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OpenClaw

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 installations selon la source☆ 0 Étoiles du dépôt

Installation

Suivez les instructions du dépôt pour votre agent. Consultez les fichiers et dépendances avant l’installation.

SkillHub CLI

skillhub install dylanbaker24/last30days-lite

Examinez la source et la compatibilité, puis suivez les étapes d’installation.

Donnez le lien à votre agent et demandez-lui d’examiner instructions et dépendances avant d’expliquer les étapes.

Voir la source ↗Guides

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...

Informations sur la source

Source
github
Repository
openclaw/skills
Path
skills/dylanbaker24/last30days-lite
Version
—
Commit
8da7b71e06b68232acc8effe61578aa4a5d9184d
Source de classification
rules
Statut
active
Visibilité
public

Ces informations proviennent de l’analyse indexée et peuvent être anciennes. Vérifiez les fichiers actuels.

Contenu extrait

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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