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Found 1,317 Skills
Project planning and feature breakdown for Python/React full-stack projects. Use during the planning phase when breaking down feature requests, user stories, or product requirements into implementation plans. Guides identification of affected files and modules, defines acceptance criteria, assesses risks, and estimates overall complexity. Produces module maps, risk assessments, and acceptance criteria. Does NOT cover architecture decisions (use system-architecture), implementation (use python-backend-expert or react-frontend-expert), or atomic task decomposition (use task-decomposition).
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.
Create a Product-Led Sales Motion Pack (PQL/PQA definition, usage-signal spec + routing/SLA, sales outreach playbook, instrumentation plan, and pilot/scale plan). Use for product-led sales, sales-assist, PLG-to-sales handoffs, and converting self-serve usage into sales opportunities. Category: Sales & GTM.
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.
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.
This skill should be used when the user asks to "create a DSPy signature", "define inputs and outputs", "design a signature", "use InputField or OutputField", "add type hints to DSPy", mentions "signature class", "type-safe DSPy", "Pydantic models in DSPy", or needs to define what a DSPy module should do with structured inputs and outputs.
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).
Design Thinking process—Empathize, Define, Ideate, Prototype, Test. Use for product design, solving ambiguous problems, or when you don't know what users really need.