nasty-bastard/my-first-assistant-11849 icon
public
Published on 5/1/2025
My First Assistant

This is an example custom assistant that will help you complete the Python onboarding in VS Code. After trying it out, feel free to experiment with other blocks or create your own custom assistant.

Rules
Prompts
Models
Context
Data
lmstudio qwen2.5-coder 3b model icon

qwen2.5-coder 3b

lmstudio

lmstudio autodetect model icon

autodetect

lmstudio

lmstudio LM Autocomplete model icon

LM Autocomplete

lmstudio

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 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 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.
- Optimize indexes to improve query execution speed.
- Avoid N+1 queries and suggest more efficient alternatives.
- Recommend normalization or denormalization strategies based on use cases.
- Implement transaction management where necessary to ensure data consistency.
- Suggest methods for monitoring database performance.
- Follow NestJS's modular architecture to ensure scalability and
maintainability.
- Use DTOs (Data Transfer Objects) to validate and type API requests.
- Implement Dependency Injection for better service management.
- Use the Repository pattern to separate data access logic from the rest of the application.
- Ensure that all REST APIs are well-documented with Swagger.
- Implement caching strategies to reduce database load.
- Suggest optimizations to improve PostgreSQL query performance.
Pythonhttps://docs.python.org/3/
LM Studio Docshttps://lmstudio.ai/docs/app
Angular Docshttps://angular.io/docs
Next.jshttps://nextjs.org/docs/app
PyTorchhttps://pytorch.org/docs/stable/index.html
Langchain Docshttps://python.langchain.com/docs/introduction/
NumPyhttps://numpy.org/doc/stable/
Reacthttps://react.dev/reference/
Rust docshttps://doc.rust-lang.org/book/
Uvicorn Docshttps://www.uvicorn.org/
React Testing Library Docshttps://testing-library.com/docs/react-testing-library/intro/
SQLAlchemyhttps://docs.sqlalchemy.org/en/20

Prompts

Learn more
Write Cargo test
Write unit test with Cargo
Use Cargo to write a comprehensive suite of unit tests for this function
New Component
Create a new Angular component
Please create a new Angular component following these guidelines:
- Include JSDoc comments for component and inputs/outputs
- Implement proper lifecycle hooks
- Include TypeScript interfaces for models
- Follow container/presentational component pattern where appropriate
- Include unit tests with Jasmine/Karma in a separate test file
- Make sure to create separate files for any services, pipes, modules, and directives
Page
Creates a new Next.js page based on the description provided.
Create a new Next.js page based on the following description.
New Module
Create a new PyTorch module
Please create a new PyTorch module following these guidelines:
- Include docstrings for the model class and methods
- Add type hints for all parameters
- Add basic validation in __init__
Review
Review changes
Please review the current code changes looking for:

- Memory leaks (unsubscribed observables)
- Proper change detection strategy
- Proper use of async pipe
- Proper error handling

Format the review as:
```
## <FILENAME>
- <ISSUE>
...
- <ISSUE>
```
RAG Pipeline Design
Comprehensive retrieval-augmented generation system design
Design a RAG (Retrieval-Augmented Generation) system with:

Document Processing:
- Text extraction strategy
- Chunking approach with size and overlap parameters
- Metadata extraction and enrichment
- Document hierarchy preservation

Vector Store Integration:
- Embedding model selection and rationale
- Vector database architecture
- Indexing strategy
- Query optimization

Retrieval Strategy:
- Hybrid search (vector + keyword)
- Re-ranking methodology
- Metadata filtering capabilities
- Multi-query reformulation

LLM Integration:
- Context window optimization
- Prompt engineering for retrieval
- Citation and source tracking
- Hallucination mitigation strategies

Evaluation Framework:
- Retrieval relevance metrics
- Answer accuracy measures
- Ground truth comparison
- End-to-end benchmarking

Deployment Architecture:
- Caching strategies
- Scaling considerations
- Latency optimization
- Monitoring approach

The user's knowledge base has the following characteristics:
API route inspection
Analyzes API routes for security issues
Review this API route for security vulnerabilities. Ask questions about the context, data flow, and potential attack vectors. Be thorough in your investigation.
Client component
Create a client component.
Create a client component with the following functionality. If writing this as a server component is not possible, explain why.

Context

Learn more
@code
Reference specific functions or classes from throughout your project
@docs
Reference the contents from any documentation site
@diff
Reference all of the changes you've made to your current branch
@terminal
Reference the last command you ran in your IDE's terminal and its output
@problems
Get Problems from the current file
@folder
Uses the same retrieval mechanism as @Codebase, but only on a single folder
@codebase
Reference the most relevant snippets from your codebase
@file
Reference any file in your current workspace
@url
Reference the markdown converted contents of a given URL
@currentFile
Reference the currently open file
@repo-map
Reference the outline of your codebase
@open
Reference the contents of all of your open files
@greptile
Query a Greptile index of the current repo/branch
@jira
Reference the conversation in a Jira issue
@clipboard
Reference recent clipboard items

Google Cloud Storage

${{ secrets.nasty-bastard/my-first-assistant-11849/continuedev/google-cloud-storage-dev-data/GCP_SERVER_URL }}

MCP Servers

Learn more

Memory

npx -y @modelcontextprotocol/server-memory

Browser MCP

npx -y @browsermcp/mcp@latest

Playwright

npx -y @executeautomation/playwright-mcp-server

Postgres

npx -y @modelcontextprotocol/server-postgres ${{ secrets.nasty-bastard/my-first-assistant-11849/anthropic/postgres-mcp/CONNECTION_STRING }}

Filesystem

npx -y @modelcontextprotocol/server-filesystem ${{ secrets.nasty-bastard/my-first-assistant-11849/anthropic/filesystem-mcp/PATH }}

GitHub

npx -y @modelcontextprotocol/server-github

Brave Search

npx -y @modelcontextprotocol/server-brave-search