- 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":"[Truncated]","bins":"[Truncated]"},"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](https://github.com/mvanhorn/last30days-skill) (v2.9.5) by [@mvanhorn](https://github.com/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:
1. **TOPIC**: What they want to learn about
2. **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
1. **Reddit** — queries `reddit.com/r/[subreddit]/search.json` by relevance
2. **X/Twitter** — uses `bird` (xurl) for recent posts
3. **Hacker News** — queries `hn.algolia.com` API
4. **YouTube** — runs `summarize` skill for video transcripts
5. **Polymarket** — queries `polymarket.com` API for active prediction markets related to the topic
6. **Web** — Brave Search API
Results are scored by engagement signals, cross-platform convergence is detected, and a synthesis is generated with inline citations.
## Output Format
```
📰 Research: {TOPIC}
Date: {date} | Sources: Reddit, X, HN, YouTube, Web
## Key Findings
- [3-5 bullet points with citations]
## What People Are Saying
[Synthesis of top findings across all sources]
## YouTube Insights
[Video titles, channels, key moments]
## Reddit Discussions
[Top threads, top comments, upvote counts]
## X/Twitter Perspective
[Key posts, handles, engagement]
## Polymarket Insights
[Active prediction markets, consensus odds, question clarity]
## Web Findings
[News, blogs, tutorials discovered]
## Stats
- Reddit: {n} results
- X: {n} results
- HN: {n} results
- YouTube: {n} results
- Polymarket: {n} results
- Web: {n} results
Saved to: ~/Documents/Last30Days/{topic-slug}.md
```
## Environment Variables
| Variable | Required | Purpose |
|----------|----------|---------|
| `BRAVE_API_KEY` | Yes | Brave Search for web results |
| `AUTH_TOKEN` | No | X/Twitter cookie auth for bird |
| `CT0` | No | X/Twitter cookie auth for bird |
## Auto-Save
Every run saves a `.md` file to `~/Documents/Last30Days/` with the full briefing. Filename: `{topic-slug}-{date}.md`
GitHub에서 보기