探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Refines and compresses LLM prompts to minimize token usage, reduce costs, and maximize output quality.
Optimizes LLM prompts to reduce token usage, lower operational costs, and improve response performance.
Automates the analysis and management of snapshot test failures across major JavaScript testing frameworks.
Orchestrates complex multi-agent systems and intelligent task routing using the AI SDK v5 across multiple LLM providers.
Orchestrates sophisticated multi-agent systems using the AI SDK v5 to manage agent handoffs, task routing, and complex collaborative workflows.
Generates comprehensive alerting rules and monitoring thresholds to proactively manage system performance and reliability.
Identifies outliers and unusual patterns in datasets using specialized machine learning algorithms like Isolation Forest and One-Class SVM.
Identifies unusual patterns and outliers in datasets using advanced machine learning algorithms to uncover potential fraud, errors, or security threats.
Generates production-ready Ansible playbooks to automate server configurations and infrastructure management tasks.
Performs automated fuzz testing on REST APIs to discover vulnerabilities, input validation flaws, and potential security breaches.
Automates the generation and execution of comprehensive API tests for REST and GraphQL endpoints to ensure contract compliance and security.
Automates the generation and execution of comprehensive test suites for REST and GraphQL APIs to ensure contract compliance and security.
Automates the generation of comprehensive Application Performance Monitoring (APM) dashboards for Grafana and Datadog using natural language.
Analyzes application CPU, memory, and execution time to identify performance bottlenecks and recommend code-level optimizations.
Validates application authentication mechanisms against security best practices and industry standards to identify vulnerabilities.
Validates authentication implementations against security best practices to identify vulnerabilities in JWT, OAuth, and session management.
Generates production-grade automated machine learning pipelines including model selection, hyperparameter tuning, and performance evaluation.
Automates the creation of machine learning pipelines including feature engineering, model selection, and hyperparameter tuning.
Generates production-grade auto-scaling policies and configurations for Kubernetes and cloud infrastructure.
Automates the generation of production-ready backup configurations and scripts for databases and applications to ensure robust data protection.
Detects and resolves performance bottlenecks across CPU, memory, I/O, and database layers to optimize application responsiveness.
Automates cross-browser testing across multiple devices and browsers to ensure consistent web application performance and visual fidelity.
Automates multi-browser and cross-device testing to ensure consistent web application performance across Chrome, Firefox, Safari, and Edge.
Optimizes application speed and resource efficiency by analyzing and refining caching strategies, hit rates, and TTL configurations.
Analyzes infrastructure utilization and forecasts resource growth to provide actionable scaling recommendations.
Designs and executes controlled chaos engineering experiments to identify system vulnerabilities and improve overall service resilience.
Designs and executes controlled failure injection experiments to validate system resilience and recovery mechanisms.
Automates the generation of production-ready CI/CD pipeline configurations for GitHub Actions, GitLab CI, and Jenkins.
Automates the end-to-end process of building, training, and evaluating robust classification models for supervised learning tasks.
Builds, optimizes, and evaluates robust supervised learning classification models from structured datasets using automated pipelines.
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