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Research Reddit communities, discussions, sentiment, and trends. Use when user wants to understand community reactions, find discussions about a topic, or gather Reddit data for research.
Codex または Claude でインストール この Prompt をコピーして Codex、Claude、または他のアシスタントに貼り付けると、Skill ページを確認してインストールできます。
SOC 職業分類に基づく
Cold email outreach agent for plusvibe.ai. Campaign planning, subject line optimization, audience segmentation, drip sequence design, deliverability strategy. Writes all outputs to MemOS email-mkt-cube.
Master research orchestration skill. Decomposes any research query into parallel domain streams, spawns specialized researcher agents, and synthesizes results into a comprehensive intelligence brief. Replaces deep-research for multi-stream research tasks. Use Opus-class model for this role.
Domain researcher for academic and intellectual discourse — orchestrates arxiv and hn-research to cover cutting-edge papers, citation landscapes, and technical community reaction on Hacker News. Returns a structured academic intelligence report.
Implement Karpathy's autoresearch self-improving agent loop framework. Use when researching autonomous AI research agents, self-optimizing systems, or integrating test-time compute scaling into agent workflows.
Domain researcher for code and ML ecosystem signals — orchestrates github-research and huggingface-hub to produce a unified code intelligence report covering repos, releases, models, datasets, and community activity.
Deep research protocol — ALWAYS load this skill before any research task. For multi-stream research with parallel domain agents, use research-coordinator instead.
| name | reddit-research |
| description | Research Reddit communities, discussions, sentiment, and trends. Use when user wants to understand community reactions, find discussions about a topic, or gather Reddit data for research. |
Research Reddit communities, discussions, and sentiment using web extraction and search.
# Extract subreddit info
web_extract(urls: ["https://old.reddit.com/r/PaperclipAI/"])
# Extract specific post
web_extract(urls: ["https://old.reddit.com/r/LocalLLaMA/comments/example/"])
# Search Reddit via web
web_search(query: "Paperclip AI agents site:reddit.com")
# Find discussions about a topic
web_search(query: "Paperclip AI orchestration reddit discussion")
web_search(query: "site:reddit.com paperclip zero human companies")
| Task | Approach |
|---|---|
| Find subreddit | web_search("PaperclipAI subreddit") then extract |
| Hot posts | web_extract("https://www.reddit.com/r/subreddit/hot/") |
| Search posts | web_search("paperclip AI agents site:reddit.com") |
| Post comments | web_extract("https://www.reddit.com/r/.../comments/...") |
# Find related subreddits
web_search(query: "site:reddit.com AI agent orchestration communities")
web_search(query: "site:reddit.com multi-agent framework discussion")
www.reddit.com returns a JavaScript shell — Firecrawl gets nothing useful.
Always use old.reddit.com — it's plain HTML and Firecrawl returns 50K+ chars of real content.
# Rewrite any reddit URL before fetching:
url = url.replace("www.reddit.com", "old.reddit.com")
# e.g. https://www.reddit.com/r/MachineLearning/ → https://old.reddit.com/r/MachineLearning/
Update the patterns table above accordingly:
| Hot posts | web_extract("https://old.reddit.com/r/subreddit/hot/") |
| Post comments | web_extract("https://old.reddit.com/r/.../comments/...") |
old.reddit.com before any web_extract callsite:reddit.com in web_search for URL discovery, then rewrite to old. for extraction