home / skills / openclaw / skills / last30days-lite

last30days-lite skill

/skills/dylanbaker24/last30days-lite

This skill researches recent discussions across Reddit, X/Twitter, and the web to synthesize actionable insights and ready-to-paste prompts.

npx playbooks add skill openclaw/skills --skill last30days-lite

Review the files below or copy the command above to add this skill to your agents.

Files (2)
SKILL.md
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---
name: last30days
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":"πŸ“…","requires":{"bins":["bird"]}}}
---

# last30days πŸ“…

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
## πŸ“… 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

Overview

This skill researches any topic across Reddit, X/Twitter, and the web using only the last 30 days of public discussion. It returns a concise synthesis of what practitioners are doing, common pitfalls, and ready-to-use copy-paste prompts. The goal is fast, actionable insight for fast-moving topics where recency matters.

How this skill works

The skill runs a freshness-filtered web search (Brave) and targeted site searches on Reddit, then pulls recent X/Twitter posts via the bird CLI when available. Promising links are fetched for deeper context and the raw signals are distilled into patterns, mistakes, tools/techniques, and a ready-to-use prompt. Outputs prioritize practitioner reports, high-engagement posts, and verified-signal sources rather than generic SEO content.

When to use it

  • You need up-to-date prompting techniques for LLMs, image models, or music tools.
  • You want to spot recent trends or shifts in community recommendations.
  • You need rapid product feedback or sentiment from active users.
  • You want copy-paste prompts that reflect the latest best practices.
  • You’re researching a breaking topic where older articles are likely obsolete.

Best practices

  • Filter searches to the past month and prioritize posts with engagement or verified authors.
  • Focus on practitioner subreddits and niche communities for applied experience.
  • Use bird/X search to capture short-form experimentation and novel techniques.
  • Fetch full articles only for promising leads to avoid noise and save time.
  • Synthesize into patterns, common mistakes, tools, and an explicit copy-paste prompt for immediate use.

Example use cases

  • Prompt research: discover current ChatGPT, Claude, or Midjourney tactics that actually work.
  • Trend discovery: identify which approaches are gaining traction this month.
  • Product feedback: summarize recent user sentiment about a device, feature, or release.
  • Suno or music model prompts: collect recent working prompt formats people share.
  • Hardware sentiment: see what users say about the latest MacBook or GPU in the last 30 days.

FAQ

Do I need API keys to run this research?

No extra API keys are required; the skill uses Brave search and the bird CLI for X/Twitter (bird is optional).

Can it fetch full posts and long articles?

Yes β€” the skill can web_fetch full content for selected URLs when deeper context is needed, with configurable max character limits.