浏览和安装 Killer-Skills 目录中的数千个 AI Agent 技能。支持 Claude Code、Windsurf、Cursor 等。
Write and maintain Rust CLI/integration tests with snapbox 0.6+ using command assertions, inline snapshots, and minimal wildcard/redaction patterns. Use when replacing manual `get_output` parsing, stabilizing cross-platform snapshots, or refining existing snapbox assertions.
Validates animation durations, enforces typography scale, checks component accessibility, and prevents layout anti-patterns in Tailwind CSS projects. Use when building UI components, reviewing CSS utilities, styling React views, or enforcing design consistency.
Write production-quality Rust code following industry best practices and idiomatic patterns. Use for any Rust coding task including applications, libraries, refactoring, debugging, or code review — with particular expertise in cross-platform GUI development.
Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.
Comprehensive guide for building production-ready MCP (Model Context Protocol) servers. Covers both FastMCP (Python) and MCP SDK (Node/TypeScript) implementations with practical examples, best practices, error handling, testing strategies, security guidelines, and real-world integration patterns.
Set up alerting rules, configure on-call rotations, and manage incident response workflows. Integrate with PagerDuty, Opsgenie, or Grafana OnCall for alert routing and escalation. Use when implementing alerting strategies and on-call management for production systems.
Safely deploy Firebase Cloud Functions with pre-deploy validation and post-deploy verification. Use when the user asks to deploy, push to production, deploy function, ship functions, or needs to deploy Cloud Functions to staging or production.
Configure LangChain4J vector stores for RAG applications. Use when building semantic search, integrating vector databases (PostgreSQL/pgvector, Pinecone, MongoDB, Milvus, Neo4j), implementing embedding storage/retrieval, setting up hybrid search, or optimizing vector database performance for production AI applications.
Use this agent when you need to implement new features, write new code, refactor existing code, or make any code changes to the codebase. This agent should be invoked for tasks requiring high-quality, production-ready code implementation.
Build, refactor, and review Stratify platform features while enforcing cache-first market-data flows, tab preloading, terminal-pro dark UI patterns, Vercel serverless API architecture, and production delivery conventions. Use when work touches Stratify dashboard components, API routes, strategy builder behavior, market data streaming, deployment readiness, or AI search result rendering.
Strategic automation architecture advisor. Use when users want to plan automation solutions, evaluate their tech stack (Shopify, Zoho, HubSpot, etc.), decide between n8n vs Python/Claude Code, or need guidance on production-ready automation design. Invokes plan mode for complex architectural decisions.
Validates code and provides physics reasoning for the 2-D injection-production doublet model using streamline methods. Use when modifying streamline geometry, transport calculations (hydrodynamic, chemical, thermal), breakthrough curves, or Greens function kernels. Also use when debugging simulation behavior or explaining physics concepts.