kubernetes-patterns
Kubernetes deployment patterns and best practices. Use when creating Kubernetes manifests, Helm charts, configuring pods, services, deployments, or troubleshooting K8s clusters.
浏览 mindmorass 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。
已收录技能
40收录技能的仓库 Stars 合计
80仓库 Forks
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2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。
Kubernetes deployment patterns and best practices. Use when creating Kubernetes manifests, Helm charts, configuring pods, services, deployments, or troubleshooting K8s clusters.
Create complex graph visualizations using Graphviz DOT language, with both source code and pre-rendered images.
Web search with automatic Qdrant storage for building persistent knowledge
Live streaming patterns for YouTube, Twitch, and OBS. Use when setting up live streams, configuring stream keys, RTMP workflows, multi-platform streaming, or real-time broadcast automation.
Build Retrieval-Augmented Generation systems with vector databases
Set up and configure development workspaces
Build specialized sub-agents for the workflow system
Terraform infrastructure as code patterns and best practices. Use when writing Terraform configurations, creating modules, managing state, or designing IaC architectures.
FFmpeg video and audio processing patterns. Use when transcoding video/audio, extracting clips, adding filters, merging media, creating thumbnails, or batch processing media files.
Onboard new projects with standardized configuration and documentation
Database schema migration patterns and best practices. Use when creating database migrations, implementing zero-downtime schema changes, version control for databases, or managing data migrations.
Design and implement multi-step automation workflows
Build intent routers for agent task distribution
Design and implement n8n workflow automations with best practices
Search and reference Microsoft code samples and SDK documentation
Extract text and data from PDF documents
Patterns for ingesting knowledge into vector databases and RAG systems
Create and manage reusable prompt templates
Migrate and sync vector database collections across environments
Extract and process data from GitHub repositories
Crawl and extract content from websites
Break down complex tasks into actionable, atomic steps that can be executed by individual agents.
Observability patterns for metrics, logs, and traces. Use when implementing monitoring, setting up Prometheus/Grafana, configuring logging pipelines, implementing distributed tracing, or designing alerting syst...
Compare and evaluate embedding models for semantic search
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。