Awesome-openclaw-skills last30days-2

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

install

source · Clone the upstream repo

git clone https://github.com/sundial-org/awesome-openclaw-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/last30days-2" ~/.claude/skills/sundial-org-awesome-openclaw-skills-last30days-2 && rm -rf "$T"

OpenClaw · Install into ~/.openclaw/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/sundial-org/awesome-openclaw-skills "$T" && mkdir -p ~/.openclaw/skills && cp -r "$T/skills/last30days-2" ~/.openclaw/skills/sundial-org-awesome-openclaw-skills-last30days-2 && rm -rf "$T"

manifest: skills/last30days-2/SKILL.md

source content

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:

Key patterns - What are people actually doing that works?
Common mistakes - What should be avoided?
Tools/techniques - Specific methods mentioned
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