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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.

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Status

ACTIVE

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PUBLIC

安装方式

直接复制以下提示词,发送给你的 AI 助手即可完成安装。

请先检查是否已安装 SkillHub 商店,若未安装,请根据 https://skillhub-1388575217.cos.ap-guangzhou.myqcloud.com/install/skillhub.md 安装 SkillHub 商店,然后安装 last30days 技能。 若已安装,则直接安装 last30days 技能。

Overview

Skill Key
dylanbaker24/last30days-lite
Author
dylanbaker24
Source Repo
openclaw/skills
Version
-
Source Path
skills/dylanbaker24/last30days-lite
Latest Commit SHA
8da7b71e06b68232acc8effe61578aa4a5d9184d

Extracted Content

SKILL.md excerpt

# 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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