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Found 5,512 Skills
Gusto integration. Manage hris data, records, and workflows. Use when the user wants to interact with Gusto data.
Asana integration. Manage project management and ticketing data, records, and workflows. Use when the user wants to interact with Asana data.
Notion integration. Manage project management and document management data, records, and workflows. Use when the user wants to interact with Notion data.
Create and manage Kibana connectors for Slack, PagerDuty, Jira, webhooks, and more via REST API or Terraform. Use when configuring third-party integrations or managing connectors as code.
ADP Workforce Now integration. Manage Persons, Organizations, Jobs, Payrolls, Benefitses, Talents. Use when the user wants to interact with ADP Workforce Now data.
Gitlab integration. Manage Projects, Groups, Users, Labels. Use when the user wants to interact with Gitlab data.
SharpSpring integration. Manage Leads, Persons, Organizations, Deals, Projects, Activities and more. Use when the user wants to interact with SharpSpring data.
Expert guidance for emitting high-quality, cost-efficient OpenTelemetry telemetry. Use when instrumenting applications with traces, metrics, or logs. Triggers on requests for observability, telemetry, tracing, metrics collection, logging integration, or OTel setup.
Slack integration. Manage communication data, records, and workflows. Use when the user wants to interact with Slack data.
Install and configure Model Context Protocol (MCP) servers for Claude Code projects. Use when you want to add or enable an MCP server, connect a tool or integration (database, API, file system), update MCP settings in .mcp.json, manage OAuth-authenticated remote MCP servers, enable/disable individual servers at runtime, or troubleshoot MCP server connection issues.
Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX Runtime, and OllamaSharp. Covers the full spectrum from classic ML through modern LLM orchestration to local inference. Use when adding classification, regression, clustering, anomaly detection, recommendation, LLM integration (text generation, summarization, reasoning), RAG pipelines with vector search, agentic workflows with tool calling, Copilot extensions, or custom model inference via ONNX Runtime to a .NET project. DO NOT USE FOR projects targeting .NET Framework (requires .NET 8+), the task is pure data engineering or ETL with no ML/AI component, or the project needs a custom deep learning training loop (use Python with PyTorch/TensorFlow, then export to ONNX for .NET inference).
Rippling HR integration. Manage Employees, Companies, PayrollRuns, Reports. Use when the user wants to interact with Rippling HR data.