py-gpt is a versatile desktop AI assistant that uses cutting-edge models like GPT-5 and Gemini, offering features such as voice recognition, image generation, and web search. Compatible with Linux, Windows, and Mac, it enhances productivity across various tasks.
claude install szczyglis-dev/py-gpthttps://pygpt.readthedocs.io
1. **Install py-gpt**: Download and install the py-gpt desktop application from the official website. Ensure compatibility with your operating system (Linux, Windows, or Mac). 2. **Integrate Productiv Data**: Connect your Productiv account to py-gpt. This may involve entering API keys or authentication credentials. 3. **Formulate Your Query**: Use the prompt template provided to structure your request. Replace placeholders like [COMPANY], [SPECIFIC_METRIC], [TIME_PERIOD], and [SPECIFIC_GOAL] with relevant details. 4. **Execute the Query**: Input your structured query into py-gpt and execute it. The AI will process the data and generate a summary report with visualizations. 5. **Review and Act**: Analyze the generated report, identify key insights, and implement the recommended actions to improve financial performance.
Automating customer support responses to improve response times and efficiency.
Generating marketing content tailored to specific audiences based on data analysis.
Conducting market research by analyzing trends and summarizing findings.
Enhancing team collaboration through shared notes and task management.
claude install szczyglis-dev/py-gptgit clone https://github.com/szczyglis-dev/py-gptCopy 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.
Use py-gpt to analyze the financial data from Productiv for [COMPANY]. Identify trends in [SPECIFIC_METRIC] over the last [TIME_PERIOD]. Generate a summary report highlighting key insights and recommendations for [SPECIFIC_GOAL]. Include visualizations where applicable.
Based on the Productiv data for TechCorp, here are the key insights for Q3 2023: 1. **Revenue Growth**: There was a 15% increase in recurring revenue compared to Q2, driven primarily by the expansion of existing accounts. The top three contributing products were CloudSuite (40%), DataAnalytics (30%), and AITools (20%). 2. **Customer Acquisition Costs**: The CAC increased by 12% due to higher marketing spend on digital advertising. However, the LTV:CAC ratio remains healthy at 4.2x. 3. **Churn Rate**: The churn rate decreased slightly to 5.3% from 5.8% in Q2. The primary reason for churn was competitive pricing, particularly among SMB customers. 4. **Gross Margin**: Gross margins improved to 78% from 75% in Q2, primarily due to better utilization of cloud resources and economies of scale in customer support. Recommendations: - **Increase Focus on SMB Segment**: Develop a targeted campaign to address competitive pricing concerns. - **Optimize Marketing Spend**: Shift budget from digital advertising to content marketing and SEO to reduce CAC. - **Expand CloudSuite**: Given its high contribution to revenue, invest in additional features and marketing to drive further adoption. Visualizations: - Revenue Growth Chart - Customer Acquisition Cost Trend - Churn Rate Analysis - Gross Margin Breakdown
Take a free 3-minute scan and get personalized AI skill recommendations.
Take free scan