 品牌名称 + "小红书热点选题 Brief"
    • 数据基础概要（搜索关键词数、分析笔记数、提取话题数、热榜验证数）

  2. 选题概览表

    • 表格形式展示所有选题：序号、选题名称、热度等级、执行难度、推荐度

  3. 每个选题详情卡片，包含以下信息：

    • 选题标题
    • 热点来源：关联话题标签、热度验证状态（✅官方热榜 / 🌱新兴趋势）、数据支撑
    • 创意概念：1-2句话核心创意（<30字）
    • 创意阐释：创意逻辑和品牌结合点（100-150字）
    • 内容形式：形式（图文/视频/合集）、预估篇幅、参考风格
    • 互动设计：用户互动引导、评论区玩法
    • 执行要点：3个关键执行点
    • 参考笔记：Note ID、互动数据、成功要素

设计风格

基于品牌属性，为报告选取合适的设计风格。以下为设计框架：

核心设计哲学

社媒热点选题报告面向品牌运营团队和决策者，视觉风格需兼顾数据专业性和社交媒体活力感——既有策略报告的严肃信服力，又有社媒内容的灵动气质。

设计方向参考：

  • 以杂志编辑式排版为底，融入数据看板的信息密度
  • 参考 Monocle 杂志的优雅信息设计 + Spotify 年度报告的活力呈现
  • 黑白灰为骨架，品牌色或亮色为点缀，不喧宾夺主
设计规范

色彩策略：

  • 黑、白、灰为基础色系
  • 可选单一强调色（如品牌色、亮橙、亮红、深蓝）作为点缀
  • 严禁大面积彩色卡片、背景色块、粗彩色边框
  • 热度等级可用色阶表示（如灰→深色→强调色），保持克制

排版层级：

  • 通过字重（Regular → Medium → Bold）建立层级，而非颜色
  • 字号标识重要性，留白创造呼吸感
  • 中文正文推荐使用系统默认字体，英文/数字可用 Inter / SF Pro 等

信息密度：

  • 紧凑但不拥挤，确保每屏有足够信息量
  • 清晰的视觉分组和适度呼吸空间
  • 表格、卡片、列表混合使用，提高扫读效率

必须遵循的设计标准

【核心设计哲学：Less is More】

用最有力的专业方式呈现最有价值的洞察。报告视觉语言应使用成熟专业的手法（编辑设计、信息图表美学），而非廉价的技术感装饰（霓虹渐变、3D效果、花哨特效）。

关键原则：

  • 真实而有戏剧性——避免合成塑料感，拥抱有力的视觉呈现
  • 力量与深度兼备——视觉冲击力和经得起细看的内涵
  • 专业但不疏远——咨询级严谨 + 社媒运营的亲切
  • 色彩是戏剧，不是装饰——有目的的戏剧性对比，而非无意义的彩色点缀

色彩策略：

  • 黑白灰为基底，可选单一强调色（深蓝、炭灰、暖棕、亮橙均可）
  • 严禁大面积彩色卡片、背景色块、粗彩色边框
  • 克制在于布局和结构，而非把所有东西变灰

排版层级：

  • 通过字重（Regular → Medium → Bold）建立层级，而非颜色
  • 字号表示重要性，留白创造呼吸空间
  • 最好的排版应当不被察觉——直到你需要阅读时，感觉毫不费力

信息密度与阅读效率：

  • 布局紧凑，保证每屏信息量充足——避免过多留白导致"一眼看不到东西"
  • 紧凑≠拥挤——保持清晰的视觉分组和适度呼吸空间
  • 目标是高阅读效率：读者可快速扫描抓住要点，深入阅读时也感觉舒适
  • 段落间距和标题间距适中——层次分明又节省空间
Show full SKILL.md (142 more words)Show less
【专业标准】
  • 报告需体现咨询级专业水准
  • 使用社媒运营和品牌策略的标准框架和术语
  • 保持客观严谨的分析态度
  • 数据引用需标注来源（API数据 / 网络搜索）
【内容生成原则】
  • 基于真实API数据进行分析和推荐
  • 数据不足时使用行业标准假设和经验判断
  • 保持逻辑连贯和分析深度
  • 所有推论必须有清晰的逻辑支撑和数据佐证
【热点选题报告特有设计要求】
  • 建立清晰的信息层级：通过字重、字号、衬线/无衬线字体组合区分内容重要性
  • 精心安排布局结构：较高信息密度，减少不必要的留白，用精确的分组和对齐突出重点内容
  • 表格展示数据对比分析，通过加粗、边框等强调方式突出关键数字和重要发现
  • 选题卡片设计统一，便于快速浏览和对比
  • 禁止使用超过4种颜色、彩色卡片块、装饰性边框，保持简洁克制的专业美感
【视觉内容限制】
  • 严禁：使用图片生成API创建任何图表、表格、数据可视化、统计图、流程图
  • 严禁：使用外部图片链接
  • 所有数据可视化通过 HTML/CSS 原生实现（表格、进度条、色阶等）
  • 不使用复杂的CSS图表或可视化
  • 报告开头不包含日期信息
【技术实现】
  • 使用 Tailwind CSS（通过 CDN）进行响应式布局
  • 优化不同屏幕尺寸的布局
  • 所有样式和内容包含在单个 HTML 文件中
  • 不使用外部图片链接或资源
  • 避免生成无效链接和URL
  • 不使用复杂的CSS图表或可视化
  • 输出内容仅为可直接使用的 HTML 代码，以 <!DOCTYPE html> 开头

API参考

1. 笔记搜索
GET https://asset.tezign.com/chatdam/api/notes/search?keyword=[ENCODED_KEYWORD]
Header: Authorization: Bearer ${CHATDAM_API_TOKEN}
返回: 20篇笔记，含标题、描述、互动数据
2. 笔记详情
GET https://asset.tezign.com/chatdam/api/notes/detail?noteId=[NOTE_ID]
Header: Authorization: Bearer ${CHATDAM_API_TOKEN}
返回: 完整笔记内容、话题标签、详细数据
3. 热榜数据
GET https://asset.tezign.com/chatdam/api/hot-trends?limit=20
Header: Authorization: Bearer ${CHATDAM_API_TOKEN}
返回: 官方热榜Top20，含热度值和排名变化

最佳实践

✅ DO
  • 生成多样化关键词，覆盖不同场景
  • 分析至少100篇笔记建立数据基础
  • 用真实互动数据支撑选题判断
  • 提取可复制的内容模板
  • 验证热榜确认趋势真实性
  • 每个选题提供具体执行指导
❌ DON'T
  • 不要捏造互动数据
  • 不要只依赖热榜（可能与品牌无关）
  • 不要提供无法执行的创意
  • 不要忽略品牌调性限制
  • 不要照搬竞品已做过的内容

输出格式

Step 1: 生成 HTML 报告

创建 HTML 报告文件，保存到指定路径：

  • 单个 HTML 文件: {base_dir}/{品牌名}-hot-topics/report.html

HTML 报告内容包括：

  1. 报告封面 — 品牌名、报告标题、数据基础概要
  2. 选题概览表 — 选题名称、热度等级、执行难度、推荐度
  3. 选题详情卡片 — 每个选题的完整 brief（热点来源、创意概念、创意阐释、内容形式、互动设计、执行要点、参考笔记）
  4. 数据来源说明 — 搜索关键词、分析笔记数量、数据采集方式

技术要求：

  • 以 <!DOCTYPE html> 开头的完整 HTML 文件
  • 使用 Tailwind CSS CDN 进行样式控制
  • 单文件，无外部依赖
  • 响应式设计，适配不同屏幕
Step 2: 转换为 PDF

使用转换脚本生成最终 PDF：

bash
uv run {baseDir}/scripts/html_to_pdf.py --html {base_dir}/{品牌名}-hot-topics/report.html --output {base_dir}/{品牌名}-hot-topics/report.pdf

脚本会：

  • 正确处理相对图片路径
  • 生成专业 PDF
  • 打印 MEDIA: 行用于自动附件

错误处理

API调用失败：

  • 重试1次
  • 若仍失败，使用web_search作为备选数据源
  • 标注数据来源为"网络搜索（非API）"

笔记数量不足：

  • 扩展关键词范围
  • 降低品牌强关联要求
  • 提示用户"该品牌小红书声量较低，建议扩大搜索范围"

热榜API不可用：

  • 继续基于笔记数据分析
  • 标注"热度未经官方验证"

示例 HTML 结构参考

以下为报告 HTML 的骨架结构示意（实际生成时需填充真实数据和完整样式）：

html
<!DOCTYPE html>
<html lang="zh-CN">
<head>
    <meta charset="UTF-8">
    <meta name="viewport" content="width=device-width, initial-scale=1.0">
    <title>[品牌名] 小红书热点选题 Brief</title>
    <script src="https://cdn.tailwindcss.com"></script>
    <style>
        /* 自定义字体和基础样式 */
        body {
            font-family: -apple-system, BlinkMacSystemFont, "Segoe UI", "PingFang SC", "Hiragino Sans GB", "Microsoft YaHei", sans-serif;
            background: #fafafa;
            color: #1a1a1a;
        }
        /* 打印优化 */
        @media print {
            body { background: white; }
            .page-break { page-break-before: always; }
        }
    </style>
</head>
<body class="min-h-screen">

    <!-- 封面区域 -->
    <header class="bg-white border-b border-gray-200 px-8 py-12 mb-8">
        <p class="text-sm tracking-widest text-gray-400 uppercase mb-4">Xiaohongshu Content Strategy</p>
        <h1 class="text-4xl font-bold text-gray-900 mb-2">[品牌名]</h1>
        <h2 class="text-xl font-light text-gray-500 mb-8">小红书热点选题 Brief</h2>
        <div class="grid grid-cols-4 gap-6 mt-8">
            <div class="border-l-2 border-gray-900 pl-4">
                <p class="text-2xl font-bold">6</p>
                <p class="text-xs text-gray-500 mt-1">搜索关键词</p>
            </div>
            <div class="border-l-2 border-gray-900 pl-4">
                <p class="text-2xl font-bold">120</p>
                <p class="text-xs text-gray-500 mt-1">分析笔记</p>
            </div>
            <div class="border-l-2 border-gray-900 pl-4">
                <p class="text-2xl font-bold">85</p>
                <p class="text-xs text-gray-500 mt-1">提取话题</p>
            </div>
            <div class="border-l-2 border-gray-900 pl-4">
                <p class="text-2xl font-bold">3</p>
                <p class="text-xs text-gray-500 mt-1">热榜验证</p>
            </div>
        </div>
    </header>

    <!-- 选题概览表 -->
    <section class="bg-white mx-8 mb-8 p-6 border border-gray-100">
        <h3 class="text-lg font-bold text-gray-900 mb-4">选题概览</h3>
        <table class="w-full text-sm">
            <thead>
                <tr class="border-b-2 border-gray-900">
                    <th class="text-left py-2 font-medium">#</th>
                    <th class="text-left py-2 font-medium">选题</th>
                    <th class="text-left py-2 font-medium">热度</th>
                    <th class="text-left py-2 font-medium">执行难度</th>
                    <th class="text-left py-2 font-medium">推荐度</th>
                </tr>
            </thead>
            <tbody>
                <!-- 由实际数据填充 -->
                <tr class="border-b border-gray-100">
                    <td class="py-3 font-bold">1</td>
                    <td class="py-3">选题标题示例</td>
                    <td class="py-3">⭐⭐⭐⭐⭐</td>
                    <td class="py-3">中</td>
                    <td class="py-3">★★★★★</td>
                </tr>
            </tbody>
        </table>
    </section>

    <!-- 选题详情卡片（重复N个） -->
    <section class="mx-8 mb-8">
        <article class="bg-white border border-gray-100 p-6 mb-6">
            <div class="flex items-center justify-between mb-4">
                <h3 class="text-xl font-bold text-gray-900">选题 1: 选题标题</h3>
                <span class="text-xs px-3 py-1 bg-gray-900 text-white">✅ 官方热榜</span>
            </div>

            <div class="grid grid-cols-3 gap-4 mb-4 text-sm">
                <div>
                    <p class="text-gray-400 text-xs mb-1">关联话题</p>
                    <p>#话题1 #话题2 #话题3</p>
                </div>
                <div>
                    <p class="text-gray-400 text-xs mb-1">数据支撑</p>
                    <p>XX篇相关笔记，平均互动XX</p>
                </div>
                <div>
                    <p class="text-gray-400 text-xs mb-1">内容形式</p>
                    <p>图文 / 6张图</p>
                </div>
            </div>

            <div class="mb-4">
                <p class="text-gray-400 text-xs mb-1">创意概念</p>
                <p class="text-lg font-medium">一句话核心创意描述</p>
            </div>

            <div class="mb-4">
                <p class="text-gray-400 text-xs mb-1">创意阐释</p>
                <p class="text-sm text-gray-700 leading-relaxed">详细说明创意逻辑和品牌结合点...</p>
            </div>

            <div class="mb-4">
                <p class="text-gray-400 text-xs mb-1">互动设计</p>
                <p class="text-sm text-gray-700">如何引导用户互动，评论区玩法...</p>
            </div>

            <div class="mb-4">
                <p class="text-gray-400 text-xs mb-1">执行要点</p>
                <ol class="text-sm text-gray-700 list-decimal list-inside space-y-1">
                    <li>关键执行点1</li>
                    <li>关键执行点2</li>
                    <li>关键执行点3</li>
                </ol>
            </div>

            <div class="border-t border-gray-100 pt-3 text-xs text-gray-400">
                参考笔记: Note ID xxx | 互动: xxx | 成功要素: xxx
            </div>
        </article>
    </section>

    <!-- 数据来源说明 -->
    <footer class="mx-8 mb-12 py-4 border-t border-gray-200 text-xs text-gray-400">
        <p>数据来源：小红书笔记搜索API / 官方热榜API | 搜索关键词：xxx, xxx | 分析笔记数：xxx篇</p>
    </footer>

</body>
</html>

以上仅为骨架参考，实际生成时需要：

  • 根据品牌调性微调强调色
  • 填充真实分析数据
  • 根据选题数量重复卡片组件
  • 确保所有数据引用来自真实API响应

© LeoYeAI, MIT. 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/hot-topic-ideator of LeoYeAI/openclaw-master-skills.

  • SKILL.md
  • _meta.json

Open the folder on GitHubat commit e5199b5

Compare with similar skills

Hot Topic Ideator 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.

Hot Topic Ideator compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Hot Topic Ideator this skillLeoYeAI/openclaw-master-skills2.2k—~3.1kAutomated safety check: PassMIT
Skill Trending TopicsZJU-REAL/Easel3.3k—~557Automated safety check: PassApache-2.0
Trend Spotterholaboss-ai/holaOS11k—~582Automated safety check: PassCustom licence
Creative IdeationNousResearch/hermes-agent252k1 repos~2.6kAutomated safety check: PassMIT
Apify Trend Analysissickn33/agentic-awesome-skills47k2 repos~1.2kAutomated safety check: NotesMIT
Trend Spotteraaron-he-zhu/aaron-marketing-skills2.9k—~2.7kAutomated safety check: PassApache-2.0

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    3.3k GitHub stars~557 tokensUpdated today
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Questions about Hot Topic Ideator

What does Hot Topic Ideator do?

生成小红书热点选题和内容创意。当用户提到"热点选题"、"内容创意"、"小红书选题"、"trending topics"、"content ideas"、"热门话题"、"爆款选题"时使用。适用于品牌社媒运营、内容策划、热点借势营销场景。. Hot Topic Ideator is an agent skill from LeoYeAI/openclaw-master-skills.

How do I install Hot Topic Ideator in Claude Code?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill hot-topic-ideator -a claude-code`. Or copy the skill folder (skills/hot-topic-ideator in LeoYeAI/openclaw-master-skills) into .claude/skills/hot-topic-ideator in your project. Claude Code loads it when a task matches its description.

How do I install Hot Topic Ideator in Codex?

Run `npx skills add LeoYeAI/openclaw-master-skills --skill hot-topic-ideator -a codex`. Or copy the skill folder (skills/hot-topic-ideator in LeoYeAI/openclaw-master-skills) into .agents/skills/hot-topic-ideator in your project. Codex loads it when a task matches its description.

Can I use Hot Topic Ideator 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 LeoYeAI/openclaw-master-skills --skill hot-topic-ideator -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/hot-topic-ideator, .gemini/skills/hot-topic-ideator, .github/skills/hot-topic-ideator and .opencode/skills/hot-topic-ideator in your project.

What does Hot Topic Ideator need to run?

Going by SKILL.md and its folder, Hot Topic Ideator needs the command-line tools its instructions call (curl and uv) and credentials named CHATDAM_API_TOKEN. Our summary lists: A credential in CHATDAM_API_TOKEN.

Does Hot Topic Ideator access the network?

SKILL.md names 2 domains. In commands or code: asset.tezign.com and cdn.tailwindcss.com; the agent is likely to contact these when it follows the instructions. This is read from the text; nothing was executed.

Is Hot Topic Ideator 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 Hot Topic Ideator use?

Hot Topic Ideator is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Hot Topic Ideator use?

About 3.1k tokens (SKILL.md is roughly 12k 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 Hot Topic Ideator?

Skills that share tags, products or a category with Hot Topic Ideator: Skill Trending Topics (ZJU-REAL/Easel, 3.3k stars), Trend Spotter (holaboss-ai/holaOS, 11k stars), Creative Ideation (NousResearch/hermes-agent, 252k stars) and Apify Trend Analysis (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Hot Topic Ideator?

LeoYeAI (a GitHub user) maintains it in LeoYeAI/openclaw-master-skills, which has 2,160 GitHub stars. The repository holds 1,235 skills in this directory. The repository was last updated on July 20, 2026.

Source: LeoYeAI/openclaw-master-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.