last30days

Research recent topics across social, market, and web sources into ranked, cited findings.

1|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/bobvarkey/openclaw-workspace --skill last30days-bobvarkey
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: last30days
Source: https://github.com/bobvarkey/openclaw-workspace/tree/main/last30days-skill
Command: npx skills add https://github.com/bobvarkey/openclaw-workspace --skill last30days-bobvarkey

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, and includes scripts (resource) components.

What problem does it solve?

It replaces stale web research with current, engagement-backed insight from the last 30 days, so you can quickly understand what real people are discussing, recommending, and debating.

Core Features & Use Cases

  • Multi-source research: Searches Reddit, X, YouTube, TikTok, Instagram, Hacker News, Polymarket, GitHub, and web sources.
  • Entity-aware planning: Resolves handles, subreddits, creators, and repos before searching so results target the right people and communities.
  • Grounded synthesis: Merges, ranks, and deduplicates results using real engagement signals, then produces a concise brief with citations.
  • Use case: Research a person before a meeting, compare tools, track breaking news, or generate copy-paste-ready prompts for a target app.

Quick Start

Use the last30days skill to research OpenClaw and summarize what people are saying across Reddit, X, YouTube, and the web.

Frequently Asked Questions about last30days

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

FAQPage Schema
How do I research recent social media trends and discussions across multiple platforms?

Researching recent social media trends involves searching platforms like Reddit, X, YouTube, and TikTok, then deduplicating and ranking results by real engagement signals to produce a concise, cited findings brief.

What is the best way to find current engagement-backed insights for competitive analysis?

The best way to find current engagement-backed insights is to search across web and social sources from the last 30 days, score the results by engagement, and generate a grounded synthesis with citations.

Can I resolve specific user handles and subreddits before searching social platforms?

Yes, entity-aware planning resolves specific user handles, subreddits, creators, and repositories before searching, ensuring your social search accurately targets the right people and communities.

Does multi-source social search work for tracking breaking news and creator research?

Multi-source social search works for tracking breaking news and creator research by applying fallback search behavior and deduplication across Hacker News, GitHub, and social platforms to deliver ranked findings.

How do I generate copy-paste-ready prompts based on current web research?

To generate copy-paste-ready prompts based on current web research, you synthesize ranked findings from the last 30 days into a concise brief and format the output specifically for your target application workflow.

What are the limitations of researching topics without recency and engagement scoring?

Researching topics without recency and engagement scoring often yields stale web results, missing current debates and recommendations, whereas scoring 30-day engagement signals ensures relevant, grounded findings.