last30days

Gather and synthesize community sentiment from Reddit, X, and the web over the last 30 days.

965|142|Updated Mar 8, 2026
One-click install
npx skills add https://github.com/vigolium/vigolium --skill last30days-vigolium
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: last30days
Source: https://github.com/vigolium/vigolium/tree/main/platform/vigolium-audit/src/content/skills/last30days
Command: npx skills add https://github.com/vigolium/vigolium --skill last30days-vigolium

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

The skill solves the problem of quickly understanding what people are saying about a topic right now, across Reddit, X, and the wider web, within the last 30 days.

Core Features & Use Cases

  • Recent cross-source research: Collects community discussions and themes from Reddit, X, and web sources over a rolling 30-day window.
  • Engagement-aware synthesis: Surfaces what’s actually being recommended and debated by weighting signals from Reddit/X engagement and comparing with web coverage.
  • Actionable outputs by intent: Produces different styles of results based on whether the user wants recommendations, prompting-style guidance, news/updates, or general discussion.
  • Use Case: If you want to decide between AI video tools, ask for the best options and get a list of specific tools people are discussing alongside how they’re being used and why.

Quick Start

Ask the AI: "Research nano banana pro prompts across Reddit, X, and the web from the last 30 days and summarize what people recommend and why."

Frequently Asked Questions about last30days

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

FAQPage Schema
How do I find recent community sentiment and recommendations across Reddit and X?

To find recent community sentiment, you can gather and synthesize discussions from Reddit, X, and the web over the last 30 days. This approach surfaces what people are actively recommending and debating based on engagement signals.

What is the best way to research trending topics and news updates from the last 30 days?

The best way to research trending topics is to run a cross-source search that collects discussions from the last 30 days. It synthesizes findings into actionable results like recent news updates or trending recommendations.

Can I search for specific prompting techniques and discussions from Reddit and X?

Yes, you can search for specific prompting techniques using your exact terminology. It parses your intent and gathers relevant prompting-related guidance and community discussions from the last 30 days.

How do I get actionable recommendations for tools based on recent web discussions?

You can get actionable tool recommendations by querying your topic and synthesizing the results. It weights engagement signals from Reddit and X to surface specific tools people are discussing, how they are used, and why.

Does community sentiment research work for comparing options using my own search terms?

Yes, community sentiment research works with your exact terminology to compare options. It parses user intent and applies the query to Reddit, X, and web sources to deliver targeted, actionable comparisons.

What are the limitations of researching community sentiment over a 30 day window?

The main limitation of a 30 day window is that it restricts findings to very recent discussions, potentially missing older historical context. It focuses entirely on synthesizing real-time sentiment and current trends.