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last30days-skill

⭐ 53,931•Python•Research Tool

AI agent skill that researches any topic across 18+ platforms with people-first scoring.

ResearchMulti-PlatformAI Agent SkillSocial Intelligence

Overview

last30days-skill is an AI agent skill that searches Reddit, X/Twitter, YouTube, TikTok, Hacker News, Polymarket, GitHub, and 9 more platforms in parallel, then synthesizes a grounded summary. Results are scored by real engagement rather than SEO or editorial curation. Ranked #1 GitHub Trending at 54K+ stars.

Features

  • ✓18+ Parallel Platform Search
  • ✓People-First Scoring
  • ✓Full Content Depth Retrieval
  • ✓Cross-Source Clustering
  • ✓Multiple Research Modes

Installation

/plugin marketplace add mvanhorn/last30days-skill

Pros

  • +Searches 18+ platforms in parallel
  • +People-first scoring beats SEO search
  • +Full content retrieval, not just snippets
  • +54K+ stars and strong community validation
  • +Available across all major AI agent platforms

Cons

  • −Requires API access to multiple platforms
  • −Some platforms require additional components
  • −Higher token usage due to full content retrieval

Alternatives

Documentation

last30days-skill

Overview

last30days-skill is an AI agent skill that researches any topic across 18+ platforms in parallel — including Reddit, X/Twitter, YouTube, TikTok, Hacker News, Polymarket, GitHub, LinkedIn, Bluesky, Perplexity, and more — and then synthesizes a grounded, structured summary. It has reached 54,000+ GitHub stars and has been ranked #1 GitHub Trending Repository of the day.

The skill is described as "an AI agent-led search engine scored by upvotes, likes, and real money — not editors." It is MIT licensed, open source, and contains no tracking or analytics.

Features

  • 18+ parallel platform search: Reddit, X/Twitter, YouTube, TikTok, Instagram Reels, Hacker News, Polymarket, GitHub, Digg, arXiv, Techmeme, LinkedIn, StockTwits, Threads, Pinterest, Xiaohongshu, Bluesky, Perplexity
  • People-first scoring: Results are ranked by real engagement metrics (upvotes, likes, views, real money on Polymarket) rather than SEO or editorial curation
  • Full content depth: Retrieves YouTube transcripts, Reddit top comments, TikTok captions, and Instagram captions — not just titles or metadata
  • Parallel cross-source analysis: Identifies the same story across multiple platforms and merges them into unified topic clusters
  • Multiple research modes: People research, company intelligence, product comparisons, and general trend discovery
  • Structured outputs: Supports Markdown, JSON, and HTML brief formats
  • Multi-platform distribution: Available as a plugin for Claude Code, Codex, Cursor, Copilot, Gemini CLI, and OpenClaw

Installation

# Claude Code (recommended)
/plugin marketplace add mvanhorn/last30days-skill
/plugin install last30days

# Codex, Cursor, Copilot, Gemini CLI
npx skills add mvanhorn/last30days-skill -g

# Claude Desktop
# Download the .mcpb bundle and drag into Extensions

# OpenClaw
clawhub install last30days-official

Quick Start

# Research a topic across all platforms
Research the latest developments in AI agents over the last 30 days.

# Research a specific person
What has Andrew Ng been working on in the last 30 days?

# Compare two products
Compare the community sentiment on Cursor vs Claude Code over the last 30 days.

# Research a company
Summarize everything happening around Anthropic in the last 30 days.

Core Concepts

People-First Scoring

Unlike traditional search engines that prioritize SEO and editorial authority, last30days-skill ranks results by real engagement: how many people upvoted, liked, or invested money in a piece of content. This produces results that reflect genuine community consensus rather than algorithmic or editorial bias.

Cross-Source Clustering

The skill's most powerful feature is its ability to identify the same story across different platforms and merge them. If a launch happens on Hacker News, gets discussed on Twitter, and is covered in a YouTube video, last30days-skill recognizes all three as the same story and presents a unified, cross-platform summary.

Full Content Depth

Rather than returning titles and snippets, the skill retrieves full YouTube transcripts, Reddit top comments, and TikTok captions — giving the AI agent the actual content it needs to synthesize accurate summaries rather than guessing from titles.

Advanced Features

Comparison Mode

Compare two products, people, or companies side by side using community sentiment and engagement data:

Compare the last 30 days of sentiment on LangGraph vs CrewAI across Reddit, Hacker News, and Twitter.

Company Intelligence Mode

Deep-dive into a company's recent activity:

What is Anthropic doing this week? Search across all platforms.

Output Format Selection

Choose structured output format for downstream processing:

Research the topic "AI agent frameworks" and return the results as JSON.

Pros

  • ✅ Searches 18+ platforms in parallel
  • ✅ People-first scoring beats SEO-driven search engines
  • ✅ Full content retrieval, not just snippets
  • ✅ Cross-source clustering produces unified summaries
  • ✅ 54K+ stars and #1 GitHub Trending — strong community validation
  • ✅ MIT license, no tracking, no analytics
  • ✅ Available across all major AI agent platforms

Cons

  • ❌ Requires API access to multiple platforms, which can be rate-limited
  • ❌ Some platforms (TikTok, X) require additional Node.js components
  • ❌ Results quality depends on the underlying platform content availability
  • ❌ Higher token usage due to full content retrieval

When to Use

last30days-skill is ideal for:

  • Competitive intelligence and market research
  • Monitoring brand or product sentiment across social media
  • Staying informed on industry trends without manually browsing platforms
  • Due diligence research on companies, products, or people
  • Synthesizing community feedback on software tools and frameworks

Resources