Researches Reddit and X for trending topics in the last 30 days, generates ready-to-use prompts for Claude. Benefits content creators, marketers, and researchers by providing up-to-date, community-driven insights. Integrates with Claude Code for prompt generation.
git clone https://github.com/mvanhorn/last30days-skill.gitThe last30days-skill is a powerful Claude Code skill designed to streamline the research process by aggregating discussions from Reddit and other platforms over the last 30 days. This skill automatically generates copy-paste-ready prompts based on current trends and community sentiments, making it an invaluable tool for anyone looking to stay ahead in their field. By utilizing this skill, users can quickly gather insights and ideas without sifting through countless threads, enhancing their overall productivity. One of the key benefits of the last30days-skill is its ability to save time. While the exact time savings are not quantified, the efficiency gained from automated research can significantly reduce the hours spent on manual data collection and analysis. This skill is particularly beneficial for developers, product managers, and AI practitioners who need to stay updated on the latest trends, user feedback, and best practices in their respective domains. With just 30 minutes of implementation time, users can integrate this skill into their workflows and start generating valuable insights almost immediately. Practical use cases for the last30days-skill are numerous and varied. For instance, legal professionals can use it to research trending prompting techniques for ChatGPT, enhancing their ability to handle complex legal questions. Musicians and marketers can discover the latest viral trends and community sentiments surrounding new music releases, allowing them to tailor their strategies accordingly. Additionally, product teams can generate effective prompts for creating iOS app mockups based on recent discussions, ensuring their designs resonate with current user preferences. The skill also aids in exploring product feedback for the latest tech gadgets, such as the M4 MacBook, providing insights that can drive product development. With an intermediate level of complexity, the last30days-skill requires users to have a basic understanding of AI automation and workflow integration. It is designed to fit seamlessly into AI-first workflows, allowing teams to leverage community-driven insights to inform their decisions and strategies. By incorporating this skill, organizations can enhance their research capabilities, making informed decisions that align with current market trends.
Research trending prompting techniques for ChatGPT to improve legal question handling.
Discover the latest viral trends and community sentiments about new music releases.
Generate effective prompts for creating iOS app mockups based on recent discussions.
Identify best practices for using Remotion with Claude Code from community insights.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/mvanhorn/last30days-skillCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Research the last 30 days of discussions on Reddit and X about [TOPIC] in the [INDUSTRY] for [COMPANY]. Then, generate 3 copy-paste-ready prompts based on the most common themes and questions.
# Research Summary: AI Prompting Trends in the Tech Industry ## Key Themes - **Ethical AI**: Concerns about bias and fairness in AI models - **Prompt Engineering**: Techniques for optimizing AI responses - **Use Cases**: Applications of AI in customer service and content creation ## Common Questions - How can we ensure our AI models are unbiased? - What are the best practices for prompt engineering? - How can AI be used to improve customer service? ## Copy-Paste-Ready Prompts 1. **Ethical AI Prompt**: "Generate a list of potential biases that could affect the output of our AI model in the [INDUSTRY] and suggest methods to mitigate them." 2. **Prompt Engineering Prompt**: "Provide a step-by-step guide on how to optimize prompts for our AI model to improve response accuracy and relevance." 3. **Use Case Prompt**: "Describe innovative ways AI can be integrated into customer service workflows to enhance user experience and efficiency."
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