Last 30 Days (Lite)
/install last30days-lite
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)
birdCLI 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
- 确保已安装 OpenClaw(本地或 Docker 部署)
- 在对话框中输入安装命令:
/install last30days-lite - 安装完成后,直接呼叫该 Skill 的名称或使用
/last30days-lite触发 - 根据 Skill 的参数说明提供必要输入,即可获得结构化输出
Last 30 Days (Lite) 是什么?
Research any topic across Reddit, X/Twitter, and the web from the last 30 days. Synthesizes findings into actionable insights or copy-paste prompts. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件,目前累计下载 3389 次。
如何安装 Last 30 Days (Lite)?
在 OpenClaw 或 Claude Code 对话框中运行命令「/install last30days-lite」即可一键安装,无需额外配置。
Last 30 Days (Lite) 是免费的吗?
是的,Last 30 Days (Lite) 完全免费(开源免费),可自由下载、安装和使用。
Last 30 Days (Lite) 支持哪些平台?
Last 30 Days (Lite) 跨平台运行,可在任意部署了 OpenClaw / Claude Code 的环境中使用(cross-platform)。
谁开发了 Last 30 Days (Lite)?
由 dylanbaker24(@dylanbaker24)开发并维护,当前版本 v1.0.0。