Use cases

Please help me organize all files in the current directory:
1. Move all image files to the assets/images/ directory.
2. Move all document files (.md, .txt, .pdf) to the docs/ directory.
3. Move all configuration files (.json, .yaml, .toml) to the config/ directory.
4. Categorize all code files by language into subdirectories under src/.
5. Generate an organization report detailing which files were moved.

Please help me organize the photos in the ~/Pictures/2024 directory:
1. Read the EXIF information (capture time, location) from the photos.
2. Create a folder structure based on "Year-Month".
3. Move the photos to the corresponding folders based on their capture time.
4. Rename each photo to the format: Date_SequenceNumber.jpg.
5. Generate a CSV file that records the original filename, capture time, and file size for each photo.

Please analyze the sales_data.csv file:
1. Read and display basic information about the data (number of rows, columns, field types).
2. Calculate the total sales and average unit price for each product category.
3. Identify the top 10 products with the highest sales.
4. Analyze the monthly sales trend.
5. Generate a visualization report in HTML format that includes a bar chart and a line chart.

Please help me create a product feature specification document:
1. Document format: Word (.docx)
2. Content to include:
   - Product overview (200 words)
   - List of core features (at least 5, each with a description)
   - A user workflow diagram
   - A technical architecture description
3. Add a table of contents, headers, footers, and page numbers.
4. Use a professional layout style.

Please research "the latest advancements in large language models for code generation":
1. Search for relevant academic papers and technical blogs from 2023–2024.
2. Compile a performance comparison of mainstream models (such as GPT-4, Claude, and Gemini) on code generation tasks.
3. Summarize the current technical trends and challenges.
4. Generate a research report in Markdown format that includes:
   - An executive summary
   - A technical comparison table
   - A trend analysis
   - A list of references

Please complete a full competitive analysis report on the "AI code assistant market":

Step 1: Information Gathering
- Search for and list at least 5 major AI code assistant products on the market.
- Collect each product's core features, pricing, target audience, and technical specifications.

Step 2: Data Organization
- Create an Excel spreadsheet to compare the feature matrix of each product.
- Include fields for: Product Name, Release Date, Supported Languages, IDE Integration, Pricing Model, and Unique Features.

Step 3: In-depth Analysis
- Analyze the strengths and weaknesses of each product.
- Identify market gaps and opportunities.
- Summarize industry trends.

Step 4: Report Output
- Generate a PowerPoint presentation (.pptx).
- Include: a cover slide, market overview, product comparison, SWOT analysis, and conclusions with recommendations.
- Use a professional business color scheme and charts.

Please create a complete documentation system for my Python project:

1. Code Analysis
   - Scan all Python files in the src/ directory.
   - Extract the signatures and docstrings of all public classes and functions.
   - Analyze project dependencies from requirements.txt.

2. Document Generation
   - Create README.md: Include a project introduction, installation instructions, quick start, and contribution guide.
   - Create API.md: Automatically generate API reference documentation.
   - Create docs/guide.md: Write a detailed user tutorial with code examples.
   - Create CHANGELOG.md: Generate a change log based on the git commit history.

3. Example Code
   - Create 3–5 practical examples in the examples/ directory.
   - Each example should include fully commented code and an explanation.

4. Quality Check
   - Ensure all documents use a consistent Markdown format.
   - Check the syntax of the code examples.
   - Generate a directory structure for a documentation site.

Please generate an analysis report based on this week's business data:

1. Data Retrieval (assuming a database MCP service connection)
   - Extract this week's user behavior data from the database.
   - Query order data and revenue data.
   - Extract customer feedback data.

2. Data Cleaning and Analysis
   - Handle missing and anomalous values.
   - Calculate key metrics: DAU, conversion rate, average order value, NPS.
   - Compare with last week's data to calculate growth rates.

3. Visualization
   - Create a user growth trend chart (line chart).
   - Create a revenue source distribution chart (pie chart).
   - Create a conversion funnel chart.

4. Report Output
   - Generate a weekly report in Word format, including:
     * A key metric dashboard
     * Data analysis charts
     * Key findings and insights
     * Actionable suggestions for next week
   - Also generate an Excel sheet with detailed data for reference.

I am planning a 5-day trip from China (Beijing) to China (Hangzhou). Please help me:

1. Route Planning
   - Use a map tool to plan the optimal travel route (including transportation suggestions).
   - Find popular attractions, restaurants, and hotels in the cities along the way.
   - Consider seasonal factors (it is currently February) and weather conditions.

2. Information Collection
   - Use a browser to search for detailed information, ticket prices, and opening hours for each attraction.
   - Find recommendations and reviews for local specialty foods and restaurants.
   - Note any information about accessibility facilities.

3. Document Generation
   - Generate a detailed 30-page travel guide in a Word document, including:
     * A daily itinerary
     * Attraction descriptions and recommendations
     * A food map
     * Transportation instructions
     * A budget checklist
     * Important notes

4. Presentation Materials
   - Create a 25-slide travel plan presentation to share with friends.
   - Create a travel showcase webpage with a map, photo wall, and itinerary timeline.

Requirements:
- Optimize the route to avoid detours.
- Provide alternative options.
- The visual presentation must be clear and intuitive.

I am researching the topic "Applications of large language models in Code Generation." Please help me:

1. Literature Search
   - Search arXiv for the latest relevant papers (2023–2024).
   - Use a browser to find key research institutions and scholars in this field.
   - Summarize the abstracts and core ideas of the top 10 most relevant papers.

2. Literature Review Writing
   - Write a 15-page literature review report in Word format, including:
     * Research background and significance
     * Literature review
     * Comparison of research methods
     * Analysis of development trends
     * References

3. Academic Presentation
   - Create a 20-slide academic presentation suitable for a seminar.
   - Generate 5 infographics to illustrate the research timeline and technological evolution.

Requirements:
- Use APA 7th edition for citation style.
- Include at least 30 references.
- Charts and diagrams must be clear and professional.

Create a training course package for "Python data analysis":

1. Course Design
   - Create a course outline in a Word document (5 chapters).
   - Each chapter should include: learning objectives, a content summary, and practice exercises.

2. Teaching Materials
   - Create a set of accompanying PowerPoint slides for each chapter (50 slides total).
   - Content should cover: data types, functions, loops, the pandas library, and data visualization.

3. Supplementary Materials
   - Generate 8 infographics on key concepts (data types, functions, loops, pandas library, etc.).
   - Each infographic should be concise, clear, and easy to understand.

4. Final Output
   - Compile everything into a complete student handbook in PDF format.
   - Include all course content and practice exercises.

Visual Style:
- Education-friendly, clear, and readable.
- Use a warm color palette.
- Code examples should be highlighted.