探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Builds sophisticated Retrieval-Augmented Generation systems to ground LLMs with external data and private knowledge bases.
Designs and implements sophisticated multi-agent orchestration architectures for scalable, isolated, and efficient AI workflows.
Guides users through a structured requirement clarification process to eliminate ambiguity before technical documentation begins.
Validates and debugs Claude Code hooks through unit testing, direct payload invocation, and headless CLI integration.
Verifies real-time API statuses, library versions, and documentation to ensure code implementations are current and secure.
Standardizes the creation of new Claude Code skills by enforcing project patterns, naming conventions, and structural best practices.
Enforces a strict Red-Green-Refactor cycle to ensure all production code is verified by failing tests first.
Optimizes multi-agent system performance through context-efficient coordination patterns and strategic handoff protocols.
Systematically diagnoses and resolves Spring Boot issues including bean definition errors, circular dependencies, JPA bottlenecks, and security misconfigurations.
Provides architectural blueprints and proven patterns for building robust, scalable automation workflows in n8n.
Generates domain-specific reference documents, architecture specifications, and strategic guides for software projects.
Enforces a rigorous, evidence-based methodology to identify root causes and implement reliable fixes for complex software bugs.
Refactors Angular applications to modern standards including Signals, standalone components, and optimized RxJS patterns.
Automates the creation and verification of isolated Git worktrees for safe, parallel feature development.
Extracts and analyzes YouTube video transcripts to provide actionable insights, technical concepts, and project-specific recommendations.
Systematically diagnoses and resolves Kubernetes cluster issues including pod failures, connectivity problems, and resource constraints using a structured four-phase methodology.
Refactors Pandas code to improve performance, readability, and memory efficiency using modern best practices and 2.0+ features.
Automates dotfile management and templating using Dotter to streamline environment configurations across multiple systems.
Automates web browser interactions, end-to-end testing, and UI verification using the Playwright framework.
Diagnoses and resolves complex Terraform issues including state locks, provider authentication, and resource drift using a systematic four-phase approach.
Standardizes code implementation through language-specific patterns, best practices, and automated Git workflows.
Orchestrates a specialized three-phase TDD pipeline using AI subagents for testing, implementation, and mandatory code review.
Refactors PyTorch code to improve maintainability, performance, and adherence to PyTorch 2.x best practices.
Provides expert guidance for writing Python scripts within n8n Code nodes, focusing on data access and environment limitations.
Processes code review feedback through technical verification and objective evaluation to ensure high-quality, logic-driven implementations.
Enforces strict, evidence-based verification protocols before any task is marked as complete or fixed.
Transforms FastAPI and Python code into maintainable, high-performance APIs following Pydantic v2 and SOLID principles.
Refactors legacy or inefficient Next.js code into modern, high-performance App Router architecture using React Server Components and best practices.
Verifies real-time API documentation, library versions, and architectural best practices to ensure code accuracy and security.
Transforms rough conceptual ideas into structured technical designs through interactive dialogue and incremental validation.
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