探索我们完整的 Claude 技能集合,扩展 AI 代理的能力。
Coordinates multi-agent workflows and task states within tak-managed repositories to prevent work overlap and maintain project synchronicity.
Implements distributed tracing and observability for Next.js 14+ App Router applications using OpenTelemetry.
Reviews branch changes for logic bugs and completeness using a lightweight, AI-driven audit.
Extracts website content and structure at high speeds to generate LLM-ready Markdown, interactive site maps, and structured data for RAG pipelines.
Optimizes observability expenses by implementing intelligent sampling strategies for logs and distributed traces.
Simplifies the creation of type-safe React forms by integrating React Hook Form v7 with Zod schema validation.
Manages dynamic list inputs in React forms using useFieldArray with integrated Zod schema validation.
Synthesizes multi-source research findings into a unified, evidence-graded report with proactive conflict resolution.
Generates robust, production-ready Firestore security rules with patterns for RBAC, multi-tenancy, and schema validation.
Architects and manages production-grade Google Cloud Platform resources using standardized Terraform modules and remote state management.
Performs systematic audits of Product Requirements Documents using a 116-item MECE checklist and anti-pattern scanning to ensure development readiness.
Implements secure server-side Firebase Admin SDK patterns for Next.js 14+ applications.
Integrates Sentry observability into Next.js, Python, and Firebase applications to monitor errors and performance in real-time.
Enhances Python code quality through automated Ruff linting, security vulnerability detection, and robust mypy type checking.
Streamlines the creation and configuration of production-grade AI agents using the Google Agent Development Kit (ADK) and Vertex AI.
Optimizes application performance by implementing multi-layered caching strategies across CDNs, browsers, servers, and databases.
Enforces strict Python 3.13 type hinting and mypy configurations to ensure production-grade code quality and static type safety.
Manages Google Cloud Platform infrastructure using modular Terraform patterns, remote state management, and production-grade best practices.
Executes multi-expert deliberation and structured ranking to evaluate technical or business alternatives systematically.
Generates and manages version-controlled visual documentation using Mermaid.js syntax directly within your codebase.
Standardizes technical decision-making by providing structured templates and best practices for documenting architectural choices and trade-offs.
Generates high-performance Model Context Protocol (MCP) server boilerplate optimized for Python 3.13 and modern asyncio patterns.
Guides users through a complete OpenSpec development cycle by performing real codebase tasks and explaining each step.
Automates the creation of secure, production-grade CI/CD pipelines for Google Cloud Platform using GitHub Actions and Cloud Build.
Implements cutting-edge Python 3.13 development patterns, including structural pattern matching, modern type annotations, and asynchronous best practices.
Implements standardized pytest structures including fixtures, parametrization, and the AAA pattern to build robust Python test suites.
Deploys and manages Google Cloud Run services with advanced traffic management, scaling, and health monitoring.
Optimizes AI agent performance through structured XML system prompts, clear instruction hierarchies, and high-quality few-shot examples.
Designs high-signal alerting rules and structured incident response runbooks to minimize alert fatigue and accelerate resolution times.
Orchestrates a comprehensive multi-phase research workflow from initial problem definition to multi-model synthesis.
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