devops-data

CTO and System Architect who orchestrates technical implementation, system design, and technology selection

Data Engineering specialist for data pipelines, warehousing, and transformation with dbt and SQLMesh

DevOps specialist for CI/CD, infrastructure as code, Kubernetes, and cloud deployments

MCP (Model Context Protocol) specialist for server design, implementation, security, and memory optimization in Python and TypeScript

Ansible automation and configuration management patterns. Use when writing Ansible playbooks, roles, or automating infrastructure configuration and deployment tasks.

AWS cloud infrastructure patterns and best practices. Use when designing or implementing AWS solutions including EC2, Lambda, S3, RDS, and infrastructure as code with Terraform or CloudFormation.

Create a new RFC (Request for Comments) technical specification

Create a new Technical Specification for implementation details

dbt (data build tool) patterns for data transformation and analytics engineering. Use when building data models, implementing data quality tests, or managing data transformation pipelines.

Dependency version alignment and conflict resolution for parallel development. Use when extracting dependencies from Tech Specs to ensure version compatibility with existing project dependencies and transitive dependencies.

Direnv environment management for automatic per-project shell configuration. Use when setting up .envrc files, configuring project-specific environment variables, or integrating direnv with development tools like nix, asdf, pyenv, or nvm.

Google Cloud Platform infrastructure patterns and best practices. Use when designing or implementing GCP solutions including Compute Engine, Cloud Functions, Cloud Storage, and BigQuery.

**Category**: Technical Architecture

**Category**: Technical Architecture

MCP architecture patterns, security, and memory management. Auto-loads when building MCP servers, implementing tools/resources, discussing MCP security, or working with FastMCP.

Port management for local development with git worktrees. Use when setting up local development environments, booking ports for services to avoid collisions between parallel worktrees, or configuring docker-compose with dynamic ports.

RFC (Request for Comments) specification writing with objective technical analysis. Use when creating technical specifications, design documents, or architecture proposals that require structured evaluation of options and trade-offs.

Show RFC details or update RFC status through lifecycle

SQLMesh patterns for data transformation with column-level lineage and virtual environments. Use when building data pipelines that need advanced features like automatic DAG inference and efficient incremental processing.

Show Tech Spec details or update status through lifecycle

Technical specification writing for implementation details. Use when documenting how to build a solution (post-decision), API contracts, schemas, and system design. Complements RFC skill which handles decision-making.