last30days

What This Skill Does

The last30days skill is a specialized research tool for OpenClaw designed to provide hyper-relevant, time-sensitive insights. In an industry where AI models, prompt engineering techniques, and software trends shift on a weekly basis, stale data is often useless. This skill bypasses outdated training data by performing targeted searches across the live web, Reddit, and X (Twitter). By enforcing a strict 30-day freshness filter, it ensures that your information comes from current discussions, recent developer changelogs, and ongoing community sentiment. The skill not only aggregates this data but performs a synthesis, transforming raw search results into actionable patterns, common pitfalls to avoid, and ready-to-use prompting templates for your specific workflows.

Installation

You can integrate this capability into your OpenClaw environment by running the following command in your terminal:

clawhub install openclaw/skills/skills/dylanbaker24/last30days-lite

Ensure that you have your browser-automation dependencies configured, as the skill utilizes Brave Search and the bird CLI to fetch its data. No additional API keys are required beyond the standard configuration already established in your OpenClaw setup.

Use Cases

This skill is perfect for users who need to stay on the bleeding edge of technology. Use it when you need to:

• Validate current prompt engineering strategies for LLMs like Claude or ChatGPT.
• Monitor community sentiment regarding a recent product release or software update.
• Discover "hidden gem" tools that have gained traction within the last month.
• Research consensus on technical troubleshooting for software that changed its API or interface recently.
• Gather real-world user feedback on hardware or software before committing your own resources.

Example Prompts

1. "/last30days what are the most effective prompting techniques for Claude 3.7 Sonnet based on recent Reddit discussions?"
2. "Research the latest community feedback on the M4 MacBook Pro release; focus on real user complaints and recommended accessories."
3. "What are the current top-rated open source agents for task automation? Give me a summary of what people are actually using right now."

Tips & Limitations

To get the best results, focus your queries on specific, fast-moving topics. If you search for something too broad, the synthesis may become too generic. The skill relies on public search indices and social media platforms; therefore, it may have limited visibility into private communities, newsletters, or paywalled content. Always verify high-stakes information by checking the original sources provided in the 'Sources' section of the output. Prioritize results from subreddits or X threads with high engagement to filter out 'engagement farming' content.