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Reddit 主题洞察

输入研究主题，自动采集 Reddit 讨论，提炼爆款角度，产出 X 推文、小红书笔记、公众号文章三平台成品。7 步流水线：需求收集 → 关键词设计 → 数据采集 → 详情获取 → 角度规划 → 成品生产 → 合并输出。

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High Signal

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: SKILL.md, reference/article-types.md, reference/x-tweet-template.md, reference/xiaohongshu-template.md, reference/wechat-template.md, runs/openclaw-tips/keywords.json

Validation

Use the Yavira download entry.
Review SKILL.md after the package is downloaded.
Confirm the extracted package contains the expected setup assets.

Install with your agent

Agent handoff

Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.

Download the package from Yavira.
Extract it into a folder your agent can access.
Paste one of the prompts below and point your agent at the extracted folder.

New install

I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.

Upgrade existing

I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.

Open Send to Agent page Open JSON manifest Open Markdown brief

Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.0.1

Provenance

Publisher: Wbule
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 15 sections Open source page

Reddit 主题洞察 Skill

从 Reddit 社区讨论中挖掘爆款内容角度，自动产出三平台（X / 小红书 / 公众号）成品内容。

触发条件

当用户：提及「Reddit 研究」「Reddit 洞察」「Reddit 话题」想从 Reddit 挖掘内容角度或爆款灵感需要基于 Reddit 讨论产出多平台内容使用类似「分析 Reddit 上关于 XX 的讨论」的表述

设计原则

原则说明确定性 → 脚本数据采集、排序去重、内容合并等确定性操作使用 Python 脚本创造性 → AI关键词设计、角度规划、内容创作等创造性操作由 AI SubAgent 完成上下文隔离SubAgent 只接收必要信息、只返回极简结果主 Agent 保护主 Agent 不读 piece 文件，避免上下文膨胀断点恢复progress.json 记录流水线进度，支持随时中断恢复

7 步流水线

┌─────────────────────────────────────────────────────┐ │ Step 1: 需求收集 │ │ 初始化运行目录 + progress.json 断点恢复 │ ├─────────────────────────────────────────────────────┤ │ Step 2: 关键词设计 [AI 创造性] │ │ 5 个英文关键词：核心/同义/教程/经验/痛点 │ ├─────────────────────────────────────────────────────┤ │ Step 3: 数据采集 [Python 脚本] │ │ reddit_collector.py → posts_raw.json │ ├─────────────────────────────────────────────────────┤ │ Step 4: 详情获取 [Python 脚本] │ │ reddit_detail_fetcher.py → posts_detail.json │ ├─────────────────────────────────────────────────────┤ │ Step 5: 角度规划 [AI 创造性] │ │ 单 SubAgent → 10 个角度 × 10 种文章类型 │ ├─────────────────────────────────────────────────────┤ │ Step 6: 成品生产 [AI 创造性] │ │ 5 SubAgent × 3 轮（2+2+1）并行 │ │ 每角度 → X 推文 + 小红书笔记 + 公众号文章 │ ├─────────────────────────────────────────────────────┤ │ Step 7: 合并输出 [Python 脚本] │ │ content_merger.py → content.md + 来源表格 │ └─────────────────────────────────────────────────────┘

Step 1: 需求收集

详见 step-1-requirement.md 检查运行目录下是否存在 progress.json 若存在：读取进度，从中断步骤恢复若不存在：向用户确认研究主题和目标受众创建 runs/<topic-slug>/ 目录初始化 progress.json

Step 2: 关键词设计

详见 step-2-keywords.md AI 生成 5 个英文搜索关键词，覆盖： 🎯 核心词（锚定词，必须保留） 🔄 同义词 / 近义词 📚 教程 / How-to 类 💡 经验 / 最佳实践类 😫 痛点 / 问题类输出 → keywords.json

Step 3: 数据采集

详见 step-3-collect.md python3 scripts/python/reddit_collector.py \ --keywords-file runs/<slug>/keywords.json \ --output runs/<slug>/posts_raw.json \ --config config/default.json

Step 4: 详情获取

详见 step-4-details.md python3 scripts/python/reddit_detail_fetcher.py \ --input runs/<slug>/posts_raw.json \ --output runs/<slug>/posts_detail.json \ --config config/default.json

Step 5: 角度规划

详见 step-5-angles.md 单 SubAgent 读取帖子摘要 → 规划 10 个不重复角度 → 匹配文章类型 → angles.json

Step 6: 成品生产

详见 step-6-produce.md 5 个 SubAgent 分 3 轮并行（2+2+1），每角度产出三平台成品 → pieces/angle-{n}.md

Step 7: 合并输出

详见 step-7-merge.md python3 scripts/python/content_merger.py \ --pieces-dir runs/<slug>/pieces \ --posts-file runs/<slug>/posts_detail.json \ --output runs/<slug>/content.md

运行目录结构

每次运行产生以下文件： runs/<topic-slug>/ ├── progress.json # 流水线进度 ├── keywords.json # 5 个关键词 ├── posts_raw.json # 原始帖子列表 ├── posts_detail.json # 帖子详情 + 评论 ├── angles.json # 10 个角度规划 ├── pieces/ # 各角度成品 │ ├── angle-01.md │ ├── angle-02.md │ └── ... └── content.md # 最终合并输出

配置

默认配置文件：config/default.json 可选环境变量（用于 Reddit API 认证，提高速率限制）： REDDIT_CLIENT_ID=your_client_id REDDIT_CLIENT_SECRET=your_client_secret

脚本依赖

仅需 requests 库： pip install requests

参考模板

10 种文章类型 X 推文模板小红书笔记模板公众号文章模板

Category context

Data access, storage, extraction, analysis, reporting, and insight generation.

Source: Tencent SkillHub

Largest current source with strong distribution and engagement signals.

Package contents

Included in package

5 Docs1 Config

SKILL.md Primary doc
reference/article-types.md Docs
reference/wechat-template.md Docs
reference/x-tweet-template.md Docs
reference/xiaohongshu-template.md Docs
runs/openclaw-tips/keywords.json Config