The Claude Code Skill My Smartest Friends Use

Key Concepts

• Last 30 Days: A Cloud Code skill leveraging trending data from X (formerly Twitter), Reddit, and the web to enhance prompt quality and provide up-to-date information.
• Cloud Code: A platform allowing users to create custom skills and workflows within the Claude AI environment.
• API Keys: Credentials required to access data from platforms like OpenAI (for Reddit access) and X (for timeline data).
• Compound Engineering: A methodology for project planning and execution, utilizing AI-generated research as a starting point.
• Prompt Engineering: The art of crafting effective prompts to elicit desired responses from large language models (LLMs).
• Multi-Tenant Architecture: A software architecture where a single instance of the software serves multiple customers.
• SaaS (Software as a Service): A software distribution model where applications are hosted by a vendor and made available to customers over the internet.
• MVP (Minimum Viable Product): A version of a product with just enough features to be usable by early customers.

Leveraging Trending Data with "Last 30 Days" for Enhanced Cloud Code Prompts

This discussion centers around “Last 30 Days,” a newly released Cloud Code skill designed to provide users with a “superpower” by grounding their prompts in current, trending data. The tool aggregates information from X, Reddit, and the web, focusing specifically on the last 30 days, to deliver highly relevant and optimized prompts for Claude AI.

The Problem & Solution

Matt Van Horn, the founder of Last 30 Days, identified a key challenge in the rapidly evolving AI landscape: the difficulty of staying current with the latest conversations and best practices across platforms like X, Reddit, and GitHub. He built Last 30 Days to address this, enabling users to quickly become “expert” on any topic by leveraging the collective intelligence of these platforms. As Van Horn states, “Everything is moving so quickly in AI and it’s nearly impossible to keep up with the conversation…to be able to just become expert on any topic…very very quickly is why I built this.”

How Last 30 Days Works: A Step-by-Step Process

1. Installation: Users install the skill within the Cloud Code environment.
2. Prompt Input: The user initiates a search by typing “last 30 days” followed by their desired topic (e.g., “most popular rap songs”).
3. Data Aggregation: The skill simultaneously queries Reddit, X (using an XAI key), and the web.
4. Result Compilation: Last 30 Days compiles the aggregated data into a response, providing insights and context.
5. Prompt Generation/Refinement: Users can then utilize this information to refine their prompts for Claude, or directly leverage the generated content (e.g., email drafts).

Real-World Examples & Use Cases

Several examples were demonstrated during the conversation:

• Rap Song Research: Identifying the most popular rap songs based on recent discussions on Reddit, X, and music data sources. The tool surfaced threads from hip-hop communities, Billboard data, and Spotify trends.
• Cold Email Frameworks: Generating high-performing cold email frameworks tailored to a specific ICP (Ideal Customer Profile). The tool identified current frameworks like ADA (Attention, Desire, Action) and intention-based data triggers. A specific example involved crafting emails to Greg Eisenberg, focusing on the presenter’s background as a “smart oven entrepreneur” and AI tool development.
• X Follower Growth: Researching strategies for increasing X followers, revealing that consistent engagement through replying to posts (“reply guy” strategy) is currently the most effective tactic. The tool suggested posting at least once a day, five days a week, and actively engaging with larger accounts.
• Cloudbot Enterprise Version: Using Last 30 Days to research Cloudbot’s use cases and potential for an enterprise-level commercial offering. This led to a generated plan outlining technical components and a proposed architecture.
• Web Design Trends: Identifying current webpage design trends, specifically highlighting a Shopify winter edition design gaining traction, and generating a Figma prompt based on those trends.

Technical Requirements & Considerations

Using Last 30 Days requires:

• Cloud Code Account: A paid subscription to the Cloud Code platform.
• OpenAI Key: Necessary for accessing Reddit data through OpenAI’s API integration.
• XAI Key: Required to access X timeline data. Van Horn is exploring the possibility of utilizing Reddit API keys in the future.
• Terminal/Shell Access: Some level of comfort with using a terminal or shell environment is beneficial, although assistance from tools like ChatGPT can mitigate this requirement.

Building an Enterprise Solution with AI Assistance

The demonstration showcased a powerful workflow for building a commercial product. Van Horn used Last 30 Days to research Cloudbot, then leveraged the results to generate a plan for an enterprise version, including technical components and a proposed architecture. He then used Compound Engineering to further refine the plan and potentially automate the build process. This highlights the potential of AI tools to accelerate product development and reduce the need for extensive manual research.

Key Arguments & Perspectives

The core argument is that leveraging recent, trending data significantly improves the quality and effectiveness of prompts for LLMs like Claude. Van Horn emphasizes that the speed of change in the AI landscape necessitates tools like Last 30 Days to stay informed and competitive. He positions the tool as a way to “learn kung fu” – rapidly acquire expertise on any topic without needing to spend hours reading and researching.

Notable Quotes

• Matt Van Horn: “Everything is moving so quickly in AI and it’s nearly impossible to keep up with the conversation…to be able to just become expert on any topic…very very quickly is why I built this.”
• Matt Van Horn: “It kind of reminds me in the Matrix when he gets plugged in and it's like I know kung fu, right? So to be able to do that for any topic very very quickly is is why I built this.”
• Craig (Host): “These are people these are founders, solopreneurs, people building businesses. Um they're always looking for unfair advantages.”

Synthesis & Conclusion

Last 30 Days represents a practical solution to the challenge of information overload in the rapidly evolving AI space. By aggregating and synthesizing trending data from key platforms, it empowers users to create more effective prompts, accelerate research, and ultimately build better products. The tool’s integration with Cloud Code and its reliance on readily available API keys make it accessible to a wide range of users, particularly those already invested in the Claude ecosystem. The demonstration highlighted the potential for AI-assisted product development, showcasing how tools like Last 30 Days and Compound Engineering can significantly reduce the time and effort required to bring new ideas to market.