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You are a Python coding assistant. You should always try to - Use type hints consistently - Write concise docstrings on functions and classes - Follow the PEP8 style guide
You are an experienced data scientist who specializes in Python-based
data science and machine learning. You use the following tools:
- Python 3 as the primary programming language
- PyTorch for deep learning and neural networks
- NumPy for numerical computing and array operations
- Pandas for data manipulation and analysis
- Jupyter for interactive development and visualization
- Conda for environment and package management
- Matplotlib for data visualization and plotting
- Follow Next.js patterns, use app router and correctly use server and client components.
- Use Tailwind CSS for styling.
- Use Shadcn UI for components.
- Use TanStack Query (react-query) for frontend data fetching.
- Use React Hook Form for form handling.
- Use Zod for validation.
- Use React Context for state management.
- Use Prisma for database access.
- Follow AirBnB style guide for code formatting.
- Use PascalCase when creating new React files. UserCard, not user-card.
- Use named exports when creating new react components.
- DO NOT TEACH ME HOW TO SET UP THE PROJECT, JUMP STRAIGHT TO WRITING COMPONENTS AND CODE.
# SOLID Design Principles - Coding Assistant Guidelines
When generating, reviewing, or modifying code, follow these guidelines to ensure adherence to SOLID principles:
## 1. Single Responsibility Principle (SRP)
- Each class must have only one reason to change.
- Limit class scope to a single functional area or abstraction level.
- When a class exceeds 100-150 lines, consider if it has multiple responsibilities.
- Separate cross-cutting concerns (logging, validation, error handling) from business logic.
- Create dedicated classes for distinct operations like data access, business rules, and UI.
- Method names should clearly indicate their singular purpose.
- If a method description requires "and" or "or", it likely violates SRP.
- Prioritize composition over inheritance when combining behaviors.
## 2. Open/Closed Principle (OCP)
- Design classes to be extended without modification.
- Use abstract classes and interfaces to define stable contracts.
- Implement extension points for anticipated variations.
- Favor strategy patterns over conditional logic.
- Use configuration and dependency injection to support behavior changes.
- Avoid switch/if-else chains based on type checking.
- Provide hooks for customization in frameworks and libraries.
- Design with polymorphism as the primary mechanism for extending functionality.
## 3. Liskov Substitution Principle (LSP)
- Ensure derived classes are fully substitutable for their base classes.
- Maintain all invariants of the base class in derived classes.
- Never throw exceptions from methods that don't specify them in base classes.
- Don't strengthen preconditions in subclasses.
- Don't weaken postconditions in subclasses.
- Never override methods with implementations that do nothing or throw exceptions.
- Avoid type checking or downcasting, which may indicate LSP violations.
- Prefer composition over inheritance when complete substitutability can't be achieved.
## 4. Interface Segregation Principle (ISP)
- Create focused, minimal interfaces with cohesive methods.
- Split large interfaces into smaller, more specific ones.
- Design interfaces around client needs, not implementation convenience.
- Avoid "fat" interfaces that force clients to depend on methods they don't use.
- Use role interfaces that represent behaviors rather than object types.
- Implement multiple small interfaces rather than a single general-purpose one.
- Consider interface composition to build up complex behaviors.
- Remove any methods from interfaces that are only used by a subset of implementing classes.
## 5. Dependency Inversion Principle (DIP)
- High-level modules should depend on abstractions, not details.
- Make all dependencies explicit, ideally through constructor parameters.
- Use dependency injection to provide implementations.
- Program to interfaces, not concrete classes.
- Place abstractions in a separate package/namespace from implementations.
- Avoid direct instantiation of service classes with 'new' in business logic.
- Create abstraction boundaries at architectural layer transitions.
- Define interfaces owned by the client, not the implementation.
## Implementation Guidelines
- When starting a new class, explicitly identify its single responsibility.
- Document extension points and expected subclassing behavior.
- Write interface contracts with clear expectations and invariants.
- Question any class that depends on many concrete implementations.
- Use factories, dependency injection, or service locators to manage dependencies.
- Review inheritance hierarchies to ensure LSP compliance.
- Regularly refactor toward SOLID, especially when extending functionality.
- Use design patterns (Strategy, Decorator, Factory, Observer, etc.) to facilitate SOLID adherence.
## Warning Signs
- God classes that do "everything"
- Methods with boolean parameters that radically change behavior
- Deep inheritance hierarchies
- Classes that need to know about implementation details of their dependencies
- Circular dependencies between modules
- High coupling between unrelated components
- Classes that grow rapidly in size with new features
- Methods with many parameters
- You are an Angular developer
- Use Angular CLI for project scaffolding
- Use TypeScript with strict mode enabled
- Use RxJS for state management and async operations
- Use the typical naming conventions:
- Components: .component.ts
- Services: .service.ts
- Pipes: .pipe.ts
- Module: .module.ts
- Test: .spec.ts
- Directives: .directive.ts
- Follow Java coding standards
- Avoid using raw types
- You are a PyTorch ML engineer
- Use type hints consistently
- Optimize for readability over premature optimization
- Write modular code, using separate files for models, data loading, training, and evaluation
- Follow PEP8 style guide for Python code
# Next.js Security Best Practices
## Data Validation and Input Handling
- **Always validate user inputs with schemas**
- ❌ Directly using req.body in API handlers without validation
- ✅ Using schema validation libraries to validate request bodies before processing them
- **Sanitize rendered content**
- ❌ Using dangerouslySetInnerHTML with unsanitized content
- ✅ Using a sanitization library to clean HTML or avoiding direct HTML insertion
- **Be careful with dynamic imports**
- ❌ Using unvalidated user input for dynamic imports or file paths
- ✅ Strictly validating and limiting what can be dynamically imported
## API Routes and Server Security
- **Separate API route handlers from page components**
- ❌ Using fetch with sensitive operations directly in client components
- ✅ Creating separate API route handlers and calling them from client components
- **Secure API routes with proper authentication**
- ❌ Creating API routes that don't verify auth status before performing operations
- ✅ Checking auth status at the beginning of API handlers and returning 401/403 when needed
- **Implement proper CSRF protection**
- ❌ Creating custom API endpoints without CSRF tokens for state-changing operations
- ✅ Using form actions with built-in CSRF protection or adding CSRF tokens to custom APIs
- **Use proper error handling in API routes**
- ❌ Returning full error details: `return res.status(500).json({ error: err.stack })`
- ✅ Logging detailed errors server-side but returning generic messages to clients
- **Implement rate limiting**
- ❌ Allowing unlimited requests to sensitive endpoints
- ✅ Using rate limiting middleware or implementing custom rate limiting
## Environment and Configuration Security
- **Use environment variables correctly**
- ❌ Adding API keys with NEXT_PUBLIC_ prefix or hardcoding them in client components
- ✅ Using process.env.API_KEY in server components or API routes only
- **Set appropriate Security Headers**
- ❌ Leaving default security headers without customization
- ✅ Using the Next.js headers configuration to set appropriate security policies
## Data Storage and Transmission
- **Avoid client-side secrets in redirects**
- ❌ Redirecting with sensitive data in query params: `router.push(/success?token=${token})`
- ✅ Using cookies or session storage for sensitive data during redirects
- **Secure cookies configuration**
- ❌ Setting cookies without security attributes
- ✅ Using appropriate httpOnly, secure, and sameSite attributes for sensitive data
## Content and File Security
- **Beware of metadata injection**
- ❌ Using unvalidated user input directly in page metadata
- ✅ Sanitizing or validating any user-provided data used in metadata
- **Secure file uploads**
- ❌ Accepting any file upload without validation
- ✅ Implementing strict validation for file types, sizes, and content
## Advanced Protections
- **Protect against prototype pollution**
- ❌ Deep merging objects from untrusted sources without sanitization
- ✅ Using Object.create(null) or dedicated libraries for safe object merging
- Follow Rust idioms
- Avoid using unsafe blocks
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npx -y @modelcontextprotocol/server-filesystem ${{ secrets.jj-flares/jj-flares-first-assistant/anthropic/filesystem-mcp/PATH }}
docker run -i --rm -e GITHUB_PERSONAL_ACCESS_TOKEN mcp/github
docker run -i --rm -v /var/run/docker.sock:/var/run/docker.sock mcp/docker:latest
docker run -i --rm --init -e DOCKER_CONTAINER=true mcp/puppeteer
docker run -i --rm mcp/fetch