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emmanuel-engineering

Encode architecture-first engineering workflows with Docker, CI/CD, and EKS patterns.

Updated Apr 16, 2026
Search Tags:#architecture#aws#patterns#mcp#docker#astronomy#eks
One-click install
npx skills add https://github.com/ejoliet/claude-skills --skill emmanuel-engineering
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: emmanuel-engineering
Source: https://github.com/ejoliet/claude-skills/tree/main/engineering
Command: npx skills add https://github.com/ejoliet/claude-skills --skill emmanuel-engineering

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

The Emmanuel Engineering Skill codifies a discipline for architecture-first planning, production-grade defaults, and domain-aware patterns to unify technical delivery across cloud, data pipelines, and astronomy workflows at IPAC Caltech.

Core Features & Use Cases

  • Architecture-first design guidance and structured decision records for complex systems.
  • Production-ready defaults, tooling preferences, and reproducible templates (Docker, CI/CD, IaC, EKS).
  • Domain patterns for astronomy data access, VO standards, and MCP server integration to accelerate prototyping and operations.

Quick Start

Describe an architecture-first plan for a new project by detailing goals, constraints, and success criteria.

Frequently Asked Questions about emmanuel-engineering

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I plan an architecture-first design for an AWS EKS deployment?▼

Architecture-first design for AWS EKS involves detailing project goals, constraints, and success criteria before writing code. This Skill encodes structured decision records and production-ready templates to enforce phased planning and reproducible infrastructure patterns.

What's the best way to structure Docker-based prototyping for data pipelines?▼

Docker-based prototyping for data pipelines benefits from production-ready defaults and reproducible templates. This Skill provides CI/CD configurations and IaC patterns to ensure containerized prototypes transition smoothly into operational deployments.

How do I integrate astronomy data access patterns with VO standards and astroquery?▼

Astronomy data access patterns using VO standards and astroquery are encoded as domain-specific templates within this Skill. It provides operational runbooks and code templates to accelerate querying and retrieving standardized astronomical datasets.

Can I use this approach to generate operational runbooks and design decisions for MCP servers?▼

Yes, generating operational runbooks and design decisions for MCP servers is a core function. The Skill outputs structured documentation, robust error handling guidelines, and architecture plans tailored to MCP server integration workflows.

Does this architecture-first workflow require specific cloud or infrastructure dependencies?▼

No external dependencies are required to apply this architecture-first workflow. The Skill operates as a standalone reference encoding tooling biases and domain standards for AWS, EKS, and Docker without hard dependencies on external libraries.

What structured outputs should I expect from an architecture-first engineering plan?▼

Architecture-first engineering plans yield structured outputs including phased implementation plans, design decision records, code templates, and operational runbooks. These artifacts ensure reproducible technical delivery and robust error handling documentation.

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