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AI Agent2026
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last30days-skill

Researches the last 30 days of public discussion across Reddit, X, Bluesky, YouTube, TikTok, Instagram, HN and Polymarket, then synthesizes a citation-rich briefing and copy-paste prompts. Multi-source scoring, comparative mode, and optional watchlist; requires API/auth for some sources.

Introduction

Community attention — not search-indexed pages — often reveals what practitioners and creators actually value right now. /last30days automates that short-horizon signal-gathering: it scans social platforms, video transcripts and prediction markets for the previous 30 days, scores and deduplicates results, and produces a grounded narrative plus ready-to-use prompts.

What Sets It Apart
  • Multi-signal, time-windowed research: focuses strictly on the last 30 days and merges Reddit, X/Bluesky, YouTube, TikTok, Instagram, Hacker News, Polymarket and web signals so you see what’s recently rising across communities. This prioritizes emergent trends over evergreen SEO content.
  • Prediction-market & engagement-aware scoring: Polymarket positions and platform engagement (upvotes, likes, view counts, top comments) are folded into relevance scoring, so you can surface not only “what people say” but also what they’re betting or amplifying.
  • Comparative and watchlist modes: comparative mode produces side-by-side research for X vs Y queries; the open/watchlist variant accumulates briefings over time for recurring topics, enabling short-term monitoring and historical lookback.
  • Integration-first design for Claude Code / Codex: shipped as a Claude Code skill (and Codex-compatible variant), it emits prompts and copy-ready outputs rather than just raw links—aimed at people who want immediate, actionable next steps.
Who it's for — and tradeoffs

Great fit if you need a quick, evidence-backed snapshot of recent community sentiment or prompt templates (product teams, creators, prompt engineers, journalists tracking social reaction). It accelerates trend discovery and prompt research by surfacing where engagement concentrates. Look elsewhere if you require fully private research (queries and topic strings are sent to third-party search APIs and scraping backends), sub-minute results (a typical run can take 2–8 minutes for deep searches), or exhaustive academic literature review (it's optimized for social + market signals, not scholarly indexing).

Quick signal points
  • Public repo with active community interest (≈5.9k stars as of creation). First published on 2026-01-23.
  • Requires one or more API keys / tokens for best coverage (ScrapeCreators, X auth or xAI key, yt-dlp for richer YouTube transcripts). These requirements enable richer sources but mean setup is needed before full functionality is available.

The core insight: when you need to know "what people paying attention already know" in the past month, this skill turns noisy cross-platform chatter and market moves into a concise, citation-backed briefing and practical prompts—trading setup and runtime for actionable, community-grounded intelligence.

Information

  • Websitegithub.com
  • Authorsmvanhorn
  • Published date2026/01/23

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