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last30days

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

dylanbaker240 source installs☆ 0 Repository stars

Installation

Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.

SkillHub CLI

skillhub install dylanbaker24/last30days-lite

Inspect the source and compatibility requirements, then follow its installation steps.

Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.

View source ↗Guides

Skill instructions

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...

Source information

Source
github
Repository
openclaw/skills
Path
skills/dylanbaker24/last30days-lite
Version
—
Commit
8da7b71e06b68232acc8effe61578aa4a5d9184d
Classification source
rules
Status
active
Visibility
public

These signals come from indexed source analysis and may lag behind changes. Check the current source files.

Extracted content

SKILL.md
# 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**...

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