deployment
Deploy agents and skills with full verification. Single command deployment with rollout monitoring, health checks, and automatic rollback.
浏览 X-McKay 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
87收录技能的仓库 Stars 合计
261仓库 Forks
0平均每个技能的仓库 Stars
3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。
Deploy agents and skills with full verification. Single command deployment with rollout monitoring, health checks, and automatic rollback.
Create a new AI agent from template using kubani-dev CLI. Use when adding a new agent to the cluster, starting a new monitoring or automation project.
Testing patterns, fixtures, and best practices for Kubani. Use this skill when writing or running tests.
Use and develop MCP servers for agent capabilities. Includes Temporal, Qdrant, Memory, Discord, and Registry MCP servers.
Standard code patterns and conventions used in Kubani. Reference this skill when writing new code or reviewing existing code.
Add a new node to the Kubernetes cluster. Use when connecting new hardware, expanding cluster capacity, or setting up worker nodes.
Rollback AI agent to a previous version. Use when reverting a deployment, undoing changes, or recovering from failed deploys.
Voyager-inspired continuous learning system with Critic Agent, Reflection Agent, and Discord-based approval workflow for skill proposals.
Build MCP (Model Context Protocol) servers for Claude Code integration. Use when creating tools, resources, or prompts that extend Claude's capabilities. Supports Python FastMCP and TypeScript implementations.
Run comprehensive agent evaluations using YAML-defined test suites with multiple evaluator types including automated, LLM-as-judge, and human review.
Kubani architecture principles, patterns, and design decisions. Use this skill when making architectural decisions or understanding the system design.
Bootstrap a new node for Kubernetes without joining it to the cluster. Use when preparing nodes in advance, testing setup, or staging hardware.
Increment agent version in pyproject.toml. Use when releasing new versions, updating semantic version, or preparing for deployment.
Complete guide for local agent development using kubani-dev CLI, unified configuration, MCP integration, and seamless iteration.
Manage and develop AI agents using kubani-dev CLI. Use for checking agent health, versions, deployment status, running tests, and evaluations.
Compose a formatted news digest from processed articles and trends. Uses LLM to generate cohesive narrative summary with embedded citations. Formats for Discord readability.
Analyze patterns and trends across a batch of articles. Identifies hot topics covered by multiple sources, tracks topic momentum, and detects emerging themes.
Use LLM to analyze a raw article. Generates summary, extracts entities, categorizes content, assigns importance score, and detects breaking news.
Identify articles that qualify as breaking news requiring immediate alerts. Fast check based on article metadata without additional LLM calls.
Collect articles from configured RSS feeds. Fetches from multiple AI-focused news sources including tech blogs, research feeds, and company announcements. Filters articles by age and AI relevance.
Publish news digests and breaking alerts to Discord via the Discord MCP server. Handles message chunking for Discord's 2000 character limit. Uses embeds for breaking alerts to make them stand out. Keywords: pub...
Check health of Temporal workflows in the cluster. Verifies Temporal server pods are running and checks for stuck or failed workflows. Use for monitoring workflow orchestration health. Keywords: Temporal, workf...
Send a notification to Discord via the Discord MCP server. Supports different notification types: health reports, issue alerts, investigation results, and escalations. Uses channel names for routing. Keywords:...
Detect recurring patterns in issues and events. Identifies temporal, resource-based, cluster, and cascading patterns. Suggests prevention strategies. Keywords: recurrence, pattern, detection, trending, recurrin...
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。