hyperfx-ai/marketing-skills

reddit

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

ソースを見る

使い方

  1. インストールコマンドをコピーし、自分の環境へ導入する前にソースを確認します。
  2. 必要なツール、認証情報、対応環境を原文で確認します。
  3. 入力と成果物を指定し、出力を資料と照合します。
npx skills add https://github.com/hyperfx-ai/marketing-skills --skill reddit

開始前の確認

  • 導入にはモデル契約、API枠、ファイルへのアクセス許可は含まれません。
  • スター数や導入数は活動の指標であり、独立した品質・安全性試験ではありません。
リポジトリの原文

見出し、例、コード、表、リンク、参照画像を含む原文を表示しています。

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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