hyperfx-ai/marketing-skills

reddit

Research Reddit discussions with high signal using scraperedditleads and scrapereddit — pain points, intent discovery, and trend tracking.

查看源码

使用方法

  1. 复制安装命令,在自己的智能体环境安装前先检查源码包。
  2. 从原始文档核对所需工具、凭据和支持的宿主。
  3. 说明输入材料与期望交付物,并对照来源检查输出。
npx skills add https://github.com/hyperfx-ai/marketing-skills --skill reddit

开始前需了解

  • 安装不包含模型订阅、API 额度或访问文件的权限。
  • 仓库星数和安装量反映活跃情况,不等于独立质量或安全测试。
仓库原始内容

按源仓库内容呈现,保留标题、案例、代码、表格、链接以及原文引用的演示图片。

Reddit Research

Use these tools in this order for research quality:

Requirements

  1. scrape_reddit_leads (precision first)
  2. scrape_reddit (expand recall second)

Default Workflow

Step 1: Precision pass with scrape_reddit_leads

Start with focused keyword + subreddit pairs:

  • searches: list of { "keyword": "...", "subreddit": "..." }
  • hours_back: set a clear recency window
  • search_posts=true
  • search_comments=true only when comment evidence is needed
  • sort="new" for monitoring or sort="top" for stable discussions
  • negative_keywords to suppress spam/noise

Use 1-3 specific keywords first. Avoid broad single words.

Step 2: Expand with scrape_reddit

If precision results are too narrow:

  • run scrape_reddit with subreddit start_urls
  • add adjacent keyword variants in searches
  • tune sort and time for recency vs quality
  • keep skip_comments=true when only post-level signal is needed

Query Quality Rules

  • Prefer scoped subreddits before global search.
  • Include negative filters (e.g. onlyfans, porn, nsfw, promo, buy now) when results are noisy.
  • Increase specificity before increasing max_items.
  • If results are sparse, widen subreddits and add semantically related keywords.

Output Requirements

Return:

  • top findings with short rationale
  • source URLs
  • subreddit distribution
  • repeated themes/pain points
  • recommended follow-up keywords

Do not return unfiltered dumps. Prioritize relevance and evidence.

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