Last 30 Days Research

What it does

Last 30 Days Research gathers and synthesizes real-time discussion and signals about a user-specified topic from Reddit, X, YouTube, Hacker News, Polymarket and the wider web. It structures the work: parse user intent (topic, target tool, query type), run cross-platform searches, weight engagement signals, and produce a concise expert summary plus statistics and invitation examples. The skill’s outputs are designed to be directly actionable — e.g., ready-to-use prompts, ranked recommendations, or a news-style briefing.

When to use it

Use this skill when you need an up-to-date, cross-platform pulse on what people are saying about a topic in the last 30 days: product launches, trending prompts, competitive comparisons, or emergent news. It’s ideal for prompt engineering (produce paste-ready prompts), market scouting, or quick situational awareness before making decisions.

What's included

• Scripts: scripts/last30days.py (research engine that aggregates Reddit/X/YouTube/HN/Polymarket and emits compact output)
• References: none bundled, but outputs cite X handles, subreddits, channels and Polymarket odds when present
• Instructions: Clear intent-parsing rules, research execution steps, synthesis and stats templates, and invitation patterns for follow-up.

Compatible agents

This skill is geared to agents with Bash and Python tooling available and that can parse structured outputs (Claude Code, local Claude plugins, Codex-style agents).