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Last 30 Days Topic Research

Knowledge Management Updated 2026.08.30

Paste the following prompt into your AI chat to install this skill:

Follow https://skillhub.cn/install/skillhub.md and install @org-02qudk26/last30days-cn into your AI assistant.

About this skill

Problem

When you need a 30-day signal on a technical topic, manually scanning Reddit, X, and blogs leaves you with fragmented evidence: which tools are repeatedly recommended, which prompts are actually usable, and which updates are current.

How It Works

last30days parses input into TOPIC, TARGET_TOOL, and QUERY_TYPE, then runs in one of three modes: Reddit + X + WebSearch, a single platform + WebSearch, or WebSearch only. It gives more weight to sources with engagement signals, extracts recurring cross-source patterns, concrete names, recommendation lists, news progress, and prompt formats. Before presenting results, it turns recommendation queries into named items with mention counts and prompt queries into reusable formats.

Boundaries

It suits 30-day trend research, tool recommendations, news tracking, and prompt learning, but it is not a substitute for long-term literature search, contract review, or real-time market data. It can run without API keys, though engagement metrics are missing; conclusions still depend on search quality and recency.

Use Cases

  • Before choosing Claude Code skills, compile specific skills repeatedly named on Reddit and X in the last 30 days.
  • Before writing Midjourney prompts, gather recently recommended formats, keywords, and common pitfalls from community discussion.
  • Track the latest OpenAI announcements by summarizing news, updates, and implications from the past 30 days.
  • Assess whether an AI tool is worth trying by reviewing specific pros, cons, and alternatives in user discussions.

Best For

  • AI engineers who need recent 30-day examples for a prompt library.
  • Architects who need community evidence for a technology-selection meeting.
  • Product editors who summarize competitor announcements from the last 30 days for weekly notes.
  • Product owners researching tool discussion and user pain points.