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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.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
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