feat(ms-ai-architect): Sesjon 7 steg 3 - K5 progressive disclosure (3 skills PASS)

Lukker K5-FAIL (navngitte fil-lenker / totale ref-filer ≥ 0,20) ved å følge
infrastructure-forbildet (0,97): full-sti `references/<mappe>/<fil>.md`-pekere
til kjernefiler, ikke bare mappe-refs.

Funn: security + advisor hadde filene navngitt allerede, men som BARE filnavn
uten `references/`-prefiks → ufanget av både eval-regex og kb-integrity (samme
klasse som de døde ref-paths i steg 2). Fiks = konverter til full sti:
- security:  10→16 navngitte (0,16→0,26). Konverterte 5 perf-filer (§3) + owasp (§1).
- advisor:    1→25 navngitte (0,016→0,40). Konverterte ~18 bare-filnavn i Kunnskaps-
              basen + la til model-catalog-2026 og entry-points for copilot-extensi-
              bility/prompt-engineering (40 filer som manglet ALLE navngitte pekere).
- engineering: 0→35 navngitte (0,0→0,23). Genuint 0 før; la til `> Kjernefiler:`-linje
              med 4-6 kuraterte filer per §1-7.

Bivirkning: kb-integrity-checks 115→181 (de nye full-sti-refsene valideres nå),
orphan-warnings 260→223. Verifisert: K5 PASS alle 5 · K3/refTall ikke regredert ·
validate 239 · kb-eval 15 · kb-update 122 · kb-integrity 181/181.

Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01REiKFhP4w6xGXXqWKpPCJJ

skills/ms-ai-engineering/SKILL.md

@@ -41,6 +41,8 @@ RAG er det mest brukte mønsteret for å gi LLM-er organisasjonsspesifikk kunnsk
 
 For detailed guidance, see `references/rag-architecture/` (28 files).
 
+> **Kjernefiler:** `references/rag-architecture/rag-core-patterns.md`, `references/rag-architecture/agentic-rag-patterns.md`, `references/rag-architecture/azure-ai-search-setup.md`, `references/rag-architecture/chunking-strategies.md`, `references/rag-architecture/hybrid-search-configuration.md`, `references/rag-architecture/rag-evaluation-frameworks.md`
+
 ---
 
 ## 2. Agent-orkestrering
@@ -51,6 +53,8 @@ For offentlig sektor: Agenter krever AI Act-klassifisering, DPIA for persondata,
 
 For detailed guidance, see `references/agent-orchestration/` (24 files).
 
+> **Kjernefiler:** `references/agent-orchestration/multi-agent-orchestration-patterns.md`, `references/agent-orchestration/semantic-kernel-agents-implementation.md`, `references/agent-orchestration/foundry-agent-service-ga.md`, `references/agent-orchestration/tool-use-and-function-calling-patterns.md`, `references/agent-orchestration/agent-to-agent-a2a-protocol.md`
+
 ---
 
 ## 3. Azure AI Services
@@ -61,6 +65,8 @@ Start med GPT-4o for prototyping, bruk spesialiserte tjenester for ytelse/kostna
 
 For detailed guidance, see `references/azure-ai-services/` (20 files).
 
+> **Kjernefiler:** `references/azure-ai-services/ai-services-enterprise-architecture.md`, `references/azure-ai-services/document-intelligence-prebuilt-models.md`, `references/azure-ai-services/speech-services-speech-to-text.md`, `references/azure-ai-services/azure-ai-vision-image-analysis.md`, `references/azure-ai-services/language-services-text-analytics.md`
+
 ---
 
 ## 4. Dataingeniør for AI
@@ -71,6 +77,8 @@ For offentlig sektor: Anonymiser/pseudonymiser personopplysninger, bruk syntetis
 
 For detailed guidance, see `references/data-engineering/` (22 files).
 
+> **Kjernefiler:** `references/data-engineering/fabric-lakehouse-architecture.md`, `references/data-engineering/onelake-data-strategy.md`, `references/data-engineering/data-factory-ai-pipelines.md`, `references/data-engineering/data-quality-ai-frameworks.md`, `references/data-engineering/microsoft-purview-governance.md`
+
 ---
 
 ## 5. MLOps / GenAIOps
@@ -87,6 +95,8 @@ MLOps og GenAIOps sikrer pålitelig bygging, deployment og drift av AI-løsninge
 
 For detailed guidance, see `references/mlops-genaiops/` (22 files).
 
+> **Kjernefiler:** `references/mlops-genaiops/mlops-fundamentals-overview.md`, `references/mlops-genaiops/genaiops-llm-specific-practices.md`, `references/mlops-genaiops/ci-cd-for-ml-models.md`, `references/mlops-genaiops/model-versioning-registry-management.md`, `references/mlops-genaiops/llm-evaluation-production.md`
+
 ---
 
 ## 6. Multimodal AI
@@ -95,6 +105,8 @@ Multimodal AI kombinerer tekst, bilde, lyd og video. GPT-4o vision analyserer bi
 
 For detailed guidance, see `references/multi-modal/` (18 files).
 
+> **Kjernefiler:** `references/multi-modal/gpt4o-vision-architecture.md`, `references/multi-modal/multimodal-rag-architecture.md`, `references/multi-modal/document-vision-processing.md`, `references/multi-modal/whisper-speech-recognition.md`
+
 ---
 
 ## 7. API Management for AI
@@ -105,6 +117,8 @@ Bruk semantisk caching for FAQ-lignende domener. Unngå for personaliserte svar
 
 For detailed guidance, see `references/api-management/` (19 files).
 
+> **Kjernefiler:** `references/api-management/apim-ai-gateway-overview.md`, `references/api-management/genai-gateway-policies.md`, `references/api-management/token-rate-limiting-policies.md`, `references/api-management/load-balancing-openai-instances.md`, `references/api-management/semantic-caching-apim.md`
+
 ---
 
 ## 8. Referansekatalog