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Found 1,266 Skills
SPEC workflow orchestration with EARS format requirements, acceptance criteria, and Plan-Run-Sync integration for MoAI-ADK development methodology. Use when creating SPEC documents, writing EARS requirements, defining acceptance criteria, planning features, or orchestrating the /moai plan phase. Do NOT use for implementation (use moai-workflow-ddd instead) or documentation generation (use moai-workflow-project instead).
Patterns for building, maintaining, and scaling bioinformatics workflows. Covers Nextflow, Snakemake, WDL/Cromwell, container orchestration, and best practices for reproducible computational biology. Use when ", " mentioned.
Deploy an event-driven workflow that routes S3 uploads to either Lambda or Fargate via Step Functions based on file size. Uses EventBridge to trigger a Step Functions state machine when objects are uploaded to S3. Small files are processed by Lambda, large files by a Fargate task. Includes VPC, ECR repository, ECS cluster, and scoped IAM roles. Trigger keywords: Step Functions, Fargate, Lambda, S3 event, EventBridge, ECS, ECR, file processing, workflow orchestration, serverless.
ZoomInfo platform help — SalesOS, MarketingOS, OperationsOS, Copilot, API, integrations. Use when asking 'how do I do X in ZoomInfo', setting up ZoomInfo searches, configuring ZoomInfo enrichment, ZoomInfo intent, ZoomInfo Engage sequences, ZoomInfo advertising, ZoomInfo FormComplete, ZoomInfo data orchestration, ZoomInfo Copilot, or troubleshooting ZoomInfo. Do NOT use for general enrichment strategy (use /sales-enrich), general intent strategy (use /sales-intent), general cadence design (use /sales-cadence), general data hygiene strategy (use /sales-data-hygiene), or general B2B advertising strategy (use /sales-b2b-advertising).
Azure AI Projects SDK for .NET. High-level client for Azure AI Foundry projects including agents, connections, datasets, deployments, evaluations, and indexes. Use for AI Foundry project management, versioned agents, and orchestration. Triggers: "AI Projects", "AIProjectClient", "Foundry project", "versioned agents", "evaluations", "datasets", "connections", "deployments .NET".
Main security scanning orchestration. Detects language, runs OWASP Top 10 patterns, identifies vulnerabilities, generates structured reports. Use when scanning for XSS, SQL injection, command injection, secrets, or any security vulnerability.
Develop Microsoft Fabric Spark/data engineering workflows with intelligent routing to specialized resources. Provides core workspace/lakehouse management and routes to: data engineering patterns, development workflow, or infrastructure orchestration. Use when the user wants to: (1) manage Fabric workspaces and resources, (2) develop notebooks and PySpark applications, (3) design data pipelines and orchestration, (4) provision infrastructure as code. Triggers: "develop notebook", "data engineering", "workspace setup", "pipeline design", "infrastructure provisioning", "Delta Lake patterns", "Spark development", "lakehouse configuration", "organize lakehouse tables", "create Livy session", "notebook deployment".
Docker and Docker Compose patterns for local development, container security, networking, volume strategies, and multi-service orchestration.
End-to-end marketing campaign planning and execution. Covers audience research, positioning, campaign angle definition, landing page copy, email sequences, social posts, ad copy, short-form video scripts, and content calendars. Use as the orchestration layer for multi-channel product launches.
Query decomposition and multi-source search orchestration. Breaks natural language questions into targeted searches per source, translates queries into source-specific syntax, ranks results by relevance, and handles ambiguity and fallback strategies.
SESSION_ORCHESTRATION.mdに基づくセッション状態遷移管理。内部用。Do NOT load for: user session management, login state, app state handling.
LangChain workflows for `create_agent`, LCEL chains, `bind_tools`, middleware, and structured output with production-safe orchestration. Use when implementing or refactoring LangChain application logic in Python or TypeScript.