last30days

Name: last30days
Availability: InStock
Author: antonyfmunoz

Research Reddit, X, YouTube, and web discussions from the last 30 days.

1|Updated Mar 11, 2026

Search Tags:#research #prompt engineering #web search #reddit #trend analysis #x #youtube transcripts

Ready to run

npx skills add https://github.com/antonyfmunoz/OS --skill last30days-antonyfmunoz

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: last30days
Source: https://github.com/antonyfmunoz/OS/tree/main/.agents/skills/last30days
Command: npx skills add https://github.com/antonyfmunoz/OS --skill last30days-antonyfmunoz

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires node, python3, yt-dlp, and includes scripts (resource) components.

What problem does it solve?

Keeps you current by researching real discussions from the last 30 days, then turns what’s working into prompts you can use immediately.

Core Features & Use Cases

Multi-source recency research: Pulls signals from Reddit, X, YouTube (via transcript extraction), and optionally web sources within a strict recent window.
Engagement-weighted synthesis: Ranks findings using relevance, recency, and engagement signals (e.g., Reddit upvotes/comments, X likes/reposts, YouTube views/likes).
Prompt-ready outputs: Produces a synthesized expert briefing and copy-paste prompts tailored to your topic and (optionally) your target tool.
Always-on watchlist variant: Supports scheduled research and accumulation into a local SQLite database with briefings and history search.

Quick Start

Ask last30days to research a topic and produce prompts by saying: last30days kanye west.

Frequently Asked Questions about last30days

High-intent search queries and answers about installing and using this skill.

FAQPage Schema

How do I research recent Reddit and YouTube discussions for trend analysis?▼

Research recent Reddit and YouTube discussions by querying a topic across multiple sources within a strict 30-day window. The tool extracts YouTube transcripts and pulls Reddit posts, ranking findings by engagement signals like upvotes and views to synthesize actionable insights.

Can I generate prompt engineering recommendations from current web search trends?▼

Yes, you can generate prompt engineering recommendations from current web search trends. The tool synthesizes engagement-weighted findings from the last 30 days into a structured expert briefing and produces copy-paste prompts tailored to your specific topic and target tool.

Do I need Python3 and yt-dlp installed to extract YouTube transcripts for research?▼

Yes, you need Python3 and yt-dlp installed to extract YouTube transcripts for research. The tool specifically relies on these dependencies, alongside Node.js, to pull signals from YouTube videos and execute its multi-source recency research workflows.

What is the best way to track topic trend analysis over time using social media?▼

The best way to track topic trend analysis over time is using the always-on watchlist variant. It supports scheduled research across X and Reddit, accumulating findings into a local SQLite database to provide historical searches and recurring engagement-weighted briefings.

Does this tool support recency-bounded web search and engagement-aware ranking?▼

Yes, this tool supports recency-bounded web search and engagement-aware ranking. It optionally pulls web sources within a strict recent window and ranks findings using relevance, recency, and engagement signals like X likes, reposts, and YouTube views.

Why are my web search results not showing recent current-events discussions?▼

Web search results may lack recent current-events discussions without a recency-bounded collection method. This tool enforces a strict 30-day window across Reddit, X, and YouTube, ensuring engagement-aware ranking isolates only the most relevant recent community signals.