david-tamayo-domenech/david-tamayo-domenech-first-assistant icon
public
Published on 8/14/2025
gpt-4.1

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
openai OpenAI GPT-4.1 model icon

OpenAI GPT-4.1

OpenAI

1047kinput·32.768koutput
gemini Gemini 2.0 Flash model icon

Gemini 2.0 Flash

gemini

1048kinput·8.192koutput
openai OpenAI GPT-4o Mini model icon

OpenAI GPT-4o Mini

OpenAI

128kinput·16.384koutput
ollama qwen2.5-coder 1.5b model icon

qwen2.5-coder 1.5b

ollama

ollama qwen2.5-coder 3b model icon

qwen2.5-coder 3b

ollama

gemini Gemini 2.5 Pro model icon

Gemini 2.5 Pro

gemini

1048kinput·65.536koutput
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
Pythonhttps://docs.python.org/3/
Terraformhttps://developer.hashicorp.com/terraform/docs
AWS terraform providerhttps://registry.terraform.io/providers/hashicorp/aws/latest/docs
Kuberneteshttps://kubernetes.io/docs/home/
EKShttps://docs.aws.amazon.com/eks/
gitlabCICDhttps://docs.gitlab.com/ci/

Prompts

Learn more
Write Cargo test
Write unit test with Cargo
Use Cargo to write a comprehensive suite of unit tests for this function
AWS Terraform Module Best Practices
Create scalable, reusable AWS Terraform modules
Generate a structured, reusable Terraform module for deploying AWS infrastructure components. The module must include:

Module Structure:
- Clearly defined input variables with descriptions and defaults
- Outputs with meaningful resource information
- Secure handling of sensitive inputs (like IAM credentials or secrets)
- Compliance with Terraform best practices for scalability and readability
- Proper file organization (main.tf, variables.tf, outputs.tf)

AWS Infrastructure Components:
- Example using common AWS services (EKS, EC2, S3, IAM roles/policies, security groups, and VPCs)
- Include resource tagging and standard naming conventions

Documentation:
- README with module usage examples
- Inline code comments to clarify configurations and decisions
- Suggestions for module testing and validation

The user has provided the following requirements:
Act as a senior SRE and:

List possible root causes
Suggest debugging steps in order of likelihood
Recommend monitoring checks to prevent this
Share relevant post-mortem templates
I'm seeing [error]. Here's my setup: [environment details] [error logs]
I need help improving and modifying my GitLab CI/CD pipeline. 

**Current issues I'm facing:**
- [Describe specific problems: slow builds, failing jobs, security concerns, etc.]

**My requirements:**
- [Specify your needs: faster execution, better testing, security scanning, deployment automation, etc.]

**Environment details:**
- Language/Framework: [e.g., Node.js, Python, Java, etc.]
- Deployment target: [e.g., AWS EKS, Docker containers, etc.]
- Current pipeline stages: [e.g., build, test, deploy, etc.]

Please provide:
1. An optimized version of my pipeline with explanations for changes
2. Best practices I should implement
3. Any security improvements
4. Performance optimization suggestions
5. Proper error handling and rollback strategies
improve-terraform
A sample prompt
I need assistance improving and refactoring my Terraform module.


**Current challenges:**
- [Describe issues: resource conflicts, state management, scalability, etc.]

**My goals:**
- [Specify objectives: better modularity, cost optimization, security hardening, etc.]

**Infrastructure details:**
- Cloud provider: [AWS/Azure/GCP]
- Resources involved: [e.g., VPC, EKS, RDS, S3, etc.]
- Environment: [dev/staging/production]
- Team size: [number of developers using this module]

Please help me with:
1. Code refactoring and modularization
2. Variable optimization and validation
3. Output improvements
4. Security best practices
5. State management recommendations
6. Documentation and examples
7. Version compatibility and upgrade paths

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

No Data configured

MCP Servers

Learn more

aws-core

docker run --rm --interactive --env FASTMCP_LOG_LEVEL=ERROR awslabs/core-mcp-server:latest

Filesystem

npx -y @modelcontextprotocol/server-filesystem /Users/davidtamayodomench/Documents/dev/

aws-cost

docker run --rm --interactive --env FASTMCP_LOG_LEVEL=ERROR --env-file /Users/davidtamayodomench/Documents/dev/.env awslabs/cost-analysis-mcp-server:latest