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Found 1,994 Skills
Multi-client outbound for lead gen agencies — infrastructure architecture, client isolation, domain strategy, warmup at scale, white-labeling, unified reporting, client onboarding playbooks, and cross-client operations. Use when setting up agency outbound infrastructure, onboarding new clients, isolating sending domains per client, managing warmup across 20+ mailboxes, building repeatable client onboarding processes, or designing agency-wide reporting. Do NOT use for Smartlead-specific platform config (use /sales-smartlead), single-domain deliverability (use /sales-deliverability), or individual campaign strategy (use /sales-cadence).
Production-first enterprise skill for The Composable Architecture (TCA) with SwiftUI (iOS 16+, TCA 1.7+). This skill should be used when building new TCA features with @Reducer macro, decomposing god reducers, implementing StackState/StackAction navigation or tree-based @Presents navigation, writing TestStore tests, migrating legacy TCA code to modern @ObservableState patterns, debugging TCA performance issues, managing side effects and dependencies with @DependencyClient, or reviewing TCA code for anti-patterns. Use this skill any time someone works with TCA reducers, stores, effects, or dependencies — AI tools consistently generate outdated pre-1.7 TCA patterns, so this skill is essential for correct code.
Validate PRD, UX, Architecture and Epics specs are complete. Use when the user says "check implementation readiness".
Conduct technical research on technologies and architecture. Use when the user says they would like to do or produce a technical research report
Architecture patterns, design principles, and proven recipes for building robust robotics software. Use this skill when designing robot software architectures, choosing between behavioral frameworks, structuring perception-planning-control pipelines, implementing state machines, designing safety systems, or architecting multi-robot systems. Trigger whenever the user mentions behavior trees, finite state machines, subsumption architecture, sensor fusion, robot safety, watchdogs, heartbeats, graceful degradation, hardware abstraction layers, real-time constraints, or software architecture for robots. Also applies to sim-to-real transfer, digital twins, and robot fleet management.
Eino framework overview, concepts, and navigation. Use when a user asks general questions about Eino, needs help getting started, wants to understand the architecture, or is unsure which Eino skill to use. Eino is a Go framework for building LLM applications with components, orchestration graphs, and an agent development kit.
Expert assistant for BuilderBot (v1.4.0) — a TypeScript/JavaScript framework for building multi-platform chatbots (WhatsApp, Telegram, Instagram, Email, etc.). Use when creating or editing flows (addKeyword, addAnswer, addAction), wiring EVENTS, managing per-user state or globalState, configuring providers (Baileys, Meta, Telegram, Evolution, etc.) or databases (Mongo, Postgres, MySQL, JSON), implementing REST API endpoints (handleCtx, httpServer), debugging flow control (gotoFlow, endFlow, fallBack, idle, capture, flowDynamic), or handling blacklist logic. Architecture: Provider + Database + Flow.
Step-by-step migration guides for moving to Playwright from Cypress or Selenium/WebDriver — command mappings, architecture changes, and incremental adoption strategies.
Salesforce Flex Credit estimation for Agentforce and Data Cloud workloads. TRIGGER when: user needs cost projections, scenario planning, budget sizing, or architecture tradeoff analysis for Agentforce prompts/actions, Data Cloud meters, or monthly Flex Credit usage. DO NOT TRIGGER when: user is building Agentforce metadata or .agent files themselves (use sf-ai-agentforce or sf-ai-agentscript), implementing Data Cloud assets (use sf-datacloud-*), or asking for contract-specific commercial approval that depends on non-public pricing terms.
Deep dive into Claude Code source code to learn production-grade AI agent architecture patterns
Generates publication-quality figures for ML papers from research context. Given a paper section or description, extracts system components and relationships to generate architecture diagrams via Gemini. Given experiment results or data, auto-selects chart type and generates data-driven figures via matplotlib/seaborn. Use when creating any figure for a conference paper.
Design research plans and paper architectures. Given a research topic or idea, generate structured plans with methodology outlines, paper structure, dependency-ordered task lists, UML diagrams, and experiment designs. Use when starting a new research project or paper.