Reddit Intel — Development skill for Claude Code

reddit-intel

reddit-intel 把 Reddit 上零散的英文讨论，整理成可直接汇报的双语 Excel 情报表，用于竞品分析、用户洞察和舆情监控。

它不是只抓数据，而是把关键词、抓取、分类、翻译、打标、竞品提取、行动建议和 Excel 导出串成一个完整流程。

它解决什么问题

很多 Reddit 工具只能做到两步：

1. 抓帖子
2. 导出原始数据

问题是，Reddit 天然是英文社区，API 还有抓取数量限制。就算抓到了数据，很多时候你拿到的也只是原始 JSON / CSV，最后还是要自己清洗、翻译、分类和写结论。

`reddit-intel` 想解决的，就是中间这段最费时间的工作。

为什么它和普通 Reddit 工具不一样

`reddit-intel` 不只是抓取，而是把数据整理成可直接汇报的结果：

• 多排序扩量：不是只跑单一搜索，而是合并 relevance + hot + new + top，尽量绕开 Reddit API 单一排序抓取量偏小的问题
• 中文双语输出：Reddit 原始讨论是英文，结果自动整理成中文可读内容，同时保留原文
• 自动打标和分类：不只是原始帖子列表，还会补充情绪、意图、竞品、使用场景和行动建议
• 行业预设框架：不是裸情绪分析，而是按产品研究和行业舆情等框架组织结果
• Excel 交付物：最终不是几句抽象分析，而是一份能进入团队工作流的 Excel 报告

Skill 能力

一句话触发，一份 Excel 结果。

最终产出：

• reddit_intel_[关键词]_[日期].xlsx
• Sheet 1「舆情数据」：逐条帖子结构化整理
• Sheet 2「概览」：基础统计、情绪分布、内容质量、分类分布、高价值信号、竞品提及、综合行动建议

reddit-intel

**Turn Reddit discussions into a bilingual Excel report for competitor research, customer insight, and market monitoring.**

Give it a keyword and it returns a report-ready bilingual Excel with post collection, user intent, sentiment, competitors mentioned, use cases, comment highlights, and next-step action items.

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The problem this solves

There is a lot of useful product and market signal on Reddit. The hard part is not getting posts. The hard part is turning scattered discussions into something a product, growth, or research team can actually use.

• Too many threads to read manually
• Too much noise to summarize cleanly
• Most crawlers stop at raw data export
• Generic AI summaries sound plausible, but rarely lead to concrete decisions

*reddit-intel* is not just a Reddit scraper. It turns Reddit discussions into a **structured intelligence sheet** your team can review, filter, and act on.

It helps you:

• collect relevant posts and top comments
• classify them with industry-aware frameworks
• extract explicit competitor mentions and switching signals
• generate Chinese summaries and concrete action items
• export a report that fits directly