diff --git a/skills/ms-ai-engineering/SKILL.md b/skills/ms-ai-engineering/SKILL.md
index bbc5532..4f22496 100644
--- a/skills/ms-ai-engineering/SKILL.md
+++ b/skills/ms-ai-engineering/SKILL.md
@@ -111,19 +111,19 @@ For detailed guidance, see `references/api-management/` (19 files).
 
 ### Egne referanser
 
-Denne skillen har 149 filer fordelt på 7 domener. Bruk `Read`-verktøyet for å hente spesifikke filer.
+Denne skillen har 153 filer fordelt på 7 domener. Bruk `Read`-verktøyet for å hente spesifikke filer.
 
 | Domene | Mappe | Filer | Dekning |
 |--------|-------|-------|---------|
 | RAG-arkitektur | `references/rag-architecture/` | 28 | Naive/advanced/modular/agentic RAG, Azure AI Search, embeddings, chunking, evaluering |
-| Agent-orkestrering | `references/agent-orchestration/` | 20 | Multi-agent patterns, Semantic Kernel, tool use, routing, governance, compliance, Foundry Agent Service GA, A2A, CUA, Foundry Workflows |
+| Agent-orkestrering | `references/agent-orchestration/` | 24 | Multi-agent patterns, Semantic Kernel, tool use, routing, governance, compliance, Foundry Agent Service GA, A2A, CUA, Foundry Workflows |
 | Azure AI Services | `references/azure-ai-services/` | 20 | Vision, Speech, Language, Document Intelligence, Translator, Content Safety |
 | Dataingeniør | `references/data-engineering/` | 22 | Fabric Lakehouse, OneLake, Data Factory, data quality, Purview, Delta Lake |
 | MLOps/GenAIOps | `references/mlops-genaiops/` | 22 | CI/CD, model registry, evaluering, drift detection, IaC, GenAIOps pipelines |
 | Multimodal AI | `references/multi-modal/` | 18 | GPT-4o vision, Video Indexer, multimodal RAG, speech pipelines, OCR |
 | API Management | `references/api-management/` | 19 | APIM AI gateway, rate limiting, circuit breaker, semantic caching, security |
 
-**Totalt: 149 filer**
+**Totalt: 153 filer**
 
 ### Kryss-referanser til andre skills
 
diff --git a/skills/ms-ai-governance/SKILL.md b/skills/ms-ai-governance/SKILL.md
index 6d9fd00..c57b796 100644
--- a/skills/ms-ai-governance/SKILL.md
+++ b/skills/ms-ai-governance/SKILL.md
@@ -187,8 +187,8 @@ Implement drift detection (data drift, concept drift, feature drift, prediction
 
 > **Key references** in `references/monitoring-observability/`:
 > - `application-insights-llm-monitoring.md` — Application Insights for LLM
-> - `azure-monitor-ai-services-setup.md` — Azure Monitor setup
-> - `drift-detection-automated-retraining.md` — Drift detection
+> - `azure-monitor-setup-ai-workloads.md` — Azure Monitor setup
+> - `model-performance-drift-detection.md` — Drift detection
 
 ---
 
@@ -198,7 +198,7 @@ Implement drift detection (data drift, concept drift, feature drift, prediction
 
 | Directory | Files | Coverage |
 |-----------|-------|----------|
-| `references/norwegian-public-sector-governance/` | 29 | Utredningsinstruksen, Forvaltningsloven, Digdir principles, DPIA methodology, ROS analysis (incl. threat library, scoring rubrics, sector checklists), NSM, EIF, procurement, benefit realization, accessibility, copyright, budgeting |
+| `references/norwegian-public-sector-governance/` | 30 | Utredningsinstruksen, Forvaltningsloven, Digdir principles, DPIA methodology, ROS analysis (incl. threat library, scoring rubrics, sector checklists), NSM, EIF, procurement, benefit realization, accessibility, copyright, budgeting |
 | `references/responsible-ai/` | 30 | AI Act (compliance guide, Annex III, classification, provider/deployer obligations, FRIA template, conformity assessment, transparency notices, Microsoft tools mapping), GDPR, bias, explainability, HITL, governance, red teaming, content safety, data quality, drift detection, ethics, accountability |
 | `references/monitoring-observability/` | 18 | Azure Monitor, Application Insights, token tracking, KQL, dashboards, alerting, distributed tracing, drift detection, compliance monitoring, cost attribution, data residency, anomaly detection, Copilot observability, streaming, RAG quality, audit logging, SLA |