Engineering Principles

Azure/gpt-rag-mcp/.github/skills/engineering-principles

Çoklu dosya

Azure· v1.0.0

ai-mlResmi

Resmi Sağlayıcı Skill'iView repo

GPT-RAG MCP architecture and implementation principles. Use for design, review, meaningful refactoring, Azure integration, security, protocol, testing, or operational changes.

Dosyalar6 dosya

SKILL.md21 satır

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Kurulum

Önerilen

Tek komut — ajanınız otomatik olarak devreye alır.

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veya

Manuel Kurulum

Daha fazla adım

Arşivi indirin ve dosyaları projenize manuel olarak ekleyin.

Skill detayları

Versiyonv1.0.0

YazarAzure

Kategoriai-ml

Skill IDAzure/gpt-rag-mcp/.github/skills/engineering-principles

Dosyalar6 dosya

İlgili skill'ler

Architecture DecisionConducts and records a verifiable GPT-RAG MCP architectural decision. Use when a choice alters protocol contracts, runtime boundaries, identity, data, deployment, or operation with meaningful reversal cost.Component ReleasePrepares and validates GPT-RAG MCP component releases. Use for versions, dependency locks, changelog entries, release branches, tags, GitHub Releases, and platform pin coordination.Documentation ConsistencyKeeps GPT-RAG MCP service and umbrella documentation aligned with shipped behavior. Use for capabilities, configuration keys, deployment steps, endpoints, defaults, operations, or breaking changes.Mcp Capability DevelopmentDesigns and implements safe GPT-RAG MCP tools, resources, prompts, and registrations. Use whenever a runtime MCP capability or its orchestrator-facing contract changes.Asim Parser User PrompterPrompts the user for inputs to create a new ASIM schema parser. Use this skill when you need to gather information from the user to create a new ASIM parser.Agentic WorkflowsRoute gh-aw workflow design/create/debug/upgrade requests to the right prompts.