reddit-intel

[](LICENSE) [](https://docs.anthropic.com/en/docs/claude-code) [](https://github.com/mindfold-ai/Trellis)

一套 Claude Code skill，帮你从 Reddit 挖掘竞品情报和用户痛点。直接、高效、数据驱动。

这套工具包含 5 个独立的 Claude Code skill，通过 Exa 搜索 Reddit，将用户语言、社区、帖子、评论转化为结构化的 JSONL 数据流，最终生成一份可操作的产品竞争分析报告。

/reddit-kw           /reddit-sub          /reddit-fp           /reddit-ac
keywords.jsonl  -->  subreddits.jsonl --> posts.jsonl     -->  comments.jsonl

| 命令 | 功能 | |------|------| | /reddit-intel-init | 首次初始化：创建目录、配置文件、产品上下文模板 | | /reddit-kw | 从 Reddit 用户语言中发现痛点关键词 | | /reddit-sub | 找到目标用户活跃的社区 | | /reddit-fp | 搜索匹配关键词的痛点帖子（支持传参如 /reddit-fp context loss） | | /reddit-ac | 分析评论区：竞品提及、用户原话、未满足需求 |

keywords.jsonl

{"keyword": "context loss", "category": "pain", "reddit_usage": "Claude keeps forgetting my project context", "source": "r/ClaudeAI"}

subreddits.jsonl

{"name": "r/ClaudeAI", "tier": 1, "members": "451K", "promo_policy": "discussion OK", "strategy": "Pain-point replies"}

posts.jsonl

{"title": "200K context just ain't cutting it", "subreddit": "r/ClaudeAI", "upvotes": 85, "pain_category": "context_loss", "product_solution": "Layered context architecture"}

comments.jsonl (三种类型)

{"type": "competitor", "content": "I switched to Cursor when hitting token limits", "competitor": "Cursor", "sentiment": "positive"}
{"type": "language", "content": "compacting process straight-up nukes crucial context"}
{"type": "need", "content": "Need persistent memory across sessions"}

• Claude Code
• Exa MCP server（Reddit 屏蔽了 Anthropic 爬虫）

Exa MCP 配置示例（添加到 ~/.claude.json 或 .claude/settings.json）：

{
  "mcpServers": {
    "exa": {
      "command": "np