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Found 734 Skills
MUST activate before editing ANY file under uiBundles/*/src/ for visual or UI changes to an EXISTING app — pages, components, sections, layout, styling, colors, fonts, navigation, animations, or any look-and-feel change. Use this skill when modifying pages, components, layout, styling, or navigation in an existing UI bundle app. Activate when the project contains appLayout.tsx, routes.tsx, src/pages/, src/components/, or global.css. This skill contains critical project-specific conventions (appLayout.tsx shell, shadcn/ui components, Tailwind CSS, Salesforce base-path routing, module restrictions) that override general knowledge. Without this skill, generated code will use wrong imports, break routing, or ignore project structure. Do NOT use when creating a new app from scratch (use building-ui-bundle-app instead).
Guides research engineering and science on LLM tokens—hypotheses about context use, tokenization, compression, and inference efficiency; rigorous benchmarks (tokens per task, quality–cost Pareto); ablation design; instrumentation and reproducible logs; and research memos that inform product decisions. Use when designing token-efficiency experiments, measuring context utilization, comparing compression or routing methods, analyzing tokenizer effects, or writing technical reports on token/cost trade-offs—not for phased cost roadmaps and owners (ai-token-improvement-plan-engineer), production context pipeline implementation (ai-context-engineer), single-prompt edits (prompt-engineer), general non-token AI research (ai-researcher), or shipping features (ai-engineer).
API Gateway patterns (Kong, Traefik, AWS API Gateway) — rate limiting, auth, routing, versioning. Use when implementing API gateway, reverse proxy, or API management.
Expert skill for prompt engineering and task routing/orchestration. Covers secure prompt construction, injection prevention, multi-step task orchestration, and LLM output validation for JARVIS AI assistant.
Expert guidance for ElysiaJS web framework development. Use when building REST APIs, GraphQL services, or WebSocket applications with Elysia on Bun. Covers routing, lifecycle hooks, TypeBox validation, Eden type-safe clients, authentication with JWT/Bearer, all official plugins (OpenAPI, CORS, JWT, static, cron, GraphQL, tRPC), testing patterns, and production deployment. Assumes bun-expert skill is active for Bun runtime expertise.
Expert in load balancing and dynamic task allocation for multi-agent systems. Specializes in optimal routing based on agent capability, availability, and cost (Token Economics).
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.
Async communication patterns using message brokers and task queues. Use when building event-driven systems, background job processing, or service decoupling. Covers Kafka (event streaming), RabbitMQ (complex routing), NATS (cloud-native), Redis Streams, Celery (Python), BullMQ (TypeScript), Temporal (workflows), and event sourcing patterns.
Help developers integrate Apple MapKit into iOS/macOS apps. Use this skill when users ask to add a map to their app, display maps, show user location on a map, add markers/pins/annotations, implement map clustering, get directions/routing between locations, search for places/points of interest, implement MapKit features, work with MKMapView, SwiftUI Map, MKAnnotation, MKOverlay, MKDirections, MKLocalSearch, or any MapKit-related development task.
Integration guide for the Bloque SDK — a TypeScript SDK for programmable financial accounts, cards with spending controls, and multi-asset transfers. Use when the user asks to "integrate Bloque", "create a card", "set up spending controls", "handle card webhooks", "transfer funds", "create pockets", "set up MCC routing", or build any fintech feature on the Bloque platform.
Multi-backend storage layer with automatic failover between Redis, database, and memory backends. Includes circuit breakers per backend and health-aware routing for high availability.
Implement LangGraph error handling with current v1 patterns. Use when users need to classify failures, add RetryPolicy for transient issues, build LLM recovery loops with Command routing, add human-in-the-loop with interrupt()/resume, handle ToolNode errors, or choose a safe strategy between retry, recovery, and escalation.