Magnus HedemarkandGitHub
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Engineering: backend-engineering, frontend-engineering, data-engineering, ml-engineering, platform-engineering, qa-methodology Executive: go-to-market, legal-strategy, operational-design, org-design, product-strategy ml-engineering: added missing training-infrastructure.md reference qa-methodology: added test-data-management, performance-testing, security-testing references All frontmatter converted to agent-skills convention. Source: https://github.com/magnus919/hermes-profiles
Backend Engineering
Backend engineering methodology — API implementation patterns (REST, gRPC, GraphQL), service architecture (clean/hexagonal/layered), database access patterns, integration and middleware design, error handling, and service-level testing. Language and framework agnostic.
Why Install This Skill
Your agent gains structured patterns for API design, service architecture, database access, error handling, and integration — instead of improvising each time.
What You Get
| Directory | Purpose |
|---|---|
SKILL.md |
Core methodology, trigger conditions, reference index |
references/ |
Deep-dive reference files loaded on demand |
Triggers
Building or reviewing APIs, designing service layers, implementing database access patterns, adding error handling, or integrating external services.
Requirements
Platform-agnostic. Applicable to any language/framework stack.
Quick Start
Load SKILL.md for the methodology overview and reference table, then load specific references as needed for the task at hand.