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Pre-trekexecute snapshot of in-progress CLAUDE.md/SKILL.md edits and
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Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
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Kjell Tore Guttormsen 2026-05-18 12:04:02 +02:00
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11
plugins/ms-ai-architect/skills/ms-ai-advisor/SKILL.md
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---
name: ms-ai-advisor
description: |
This skill should be used when the user needs Microsoft AI architecture guidance, wants help
choosing between Azure AI platforms, or asks about Copilot vs Foundry trade-offs. Cosmo Skyberg
persona guides through structured problem understanding before technology selection. Specialist
in Azure AI Foundry, M365 Copilot, Copilot Studio, Power Platform, Azure OpenAI, and
Microsoft Agent Framework.
Triggers on: "Microsoft AI architecture", "Copilot vs Foundry", "which Microsoft AI platform",
"Azure AI advice", "M365 Copilot vs Copilot Studio", "help me choose between Azure OpenAI and Copilot Studio",
"trenger arkitekturveiledning", "hvilken Copilot skal jeg bruke", "/architect", "Cosmo".
description: >-
Microsoft AI architecture guidance, choosing between Azure AI platforms, Copilot vs Foundry trade-offs. Cosmo Skyberg persona guides through structured problem understanding before technology selection. Specialist in Azure AI Foundry, M365 Copilot, Copilot Studio, Power Platform, Azure OpenAI, Microsoft Agent Framework. Triggers on: "Microsoft AI architecture", "Copilot vs Foundry", "which Microsoft AI platform", "Cosmo", "/architect".
---
> **INSTRUKSJON:** Du ER Cosmo Skyberg. Følg arbeidsprosessen nedenfor.

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plugins/ms-ai-architect/skills/ms-ai-engineering/SKILL.md
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---
name: ms-ai-engineering
description: |
This skill should be used when the user needs deep technical guidance for building AI solutions
in the Microsoft stack — RAG architecture, multi-agent orchestration, Azure AI Services,
data engineering with Fabric, MLOps/GenAIOps, multimodal AI, or API Management for AI.
Triggers on: "RAG architecture on Azure", "multi-agent orchestration pattern",
"MLOps for generative AI", "Azure AI Search implementation", "Semantic Kernel agent",
"Fabric data pipeline for AI", "API gateway for AI", "chunking strategy",
"embedding model", "APIM for Azure OpenAI".
description: >-
Deep technical guidance for building AI solutions in the Microsoft stack — RAG architecture, multi-agent orchestration, Azure AI Services, data engineering with Fabric, MLOps/GenAIOps, multimodal AI, API Management for AI. Triggers on: "RAG architecture on Azure", "multi-agent orchestration pattern", "MLOps for generative AI", "Azure AI Search", "Semantic Kernel agent", "Fabric data pipeline".
---
> **INSTRUKSJON:** Denne skillen gir dyp teknisk kunnskap for AI-løsningsbygging.

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plugins/ms-ai-architect/skills/ms-ai-governance/SKILL.md
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---
name: ms-ai-governance
description: |
This skill should be used when the user asks about Norwegian public sector AI compliance,
utredningsinstruksen for AI projects, EU AI Act risk classification, DPIA for AI systems,
Digdir architecture principles, responsible AI governance, or monitoring and observability
for AI in production.
Triggers on: "Norwegian public sector AI compliance", "utredningsinstruksen for AI",
"AI Act risk classification", "DPIA for AI system", "Digdir architecture principles",
"ansvarlig AI i offentlig sektor", "compliance-vurdering for AI", "Forvaltningsloven AI",
"Schrems II AI", "bias detection", "AI governance framework".
description: >-
Norwegian public sector AI compliance, utredningsinstruksen for AI, EU AI Act risk classification, DPIA for AI systems, Digdir architecture principles, responsible AI governance, monitoring and observability. Triggers on: "Norwegian public sector AI compliance", "AI Act risk classification", "DPIA for AI system", "Digdir architecture principles", "ansvarlig AI i offentlig sektor", "Forvaltningsloven AI".
---
# ms-ai-governance

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plugins/ms-ai-architect/skills/ms-ai-infrastructure/SKILL.md
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---
name: ms-ai-infrastructure
description: |
This skill should be used when the user asks about disaster recovery for AI workloads,
multi-region Azure AI deployment, hybrid or edge AI architecture, sovereign cloud for Norway,
offline-first AI patterns, or AI infrastructure resilience planning.
Covers BCDR, Azure Arc for AI, ONNX Runtime edge deployment, disconnected scenarios,
and Norwegian data sovereignty requirements.
Triggers on: "disaster recovery for AI workloads", "edge AI deployment", "sovereign cloud AI",
"multi-region Azure AI", "Azure Arc for AI", "offline AI deployment",
"AI infrastructure resilience", "BCDR for AI", "hybrid AI", "Norway East failover".
description: >-
Disaster recovery for AI workloads, multi-region Azure AI deployment, hybrid or edge AI architecture, sovereign cloud for Norway, offline-first AI patterns, AI infrastructure resilience. Covers BCDR, Azure Arc for AI, ONNX Runtime edge deployment, disconnected scenarios, Norwegian data sovereignty. Triggers on: "disaster recovery for AI workloads", "edge AI deployment", "sovereign cloud AI", "Azure Arc for AI", "BCDR for AI".
---
> **INSTRUKSJON:** Denne ferdigheten dekker infrastrukturresiliens og driftsarkitektur for AI-arbeidsbelastninger.

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plugins/ms-ai-architect/skills/ms-ai-security/SKILL.md
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---
name: ms-ai-security
description: |
This skill should be used when the user needs a security assessment for an AI solution,
wants cost estimation for Azure AI workloads, asks about OWASP LLM Top 10 mitigations,
or needs performance optimization guidance. Provides deterministic 6x5 security scoring,
P10/P50/P90 cost confidence intervals, and FinOps practices for AI.
Triggers on: "security assessment for AI", "AI threat modeling", "cost estimation for Azure AI",
"FinOps for AI workloads", "prompt injection defense", "kostnadsestimat for AI-løsning",
"sikkerhetsscoring for AI", "OWASP LLM", "6x5 scoring", "PTU vs pay-as-you-go".
description: >-
Security assessment, cost estimation, OWASP LLM Top 10 mitigations, performance optimization for AI on Microsoft stack. Deterministic 6x5 security scoring, P10/P50/P90 cost confidence intervals, FinOps practices. Triggers on: "security assessment for AI", "AI threat modeling", "cost estimation for Azure AI", "FinOps for AI workloads", "OWASP LLM", "kostnadsestimat for AI-løsning".
---
> **INSTRUKSJON:** Denne skillen dekker kvantitative vurderingsaktiviteter med deterministiske