last30days – OpenClaw Skill

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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":"📅","requires":{"bins":["bird"]}}}

last30days 📅

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

## 📅 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