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Matchpoint-AI AI Skills

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浏览 Matchpoint-AI 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。

作者统计

已收录技能

7

收录技能的仓库 Stars 合计

0

仓库 Forks

0

平均每个技能的仓库 Stars

0

同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。

7 个技能

全部技能

GitHub

terraform-state-recovery

Matchpoint-AI

Recover from Terraform state issues after infrastructure recreation. Handles orphaned resources, state drift, and cluster recovery. Use when terraform apply fails with resource conflicts.

GitHub

cross-repo-coordination

Matchpoint-AI

Coordinate changes across project-beta repositories when updating runner configurations. Ensures workflow labels match runner scale set names. Use when changing runnerScaleSetName or deploying new runner pools.

GitHub

rackspace-spot-access

Matchpoint-AI

Provides step-by-step instructions for accessing the Rackspace Spot Kubernetes cluster to debug ARC runners using spotctl. Covers installation, authentication via GCP Secret Manager, kubeconfig retrieval, and c...

GitHub

arc-runner-troubleshooting

Matchpoint-AI

Troubleshoot ARC (Actions Runner Controller) runners on Rackspace Spot Kubernetes. Diagnose stuck jobs, scaling issues, and cluster access. Activates on "runner", "ARC", "stuck job", "queued", "GitHub Actions",...

GitHub

arc-terraform-deployment

Matchpoint-AI

Deploy ARC (Actions Runner Controller) infrastructure using Terraform on Rackspace Spot. Handles CRD registration, ArgoCD installation, and namespace management. Use when deploying or troubleshooting ARC infras...

GitHub

rackspace-spot-best-practices

Matchpoint-AI

Best practices for running GitHub Actions ARC runners on Rackspace Spot Kubernetes. Covers spot instance management, preemption handling, cost optimization, and resilience strategies. Activates on "rackspace sp...

GitHub

argocd-bootstrap

Matchpoint-AI

Deploy and manage ArgoCD using the App-of-Apps pattern. Covers bootstrap Applications, ApplicationSets, and GitOps workflows. Use when setting up or troubleshooting ArgoCD deployments.

默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。