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Found 12,008 Skills
Plan a new feature from concept to approved implementation plan. Activates Product Council for strategic evaluation, then Feature Council for technical planning. Produces a documented decision and scoped task breakdown. Use when starting any new feature work.
Syncs meetings from Granola to Obsidian notes. Fetches notes and transcripts from Granola, and imports them into formatted meeting and transcript notes in Obsidian. Use when the user says "sync my last granola meeting", "get my granola meeting with X", "make a note for my last meeting", or asks to pull in a Granola transcript.
Tinybird Python SDK for defining datasources, pipes, and queries in Python. Use when working with tinybird-sdk, Python Tinybird projects, or data ingestion and queries in Python.
Expert knowledge for Azure AI Personalizer development including troubleshooting, decision making, limits & quotas, security, configuration, and integrations & coding patterns. Use when tuning exploration/apprentice mode, single vs multi-slot calls, model export, quotas, or local inference SDK, and other Azure AI Personalizer related development tasks. Not for Azure AI services (use microsoft-foundry-tools), Azure AI Search (use azure-cognitive-search), Azure AI Metrics Advisor (use azure-metrics-advisor), Azure AI Anomaly Detector (use azure-anomaly-detector).
Expert knowledge for Azure Application Gateway development including troubleshooting, best practices, decision making, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when configuring listeners/routing, WAF/TLS, AGIC with AKS, autoscale/zone redundancy, or App Gateway for Containers, and other Azure Application Gateway related development tasks. Not for Azure Load Balancer (use azure-load-balancer), Azure Front Door (use azure-front-door), Azure Traffic Manager (use azure-traffic-manager), Azure Web Application Firewall (use azure-web-application-firewall).
Expert knowledge for Azure AI Custom Vision development including best practices, decision making, limits & quotas, security, integrations & coding patterns, and deployment. Use when exporting Custom Vision models, calling prediction APIs, using ONNX/TensorFlow, managing CMK/RBAC, or Smart Labeler, and other Azure AI Custom Vision related development tasks. Not for Azure AI Vision (use azure-ai-vision), Azure AI services (use microsoft-foundry-tools), Azure Machine Learning (use azure-machine-learning), Azure AI Foundry Local (use microsoft-foundry-local).
Expert knowledge for Azure Baremetal Infrastructure development including decision making, and architecture & design patterns. Use when choosing NC2 regions/SKUs, planning BareMetal topologies, or integrating NC2 with Azure networking/services, and other Azure Baremetal Infrastructure related development tasks. Not for Azure Large Instances (use azure-large-instances), Azure Virtual Machines (use azure-virtual-machines), Azure Virtual Machine Scale Sets (use azure-vm-scalesets), SAP HANA on Azure Large Instances (use azure-sap).
Expert knowledge for Azure AI Search development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when designing indexes, skillsets, vector/semantic search, indexers, private endpoints, or RAG apps, and other Azure AI Search related development tasks. Not for Azure Cosmos DB (use azure-cosmos-db), Azure Data Explorer (use azure-data-explorer), Azure Synapse Analytics (use azure-synapse-analytics).
PluginEval quality methodology — dimensions, rubrics, statistical methods, and scoring formulas. Use this skill when understanding how plugin quality is measured, when interpreting a low score on a specific dimension, when deciding how to improve a skill's triggering accuracy or orchestration fitness, when calibrating scoring thresholds for your marketplace, or when explaining quality badges to external partners like Neon.
Analyze Swift and mixed-language compile hotspots using build timing summaries and Swift frontend diagnostics, then produce a recommend-first source-level optimization plan. Use when a developer reports slow compilation, type-checking warnings, expensive clean-build compile phases, long CompileSwiftSources tasks, warn-long-function-bodies output, or wants to speed up Swift type checking.
REST and gRPC API design patterns for Go services. Covers HTTP handlers, middleware, routing, request/response patterns, versioning, pagination, graceful shutdown, and OpenAPI documentation. Use when designing APIs, writing HTTP handlers, implementing middleware, structuring REST endpoints, or setting up gRPC services. Trigger examples: "design API", "REST endpoints", "HTTP handler", "middleware pattern", "graceful shutdown", "gRPC service", "API versioning". Do NOT use for general architecture (use go-architecture-review) or concurrency in handlers (use go-concurrency-review).
Audit Go module dependencies: detect outdated packages, check for known vulnerabilities, review go.mod hygiene, identify unused or redundant deps, and evaluate dependency quality. Use when auditing dependencies, checking for CVEs, cleaning up go.mod, upgrading modules, or evaluating third-party packages. Trigger examples: "check dependencies", "audit deps", "go.mod review", "update modules", "vulnerability scan", "govulncheck". Do NOT use for code-level security issues (use go-security-audit) or architecture review (use go-architecture-review).