mcpbeat Sign in

Skill Aks Health Agent Skill

[Skill] aks, aks health, cluster health, node pool, activity logs - Inspect Koji AKS cluster health, node pool status, autoscaling, activity logs, deployment failures, and Azure control-plane operations.

353 tokens
context cost
the whole folder, loaded on every use
1
files
instructions only
0
copies elsewhere
how many repositories repackaged it
5305
stars on the repo
on the repository, not the skill itself

Install

one command, takes just this skill from the repository
npx skills add https://github.com/microsoft/azurelinux --skill skill-aks-health

The instruction itself

4 sections, as written by the author

Koji AKS Cluster Health

Tools

| Tool | Purpose |

|------|---------|

| aks_cluster_get | List/get AKS cluster details and provisioning state |

| aks_nodepool_get | List/get node pool status, VM size, scaling config |

| monitor_activitylog_list | Azure control-plane operations and failures |

AKS node pools

The Koji AKS cluster has four node pool types:

| Pool | Purpose |

|------|----------|

| System | Core K8s services (coredns, metrics-server) |

| Infra | Koji hub, web, kojira, jobs |

| Builder (x86_64) | x86_64 build workers |

| Builder (arm64) | ARM64 build workers |

Use aks_nodepool_get to discover current VM sizes and scaling configuration. Builder pools use autoscaling with a configurable maximum node count (check your AKS deployment or IaC configuration for the exact value and defaults).

Activity logs

Use monitor_activitylog_list to check for:

  • Failed deployments or provisioning errors
  • Scale-up/scale-down events on node pools
  • Resource modification operations
  • RBAC or permission-related failures

Set hours to scope the time window (e.g., 12 or 24).

Other skills for the same job

different authors, same section of the catalogue
Lamindb
by christophacham
×3

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

22k tokens
Latchbio Integration
by christophacham
×3

Latch platform for bioinformatics workflows. Build pipelines with Latch SDK, @workflow/@task decorators, deploy serverless workflows, LatchFile/LatchDir, Nextflow/Snakemake integration.

12k tokens
Modal
by christophacham
×3

Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch processing jobs, scheduling compute-intensive tasks, or serving APIs that require GPU acceleration or dynamic scaling.

17k tokens
Pyhealth
by christophacham
×3

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

22k tokens
Github Workflow Automation
by ComeOnOliver
×3

Advanced GitHub Actions workflow automation with AI swarm coordination, intelligent CI/CD pipelines, and comprehensive repository management

9k tokens
Lamindb
by ComeOnOliver
×3

This skill should be used when working with LaminDB, an open-source data framework for biology that makes data queryable, traceable, reproducible, and FAIR. Use when managing biological datasets (scRNA-seq, spatial, flow cytometry, etc.), tracking computational workflows, curating and validating data with biological ontologies, building data lakehouses, or ensuring data lineage and reproducibility in biological research. Covers data management, annotation, ontologies (genes, cell types, diseases, tissues), schema validation, integrations with workflow managers (Nextflow, Snakemake) and MLOps platforms (W&B, MLflow), and deployment strategies.

41k tokens
Ml Pipeline Workflow
by ComeOnOliver
×3

Build end-to-end MLOps pipelines from data preparation through model training, validation, and production deployment. Use when creating ML pipelines, implementing MLOps practices, or automating model training and deployment workflows.

5k tokens
Pyhealth
by ComeOnOliver
×3

Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).

39k tokens

How to use it

Copy the folder

Take microsoft/skill-aks-health from the repository into ~/.claude/skills for personal use, or into .claude/skills inside a project.

Check the name does not clash

The agent identifies a skill by the name field in its header. Two skills with the same name cannot sit side by side — one of them will be ignored.