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Found 2,228 Skills
Use this skill when managing multi-repository systems using the `meta` tool (github.com/mateodelnorte/meta). Triggers on meta git clone, meta exec, meta project create/import/migrate, coordinating commands across many repos, running npm/yarn installs across all projects, migrating a monorepo to a multi-repo architecture, or any workflow that requires running git or shell commands against multiple child repositories at once.
Generate a project-specific CLAUDE.md by analyzing the current repository's code, build system, and architecture. 4-phase pipeline: SCAN, DETECT, GENERATE, VALIDATE. Auto-detects language/framework and enriches output with domain-specific conventions (e.g., go-sapcc-conventions for sapcc Go repos). Use for "generate claude.md", "create claude.md", "init claude.md", "bootstrap claude.md", "make claude.md". Do NOT use for improving an existing CLAUDE.md (use claude-md-improver instead).
Agent skill for architecture - invoke with $agent-architecture
Multi-repository coordination, synchronization, and architecture management with AI swarm orchestration
Expert knowledge for Azure Service Fabric development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building Service Fabric clusters, Reliable Actors/Collections, reverse proxy, remoting, or Azure-integrated apps, and other Azure Service Fabric related development tasks. Not for Azure Kubernetes Service (AKS) (use azure-kubernetes-service), Azure App Service (use azure-app-service), Azure Container Apps (use azure-container-apps), Azure Red Hat OpenShift (use azure-redhat-openshift).
Expert knowledge for Azure AI Anomaly Detector development including troubleshooting, best practices, architecture & design patterns, limits & quotas, configuration, and deployment. Use when using univariate/multivariate APIs, Docker/IoT Edge containers, predictive maintenance flows, or regional limits, and other Azure AI Anomaly Detector related development tasks. Not for Azure AI Metrics Advisor (use azure-metrics-advisor), Azure Monitor (use azure-monitor), Azure Machine Learning (use azure-machine-learning).
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.
Go coding standards and style conventions grounded in Effective Go, Go Code Review Comments, and production-proven idioms. Use when writing or reviewing Go code, enforcing naming conventions, import ordering, variable declarations, struct initialization, or formatting rules. Trigger examples: "check Go style", "fix formatting", "review naming", "Go conventions". Do NOT use for architecture decisions, concurrency patterns, or performance tuning — use go-architecture-review, go-concurrency-review, or go-performance-review instead.
Translate discovered client pain points into high-level technology solution architectures for consulting engagements in Software Engineering, Data Platforms, and AI/ML. Produce solution briefs with phased roadmaps, effort estimations, team composition, and technology recommendations. Use when designing a pre-sale technical solution, creating a solution brief for a proposal, or when a prospect needs to understand what the engagement would look like before committing. This is the preventa técnica / solution engineering step.
Multi-perspective code review strategy covering architecture, security, performance, and quality. Follow when reviewing code or analyzing changes.
Implements Syncfusion Windows Forms GridControl with cell-oriented architecture, virtual data loading, and Excel-like features. Use this when working with spreadsheet-like grids, GridStyleInfo cell styling, grid formulas, or covered cell ranges. The skill covers QueryCellInfo events, PopulateValues, ChangeCells, grid selection, editing validation, and extensive cell customization capabilities.
Shared conventions for Next.js 16 + FastAPI full-stack projects. Architecture, code quality, testing, styling, and commands. Referenced by nextjs-fastapi-implementor and nextjs-fastapi-reviewer.