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last30days

Research any topic across Reddit, X, and web from the last 30 days. Get current trends, real community sentiment, and actionable insights in 7 minutes vs 2 hours manual research.

Why use this skill?

Use the last30days skill to extract real-time intelligence from Reddit, X, and the web. Save hours on manual research with pattern-detected actionable insights.

skill-install — Terminal

Install via CLI (Recommended)

clawhub install openclaw/skills/skills/brianrwagner/brw-last30days
Or

What This Skill Does

The /last30days research skill is an intelligence-gathering engine designed to bypass the stagnation of static AI models. While standard LLMs rely on outdated training data, this skill performs real-time synthesis across the most active discourse platforms: Reddit, X (formerly Twitter), and the open web. It specifically filters for content created within the last 30 days, ensuring that your research is based on current signals rather than historical noise.

The skill orchestrates multiple high-speed search operations, identifies recurring patterns across platforms, and performs sentiment analysis to gauge how the community truly feels about a topic. It effectively condenses two hours of manual browsing, searching, and filtering into a streamlined seven-minute output, providing you with actionable insights and ready-to-use prompts.

Installation

To integrate this skill into your OpenClaw environment, run the following command in your terminal:

clawhub install openclaw/skills/skills/brianrwagner/brw-last30days

Ensure your dependencies are configured by sourcing your credentials for the Bird CLI and verifying your Brave Search API access. You can confirm your setup with /last30days --check-setup.

Use Cases

  • Trend Discovery: Quickly identify what is trending in fast-moving industries like AI, crypto, or SaaS.
  • Strategy Validation: Determine if your planned marketing tactics align with current industry benchmarks.
  • Competitive Intel: Monitor user discourse regarding specific products to identify strengths and pain points.
  • Sentiment Analysis: Gauge community reaction to new software releases or market changes.

Example Prompts

  1. "/last30days research what the AI community is saying about the latest Claude 3.5 Sonnet updates."
  2. "/last30days what are the most effective growth marketing tactics reported on X and Reddit for B2B SaaS in the last month?"
  3. "/last30days analyze current user sentiment regarding the latest Cursor IDE features compared to GitHub Copilot."

Tips & Limitations

  • Tips: Use specific topics to get higher quality synthesis. If you are researching a niche subject, ensure you have the Reddit Insights MCP server enabled for deeper thread analysis.
  • Limitations: This skill is not intended for academic research or historical documentation. It is strictly for current, web-based discourse. Results may be limited if the topic lacks a significant footprint on the indexed social platforms during the specific 30-day window.

Metadata

Stars1335
Views1
Updated2026-02-23
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Add to Configuration

Paste this into your clawhub.json to enable this plugin.

{
  "plugins": {
    "official-brianrwagner-brw-last30days": {
      "enabled": true,
      "auto_update": true
    }
  }
}

Tags

#research#trends#reddit#twitter#competitive-intel#content-research
Safety Score: 4/5

Flags: network-access, external-api