探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Routes users to the most effective reinforcement learning algorithms and implementation patterns based on specific problem characteristics.
Generates comprehensive business, architecture, and design documentation through an interactive three-persona Q&A session.
Optimizes AgentDB vector databases using quantization, HNSW indexing, and caching to achieve massive performance gains and memory efficiency.
Profiles and optimizes Python codebases using advanced diagnostic tools and proven efficiency patterns.
Simplifies the creation of distributable Python packages using modern standards like pyproject.toml and automated PyPI publishing workflows.
Implements professional backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design for scalable software.
Automates and optimizes GitHub Actions pipelines using intelligent AI swarm coordination for superior CI/CD and repository management.
Implements sophisticated error handling strategies across multiple programming languages to build resilient, fault-tolerant applications.
Optimizes SQL database performance through systematic query plan analysis, advanced indexing strategies, and efficient data access patterns.
Optimizes version control management by guiding developers through complex Git operations like interactive rebasing, cherry-picking, and data recovery.
Master systematic debugging techniques and root cause analysis to efficiently resolve complex bugs across any technology stack.
Empowers AI agents with persistent, high-performance memory and learning patterns using AgentDB and ReasoningBank.
Tests smart contracts comprehensively using Hardhat and Foundry with unit tests, integration tests, and mainnet forking.
Aligns language learning content to the CEFR framework by generating proficiency-based rubrics, can-do statements, and curriculum progression maps.
Implements industry-leading REST and GraphQL standards to build intuitive, scalable, and developer-friendly backend services.
Delivers personalized educational support through adaptive explanations, scaffolded hints, and targeted error remediation.
Coordinates complex multi-agent swarms using a queen-led architecture and collective intelligence to solve high-level software engineering tasks.
Architects resilient, durable distributed systems using Temporal workflow orchestration and advanced saga patterns.
Implements robust microservices architectures using service boundaries, event-driven communication, and fault-tolerance patterns.
Architects sophisticated LLM applications using LangChain with advanced agent patterns, persistent memory, and modular tool integrations.
Trains and deploys complex neural networks within distributed E2B sandboxes for scalable machine learning workflows.
Streamlines the testing of Temporal workflows and activities using pytest, time-skipping, and mocking strategies.
Defines and implements Service Level Indicators (SLIs) and Objectives (SLOs) to measure and maintain service reliability.
Orchestrates automated GitHub releases with AI swarm coordination for versioning, deployment, and rollback management.
Implements high-performance adaptive learning and trajectory tracking for self-improving AI agents using AgentDB's ultra-fast vector backend.
Upgrades legacy React applications to modern versions and migrates class components to functional components using hooks.
Automates database schema migrations, data transformations, and zero-downtime deployment strategies across multiple ORMs.
Defines and implements measurable service level objectives and error budgets to optimize system reliability and engineering velocity.
Generates production-ready FastAPI project structures with asynchronous patterns, robust dependency injection, and secure authentication.
Simplifies the creation and management of production-ready Helm charts for Kubernetes application packaging and deployment.
Scroll for more results...