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BytesAgainBytesAgain
πŸ¦€ ClawHub

Last 30 Days (Lite)

by @dylanbaker24

Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts.

Versionv1.0.0
Downloads3,832
Installs11
Stars⭐ 2
TERMINAL
clawhub install last30days-lite

πŸ“– About This Skill


name: last30days description: Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts. metadata: {"clawdbot":{"emoji":"πŸ“…","requires":{"bins":["bird"]}}}

last30days πŸ“…

Research any topic using recent (last 30 days) discussions from Reddit, X/Twitter, and the web. Returns synthesized insights and actionable prompts.

Overview

The AI world reinvents itself monthly. This skill keeps you current by researching what people are actually saying *right now* - not what worked six months ago.

What it does:

  • Searches the web, Reddit, and X/Twitter with freshness filters (last 30 days)
  • Finds real practitioner experiences, not just SEO content
  • Synthesizes findings into actionable insights
  • Generates copy-paste prompts based on current best practices
  • Best for:

  • Prompt research (what techniques actually work for ChatGPT, Midjourney, Claude, etc.)
  • Trend discovery (what's viral, what people are recommending)
  • Product feedback (what do real users think about X?)
  • Fast-moving topics where recency matters
  • Requirements:

  • Brave Search (built into Clawdbot)
  • bird CLI for X/Twitter (optional but recommended)
  • No extra API keys needed
  • Usage

    When user asks for recent info on a topic, or uses "/last30days [topic]":

    Step 1: Web Search (Brave with freshness)

    web_search(query="[topic]", freshness="pm", count=5)
    
  • pm = past month
  • Also try: pd (24h), pw (week)
  • Step 2: Reddit Search

    web_search(query="site:reddit.com [topic]", freshness="pm", count=5)
    
    Focus on r/ClaudeAI, r/ChatGPT, r/LocalLLaMA, r/MachineLearning, r/StableDiffusion, etc.

    Step 3: X/Twitter Search

    bird search "[topic]" -n 10 --plain
    
    Look for practitioners sharing real experiences, not just engagement bait.

    Step 4: Deep Dive (optional)

    For promising URLs, use web_fetch to get full content:
    web_fetch(url="https://reddit.com/...", maxChars=10000)
    

    Step 5: Synthesize

    Combine findings into: 1. Key patterns - What are people actually doing that works? 2. Common mistakes - What should be avoided? 3. Tools/techniques - Specific methods mentioned 4. Copy-paste prompt (if applicable) - Ready-to-use prompt incorporating best practices

    Output Format

    ## πŸ“… Last 30 Days: [Topic]

    What's Working

  • [Pattern 1]
  • [Pattern 2]
  • Common Mistakes

  • [Mistake 1]
  • Key Techniques

  • [Technique with source]
  • Sources

  • [URL 1] - [brief description]
  • [URL 2] - [brief description]
  • Ready-to-Use Prompt (if applicable)

    [Generated prompt based on findings]

    Examples

  • /last30days Midjourney v7 prompting
  • /last30days Claude Code best practices
  • /last30days what are people saying about M4 MacBook
  • /last30days Suno music prompts that actually work
  • Notes

  • No extra API keys needed (uses Brave + bird)
  • Bird requires X/Twitter cookies (already configured)
  • Focus on signal over noise - prioritize upvoted content and verified practitioners
  • πŸ’‘ Examples

  • /last30days Midjourney v7 prompting
  • /last30days Claude Code best practices
  • /last30days what are people saying about M4 MacBook
  • /last30days Suno music prompts that actually work
  • πŸ“‹ Tips & Best Practices

  • No extra API keys needed (uses Brave + bird)
  • Bird requires X/Twitter cookies (already configured)
  • Focus on signal over noise - prioritize upvoted content and verified practitioners