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Found 264 Skills
Version-aware guide for configuring and running Apollo Router for federated GraphQL supergraphs. Generates correct YAML for both Router v1.x and v2.x. Use this skill when: (1) setting up Apollo Router to run a supergraph, (2) configuring routing, headers, or CORS, (3) implementing custom plugins (Rhai scripts or coprocessors), (4) configuring telemetry (tracing, metrics, logging), (5) troubleshooting Router performance or connectivity issues.
Unity Catalog metric views: define, create, query, and manage governed business metrics in YAML. Use when building standardized KPIs, revenue metrics, order analytics, or any reusable business metrics that need consistent definitions across teams and tools.
Use when creating, editing, validating, or troubleshooting a Zeabur template YAML. Use when converting docker-compose to Zeabur template. Do NOT use for deploying templates (use zeabur-template-deploy instead).
MSW `.map` / `.ui` / `.gamelogic` / `.model` 에셋과 `world.yaml` 을 버전 고정된 `@choigawoon/msw-vfs-cli`(npx) 로 읽고·탐색·편집·변환하는 스킬. '맵 구조 확인', '맵 엔티티 목록', 'UI 계층', 'HP바/텍스트 조사', 'entity 값 수정', '컴포넌트 추가/삭제', '.model 값 편집', 'YAML export/import', 'world 빌드', '.map/.ui/.gamelogic/.model 파일 분석' 요청 시 사용. L1(경로 기반 VFS) + L2(entity 단위) + .model + YAML/World 모두 지원.
This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.
Deploy prompt-based Azure AI agents from YAML definitions to Azure AI Foundry projects. Use when users want to (1) create and deploy Azure AI agents, (2) set up Azure AI infrastructure, (3) deploy AI models to Azure, or (4) test deployed agents interactively. Handles authentication, RBAC, quotas, and deployment complexities automatically.
Cross-session learning system that extracts insights from session transcripts and injects relevant past learnings at session start. Uses simple keyword matching for relevance. Complements DISCOVERIES.md/PATTERNS.md with structured YAML storage.
Create Technical Specifications (SPEC) - Layer 10 artifact using YAML format for implementation-ready specifications
GitHub Actions YAML with embedded output contract: security-first, minimal permissions, version pinning. For CI, release, PR checks. Differs from generic templates by spec compliance and auditability.
Configure Home Assistant Lovelace dashboards, cards, views, and themes. Use when working with dashboard YAML, card configuration, view layouts, custom cards, or frontend theming.
Create and debug Home Assistant automations, scripts, blueprints, and Jinja2 templates. Use when working with triggers, conditions, actions, automation YAML, scripts, blueprints, or template expressions. Activates on keywords: automation, trigger, condition, action, blueprint, script, template, jinja2.
CrewAI architecture decisions and project scaffolding. Use when starting a new crewAI project, choosing between LLM.call() vs Agent.kickoff() vs Crew.kickoff() vs Flow, scaffolding with 'crewai create flow', setting up YAML config (agents.yaml, tasks.yaml), wiring @CrewBase crew.py, writing Flow main.py with @start/@listen, or using {variable} interpolation.