cluster-resource-health
Check Kubernetes cluster health including pod status, node conditions, resource utilization, and pending alerts across EKS clusters. Use when monitoring infrastructure health, investigating capacity issues, or...
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Check Kubernetes cluster health including pod status, node conditions, resource utilization, and pending alerts across EKS clusters. Use when monitoring infrastructure health, investigating capacity issues, or...
List and analyze all open pull requests across GitHub repositories. Shows review status, CI/CD check results, age, and reviewers. Use when triaging PRs, checking team velocity, or identifying stale reviews that...
Check Kubernetes cluster health including pod status, node conditions, resource utilization, and pending alerts across EKS clusters. Use when monitoring infrastructure health, investigating capacity issues, or...
This skill should be used whenever users ask food-related questions, meal suggestions, nutrition advice, recipe recommendations, or dietary planning. On first use, the skill collects comprehensive user preferen...
Use when working with destinations, understanding the destination interface, or learning about env pattern and configuration. Covers interface, lifecycle, env mocking, and paths.
Use when writing or updating any documentation - README, website docs, or skills. Covers quality standards, example validation, and DRY patterns.
Use when creating a new walkerOS source. Example-driven workflow starting with research and input examples before implementation.
Use when working with transformers, understanding event validation/enrichment/redaction, or learning about transformer chaining. Covers interface, return values, and pipeline integration.
Use when events aren't reaching destinations, debugging event flow, or troubleshooting mapping issues. Covers common problems and debugging strategies.
Use when working with sources, understanding event capture, or learning about the push interface. Covers browser, dataLayer, and server source patterns.
Use when creating a new walkerOS transformer. Example-driven workflow for validation, enrichment, or redaction transformers.
Use when creating a new walkerOS destination. Example-driven workflow starting with research and examples before implementation.
Use when configuring event mappings for specific use cases. Provides recipes for GA4, Meta, custom APIs, and common transformation patterns.
Use when contributing to walkerOS, before writing code, or when unsure about project conventions. Covers build/test/lint workflow, XP principles, folder structure, and package usage.
Use when working with sources/destinations to understand standard logging patterns, replace console.log, or add logging to external API calls. Covers DRY principles, when to log, and migration patterns.
Use when learning walkerOS architecture, understanding data flow, or designing composable event pipelines. Covers Source→Collector→Destination pattern and separation of concerns.
Use when creating events, understanding event structure, or working with event properties. Covers entity-action naming, event properties, statelessness, and vendor-agnostic design.
Use when transforming events at any point in the flow (source→collector or collector→destination), configuring data/map/loop/condition, or understanding value extraction. Covers all mapping strategies.
Use when writing tests, reviewing test code, or discussing testing approach for walkerOS packages. Covers env pattern, dev examples, and package-specific strategies.
Use mcpc CLI to interact with MCP servers - call tools, read resources, get prompts. Use this when working with Model Context Protocol servers, calling MCP tools, or accessing MCP resources programmatically.
Analyzes existing codebases to understand structure, patterns, and technical debt
Validates plans before execution to catch issues early
Executes GSD plans with atomic commits, deviation handling, checkpoint protocols, and state management
Creates executable phase plans with task breakdown, dependency analysis, and goal-backward verification
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。