探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Discovers and retrieves reference implementations for Adobe Experience Manager (AEM) Edge Delivery blocks, plugins, and integrations.
Generates layered build guides and execution blueprints by mapping project architecture to available marketplace plugins.
Builds professional, production-ready command-line interfaces with robust argument parsing, subcommands, and interactive UX.
Executes parallel code reviews using external LLM CLIs like Gemini and Codex to provide diverse architectural and quality insights.
Automates security scanning and quality enforcement through a two-layer system of local Git hooks and GitHub Actions.
Implements robust testing strategies using Jest, Vitest, and Testing Library for high-quality JavaScript and TypeScript applications.
Applies professionally curated color palettes and font pairings to digital artifacts, presentation decks, and design systems.
Generates standardized Java web controllers, DTOs, and assemblers for Domain-Driven Design (DDD) architectures.
Automates the configuration of CI/CD pipelines for popular deployment platforms using GitHub Actions and the GitHub CLI.
Implement robust cross-language testing strategies using proven patterns for unit, integration, and end-to-end testing.
Guides developers through a structured, three-phase brainstorming process to transform vague ideas into validated technical designs.
Generates production-grade Helm charts and Kubernetes manifests to streamline containerized application deployments.
Streamlines the creation, execution, and debugging of robust end-to-end browser tests using Playwright.
Standardizes and generates professional internal corporate communications following company-specific templates and reporting formats.
Enforces modern Vue.js standards using the Composition API and TypeScript to ensure scalable, high-performance frontend applications.
Standardizes project directory layouts with clear backend and frontend separation for improved maintainability and scalability.
Optimizes GPU memory usage across multiple AI services by implementing automated VRAM management, retry logic, and inter-service signaling.
Optimizes application performance by designing robust Redis implementations for caching, rate limiting, and distributed locks.
Streamlines the development of PySpark ETL pipelines and distributed data processing workflows.
Monitors RSS/Atom feeds and tracks blog updates directly through the CLI.
Automates deployment safety by monitoring error rates and SLO violations to trigger instant rollbacks across major cloud platforms.
Streamlines the configuration, validation, and secure management of Model Context Protocol (MCP) servers and environment variables.
Provides structured, risk-aware guidance for Human-in-the-Loop (HITL) gates and workflow checkpoints.
Enforces a strict Red-Green-Refactor workflow to ensure all production code is verified by failing tests before implementation.
Standardizes configuration naming conventions and YAML schema rules for messaging and workflow components in Java DDD projects.
Manages and reports software implementation progress through real-time task tracking and automated metric calculation.
Constructs production-grade Model Context Protocol (MCP) servers using Python and TypeScript to connect LLMs with external APIs and services.
Generates comprehensive benchmarking pipelines to compare Nixtla's TimeGPT, StatsForecast, MLForecast, and NeuralForecast models on custom datasets.
Systematically identifies the original source of bugs by tracing invalid data backward through complex execution stacks.
Manages and monitors SSL/TLS certificates to ensure secure connections and prevent service downtime from expired credentials.
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