| name | last30 |
| version | 1.1.0 |
| description | Deep research across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web from the last 30 days. Synthesizes findings into a grounded, cited briefing. Use when: researching trends, doing competitive analysis, answering 'what's the latest on X', or comparing tools/products. |
| homepage | https://github.com/ralphoei/last30 |
| author | ralphoei |
| license | MIT |
| original-author | mvanhorn |
| original-repo | https://github.com/mvanhorn/last30days-skill |
| metadata | {"clawdbot":{"emoji":"📰","requires":{"env":["BRAVE_API_KEY"],"bins":["python3","node"]},"files":["scripts/*"],"tags":["research","deep-research","reddit","x","twitter","youtube","hackernews","hn","polymarket","web-search","trends","recency","news","citations","multi-source"]}} |
last30 — Research Any Topic from the Last 30 Days
Attribution: Simplified port of mvanhorn/last30days-skill (v2.9.5) by @mvanhorn. Original uses ScrapeCreators API for Reddit/TikTok/Instagram; this port uses free public APIs (Reddit JSON, HN Algolia, Brave Search) for a lightweight, zero-API-key setup.
Research any topic across Reddit, X/Twitter, Hacker News, YouTube, Polymarket, and the web. Surface what people are actually discussing, recommending, debating, and betting on right now.
Trigger Phrases
/last30 [topic]research [topic]what's trending in [topic][topic] vs [topic]/last30days [topic]
Prerequisites
BRAVE_API_KEY env var must be set (web search)AUTH_TOKEN + CT0 env vars (optional, for X search via bird)summarize skill available for YouTube transcripts
Parse User Intent
Before running any tools, parse the input:
- TOPIC: What they want to learn about
- QUERY_TYPE:
RECOMMENDATIONS — "best X", "top X", "what X should I use"NEWS — "what's happening with X", "X news"COMPARISON — "X vs Y", "X versus Y"GENERAL — anything else
Display your parsing:
📰 Researching: {TOPIC}
Type: {QUERY_TYPE}
Sources: Reddit, X, Hacker News, YouTube, Polymarket, Web
Starting research (2-5 min)...
Quick Mode
Use --quick for faster, fewer results:
- 10 results per source instead of 25
Deep Mode
Use --deep for comprehensive research:
- 40 results per source
- Full synthesis
Usage Examples
/last30 AI video tools
/last30 best CRM software
/last30 figma vs canva
/last30 openai news --deep
/last30 rust vs go --quick
How It Works
- — queries by relevance
