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Found 1,631 Skills
Define and manage Git workflow rules in docs/rules/git/. Use when establishing commit message formats, branch naming conventions, PR requirements, code review standards, or any Git-related enforceable rules.
Create AI agent configuration files (AGENTS.md, CLAUDE.md, .cursorrules, etc.) for general-purpose and business-domain agents through guided briefing process. Use when user wants to create agent configuration file, set up AI assistant for specific role or domain, configure agent for business workflows, generate AGENTS.md or CLAUDE.md, customize AI behavior for organization, or define agent boundaries and guidelines. Trigger on phrases like create agent config, setup AI assistant, make AGENTS.md, configure agent for role, AI agent for business domain, or help me configure Claude/Cursor/Windsurf.
REST/GraphQL/gRPC API design best practices. Use when designing APIs, defining contracts, handling versioning. Covers OpenAPI 3.2, GraphQL Federation, gRPC streaming.
When the user wants to define PLG metrics, build a growth dashboard, or set KPI targets -- including activation rate, free-to-paid conversion, NRR, or North Star metric. Also use when the user says "PLG dashboard," "growth KPIs," "metric definitions," or "PLG benchmarks." For activation-specific metrics, see activation-metrics. For analytics setup, see product-analytics.
Kubernetes and Helm patterns - use for deployment configs, service definitions, ConfigMaps, Secrets, and Helm chart management
Expert C4 Component-level documentation specialist. Synthesizes C4 Code-level documentation into Component-level architecture, defining component boundaries, interfaces, and relationships. Creates component diagrams and documentation. Use when synthesizing code-level documentation into logical components.
This skill should be used when working with Convex actions, HTTP endpoints, validators, schemas, environment variables, scheduling, file storage, and TypeScript patterns. It provides comprehensive guidelines for function definitions, API design, database limits, and advanced Convex features.
Plan and scope a Minimum Viable Product for a solopreneur. Use when deciding what to build first, what to cut, how to prioritize features, how to define "done" for a first launch, and how to structure the MVP build process. Covers the MVP definition, feature ruthless-cutting framework, build-vs-buy decisions, launch criteria, and post-launch learning loops. Trigger on "plan my MVP", "minimum viable product", "what should I build first", "scope my product", "MVP roadmap", "what features to include", "first version", "launch something".
Integrate Siri voice interactions, Shortcuts, and intelligent suggestions into iOS/watchOS apps using Apple's SiriKit framework. Use when implementing Intents extensions, custom intents, Siri Shortcuts, voice phrase handling, intent resolution/confirmation/handling, IntentsUI for custom Siri interfaces, donating shortcuts, or App Intents migration. Covers system intent domains (messaging, payments, ride booking, workouts, media) and custom intent definition.
Use btca (Better Context App) to efficiently query and learn from the bknd backend framework. Use when working with bknd for (1) Understanding data module and schema definitions, (2) Implementing authentication and authorization, (3) Setting up media file handling, (4) Configuring adapters (Node, Cloudflare, etc.), (5) Learning from bknd source code and examples, (6) Debugging bknd-specific issues
Build container-based Foundry Agents using Azure AI Projects SDK with ImageBasedHostedAgentDefinition. Use when creating hosted agents that run custom code in Azure AI Foundry with your own container images. Triggers: "ImageBasedHostedAgentDefinition", "hosted agent", "container agent", "Foundry Agent", "create_version", "ProtocolVersionRecord", "AgentProtocol.RESPONSES", "custom agent image".
The definitive skill for building and deploying high-performance, distributed systems using Cloud Native standards (Dapr, Redis, Microservices). Use when a project requires professional-grade architecture, cross-service communication, elastic scaling, and sub-second agentic latency. Mandatory for flawless deployments on Kubernetes (Local or Cloud).