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Found 2,220 Skills
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.
Analyze the current workspace codebase and produce a single-file interactive C4 architecture diagram as HTML (L1 System Context → L2 Containers → L3 Components), with drill-down, breadcrumb, side panel, and light theme. Use when the user asks for C4 diagrams, interactive architecture HTML, system context/container/component views, or 可交互 C4 架构图. 分析当前项目代码结构，生成交互式 C4 架构图（单文件 HTML）：系统上下文、容器、组件三级下钻、面包屑、侧栏详情、浅色主题。触发词：C4 架构图、交互式架构、系统上下文、容器图、组件图、架构可视化、可下钻、architecture diagram、interactive C4。
Generate technical diagrams using HTML/CSS in Flat Engineering Blueprint style. Use when the user wants to create architecture diagrams, system diagrams, flowcharts, or technical specification sheets that look like engineering blueprints. Triggers on requests for flat diagrams, blueprint-style visualizations, or technical drawings.
Audit and improve SwiftUI runtime performance from code review and architecture. Use for requests to diagnose slow rendering, janky scrolling, high CPU/memory usage, excessive view updates, or layout thrash in SwiftUI apps, and to provide guidance for user-run Instruments profiling when code review alone is insufficient.
Senior UI/UX Engineer. Architect digital interfaces overriding default LLM biases. Enforces metric-based rules, strict component architecture, CSS hardware acceleration, and balanced design engineering.
Decide when Zoom MCP is the right fit and produce a safe setup plan for Claude. Use when planning AI workflows over Zoom data, deciding between MCP and REST, or defining a hybrid MCP architecture.
Agent harness architecture — structure a project's agent context across layers for effective AI-assisted development. Covers CLAUDE.md, skills, design docs, hooks, and all artifacts that shape how an agent understands and operates in a codebase. Use when setting up or improving a project's agent configuration, when agent context feels bloated or disorganized, when onboarding a new project for AI-assisted development, or when the agent keeps losing architectural awareness mid-task. Trigger on phrases like "set up claude", "improve CLAUDE.md", "agent keeps forgetting", "context is too long", "harness setup", "organize agent context", "how should I structure my prompts". Supports arguments: `/harness audit` to evaluate an existing project's context architecture, `/harness init` to set up harness from scratch.
Build crypto wallets using Circle Modular Wallets SDK with passkey authentication, gasless transactions, and extensible module architecture. Use when: creating crypto wallets with passkey-based (WebAuthn) registration and login, sending gasless transactions using Circle Gas Station paymaster, batching multiple transactions into a single user operation, implementing passkey recovery using BIP-39 mnemonic phrases, building advanced onchain wallets with custom modules (multisig, subscriptions, session keys). Triggers on: modular wallet, smart account, MSCA, passkey authentication, WebAuthn, gasless, paymaster, Gas Station, bundler client, user operation, userOp, ERC-4337, ERC-6900, account abstraction, toCircleSmartAccount, toPasskeyTransport, toModularTransport, sendUserOperation, batch transactions, 2D nonce, passkey recovery, EIP-1193 provider.
This skill should be used when the user asks to "design multi-agent system", "implement supervisor pattern", "create swarm architecture", "coordinate multiple agents", or mentions multi-agent patterns, context isolation, agent handoffs, sub-agents, or parallel agent execution. Part of the context engineering skill suite — also activates when the user mentions "context engineering" or "context-engineering" in the context of orchestrating context across multiple agents.
昇腾（Ascend）推理生态开源代码仓库智能问答专家旨在为 vLLM、vLLM-Ascend、MindIE-LLM、MindIE-SD、MindIE-Motor、MindIE-Turbo 以及 msModelSlim (MindStudio-ModelSlim) 等仓库提供专家级且易于理解的解释。在处理昇腾（Ascend）推理生态相关项目的用户询问时，务必触发此技能（Skill），可解答使用方法、部署流程、支持模型、支持特性、系统架构、配置管理、调试、测试、故障排查、性能优化、定制开发、源码解析以及其他技术问题。支持中英文双语回复，并可借助 deepwiki MCP 工具检索仓库知识库，生成具备上下文感知且基于证据的回答。Ascend inference ecosystem open-source code repository intelligent question-and-answer (Q&A) expert. Provide expert-level yet comprehensible explanations for repositories such as vLLM, vLLM-Ascend, MindIE-LLM, MindIE-SD, MindIE-Motor, MindIE-Turbo, and msModelSlim (MindStudio-ModelSlim). Use this skill when addressing user inquiries related to these Ascend inference ecosystem projects, including topics such as usage, deployment process, supported models, supported features, system architecture, configuration management, debugging, testing, troubleshooting, performance optimization, custom development, source code analysis, and any other technical issues about these projects. Support responses in both Chinese and English. Use deepwiki MCP tools to query repository knowledge bases and generate context-aware, evidence-based responses.
[Pragmatic DDD Architecture] Guide for creating DDD Repositories (Interfaces and Infrastructure). Use when creating repository contracts or implementing them using Drizzle ORM, Zod, and Postgres. Enforces completely typed transactions with Drizzle Transaction types (no 'unknown'), Result returns for Railway-oriented programming via neverthrow, and mapping pg node errors to domain errors. Fits our docker-compose / drizzle-kit standard testing workflow.
[Pragmatic DDD Architecture] Guide for creating strictly typed Domain validation and infrastructure errors. Use when handling or creating new errors to ensure they conform to the Railway-oriented programming model (neverthrow Result), TypeScript error branding, and constructor parameter constraints. Covers co-location rules vs. shared domain error usage.