Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts.
Scanned 2/12/2026
Install to Claude Code
npx -y skills add sundial-org/awesome-openclaw-skills --skill last30days-2 --agent claude-codeInstalls into .claude/skills of the current project.
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---
name: last30days-2
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
```bash
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
```markdown
## 📅 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
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