Design

基于Hyperliquid成功实现经验，为新交易所供应商提供Yuan框架集成指南。使用此技能当需要为新的交易所创建供应商实现，包括项目结构设计、API集成、核心服务实现和最佳实践。适用于交易所API集成、金融系统开发、微服务架构设计。

Guide for adding new AI providers to ClaudeBar using TDD patterns. Use this skill when: (1) Adding a new AI assistant provider (like Antigravity, Cursor, etc.) (2) Creating a usage probe for a CLI tool or local API (3) Following TDD to implement provider integration (4) User asks "how do I add a new provider" or "create a provider for X"

Guide for making improvements to existing ClaudeBar functionality using TDD. Use this skill when: (1) Enhancing existing features (not adding new ones) (2) Improving UX, performance, or code quality (3) User asks "improve X", "make Y better", or "enhance Z" (4) Small enhancements that don't require full architecture design For NEW features, use implement-feature skill instead.

Guide for fixing bugs in ClaudeBar following Chicago School TDD and rich domain design. Use this skill when: (1) User reports a bug or unexpected behavior (2) Fixing a defect in existing functionality (3) User asks "fix this bug" or "this doesn't work correctly" (4) Correcting behavior that violates the user's mental model

Guide for implementing features in ClaudeBar following architecture-first design, TDD, rich domain models, and Swift 6.2 patterns. Use this skill when: (1) Adding new functionality to the app (2) Creating domain models that follow user's mental model (3) Building SwiftUI views that consume domain models directly (4) User asks "how do I implement X" or "add feature Y" (5) Implementing any feature that spans Domain, Infrastructure, and App layers

Eliminate component hedging anti-patterns that mask infrastructure failures. Build systems that fail loudly when broken instead of limping along in degraded states. Critical for production reliability and operational visibility.

DO NOT COMMIT unless user explicitly tells you to. Use this skill EVERY SINGLE TIME before creating a git commit. Provides mandatory commit message format, staging rules, and post-commit summary requirements for the MIRA project

Check dependencies for known vulnerabilities using npm audit, pip-audit, etc. Use when package.json or requirements.txt changes, or before deployments. Alerts on vulnerable dependencies. Triggers on dependency file changes, deployment prep, security mentions.

Create logo components with multiple variants (icon, wordmark, logo) and light/dark modes. Use when the user provides logo SVG files and wants to create a variant-based logo component following the Clerk pattern in the Elements project.

Provides WordPress coding standards, PHP/CSS/JS style guide, code linting and static analysis (phpcs, phpstan, rector, phpcbf). Use before writing or editing PHP, CSS, or JavaScript code, when fixing lint errors, running code quality tools, or reviewing code style compliance.

Enterprise Master-Clone pattern implementation guide for complex multi-step tasks with full project context, autonomous delegation, parallel processing, and intelligent task distribution; activates for large-scale migrations, complex refactoring, parallel exploration, architecture restructuring, and multi-file transformations

Enterprise-grade component design and architecture with React 19, Vue 3.5, Atomic Design patterns, accessibility standards (WCAG 2.1 AA), design systems, and production-ready component libraries. Use when building reusable component systems, designing component libraries, implementing Atomic Design, ensuring accessibility compliance, or creating scalable UI architectures.

Figma design system integration with API automation, design tokens, and component libraries for scalable design infrastructure. Enhanced MCP integration, error handling, and performance optimization.

AI-powered enterprise MCP (Model Context Protocol) server development orchestrator with Context7 integration, intelligent code generation, automated architecture design, and enterprise-grade server deployment patterns for advanced LLM service integration

Agent Factory master skill for intelligent Claude Code agent generation.Includes requirement analysis, domain detection, model selection, template system,validation framework, and advanced features. Contains algorithms, workflows, and patterns.

AI-powered enterprise MCP (Model Context Protocol) server orchestrator with intelligent plugin management, predictive optimization, ML-based performance analysis, and Context7-enhanced integration patterns. Use when creating smart MCP systems, implementing AI-driven plugin discovery, optimizing MCP performance with machine learning, or building enterprise-grade server architecture with automated compliance and governance.

Production-grade data science specialist with TensorFlow 2.20.0, PyTorch 2.9.0, Scikit-learn 1.7.2 expertise. Master data processing, ML pipeline development, model deployment, and statistical analysis. Build end-to-end data science solutions with comprehensive experimentation and visualization.

Enterprise artifact management with governance, lifecycle, SBOM, and supply chain security for November 2025 standards

Toolkit for interacting with and testing local web applications using Playwright. Supports verifying frontend functionality, debugging UI behavior, capturing browser screenshots, and viewing browser logs.

Enterprise MCP (Model Context Protocol) server development using FastMCP 2.0 with production-grade tools, resources, prompts, and intelligent agent-first design. Use when building MCP servers, integrating with LLMs, creating agent tools, implementing RAG systems, or developing protocol-based AI integration solutions.