found 620 skills in registry

Remote-control tmux sessions for interactive CLIs by sending keystrokes and scraping pane output.
Expert knowledge for Azure Private Link development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, and configuration. Use when building, debugging, or optimizing Azure Private Link applications. Not for Azure Virtual Network (use azure-virtual-network), Azure Virtual Network Manager (use azure-virtual-network-manager), Azure VPN Gateway (use azure-vpn-gateway), Azure ExpressRoute (use azure-expressroute).
Expert guide for designing and building high-quality skills from scratch through structured conversation. Use when someone wants to create a new skill, build a skill, design a skill, or asks for help making Agents do something consistently. Also use when someone says "turn this into a skill", "I want to automate this workflow", "how do I teach my Agent to do X", or mentions creating SKILL.md files. Covers standalone skills and MCP-enhanced workflows. Do NOT use for creating subagents (use subage
Talk to customers without leading them using Mom Test rules: discuss their life not your idea, ask about specifics in the past, and talk less. Use when the user mentions "customer interviews", "validate my idea", "users say they want it but don't buy", "leading questions", or "The Mom Test". Covers commitment and advancement, avoiding compliments, and extracting signal from noise. For product-market fit, see jobs-to-be-done. For rapid prototype testing, see design-sprint.
Applies the *nix Agent design philosophy to agent tool interfaces. Use when asked to design, review, or refactor how an AI agent exposes tools — especially when considering function-calling vs CLI approaches, tool interface reduction, output truncation/overflow, binary guards, stderr handling, or two-layer execution/presentation architecture. Trigger phrases: "design agent tools", "single run tool", "CLI for agents", "tool interface design", "agent tool architecture", "function calling vs CLI",
Expert knowledge for Azure Pipelines development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Pipelines applications. Not for Azure DevOps (use azure-devops), Azure Boards (use azure-boards), Azure Repos (use azure-repos), Azure Test Plans (use azure-test-plans).
Design the small details — triggers, rules, feedback, loops and modes — that separate good products from great ones. Use when the user mentions "microinteraction", "button feedback", "loading state", "toggle design", "animation detail", or "interaction polish". Covers trigger design, state rules, feedback mechanisms, and progressive loops. For overall UI polish, see refactoring-ui. For affordance design, see design-everyday-things.
Guidelines for building production-ready Convex apps covering function organization, query patterns, validation, TypeScript usage, error handling, and the Zen of Convex design philosophy
Agent Workflow Designer
Diagnose and fix retention problems using behavior design (B=MAP). Use when the user mentions "users drop off", "activation rate", "onboarding friction", "retention metrics", or "why users don't complete". Covers the Ability Chain, prompt design, and tiny behaviors that compound. For habit loops and variable rewards, see hooked-ux. For intrinsic motivation, see drive-motivation.
Expert knowledge for Azure Notification Hubs development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when building, debugging, or optimizing Azure Notification Hubs applications. Not for Azure Event Hubs (use azure-event-hubs), Azure Service Bus (use azure-service-bus), Azure Web PubSub (use azure-web-pubsub), Azure SignalR Service (use azure-signalr-service).
Expert knowledge for Azure NetApp Files development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure NetApp Files applications. Not for Azure Files (use azure-files), Azure Blob Storage (use azure-blob-storage), Azure Elastic SAN (use azure-elastic-san), Azure Managed Lustre (use azure-managed-lustre).
Design habit-forming product loops using the Hook Model (Trigger, Action, Variable Reward, Investment). Use when the user mentions "users aren't coming back", "engagement loops", "habit formation", "push notifications", or "variable rewards". Covers ethics evaluation and onboarding for habits. For friction reduction and B=MAP, see improve-retention. For viral sharing, see contagious.
Design stable, compatible public APIs using extend-only design principles. Manage API compatibility, wire compatibility, and versioning for NuGet packages and distributed systems.
Expert knowledge for Azure Managed Lustre development including troubleshooting, best practices, architecture & design patterns, limits & quotas, security, configuration, and integrations & coding patterns. Use when building, debugging, or optimizing Azure Managed Lustre applications. Not for Azure HPC Cache (use azure-hpc-cache), Azure NetApp Files (use azure-netapp-files), Azure Virtual Machines (use azure-virtual-machines).
Backend API design, database architecture, microservices patterns, and test-driven development. Use for designing APIs, database schemas, or backend system architecture.
Design motivation systems using Autonomy, Mastery, and Purpose (AMP) for products and teams. Use when the user mentions "intrinsic motivation", "gamification isn't working", "team incentives", "autonomy", "mastery", or "purpose-driven". Covers why carrot-and-stick fails and how to build progress systems. For habit-forming product loops, see hooked-ux. For retention behavior design, see improve-retention.
Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure Machine Learning applications. Not for Azure Data Science Virtual Machines (use azure-data-science-vm), Azure Databricks (use azure-databricks), Azure HDInsight (use azure-hdinsight), Azure Synapse Analytics (use
Expert knowledge for Azure IoT Edge development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building, debugging, or optimizing Azure IoT Edge applications. Not for Azure IoT Hub (use azure-iot-hub), Azure IoT Central (use azure-iot-central), Azure IoT Operations (use azure-iot-operations), Azure Stack Edge (use azure-stack-edge).
Apply lean thinking to UX: hypothesis-driven design, collaborative sketching, and rapid experiments instead of heavy deliverables. Use when the user mentions "Lean UX", "design hypothesis", "UX experiment", "collaborative design", or "outcome over output". Covers hypothesis statements, MVPs for UX, and cross-functional collaboration. For Build-Measure-Learn, see lean-startup. For usability audits, see ux-heuristics.