ml-ops-engineer
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
发现 tools llm ai 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Expert MLOps engineering covering model deployment, ML pipelines, model monitoring, feature stores, and infrastructure automation.
Expert data analysis covering SQL, visualization, statistical analysis, business intelligence, and data storytelling.
Expert full-stack development covering frontend frameworks, backend services, databases, APIs, and deployment for modern web applications.
Expert data engineering covering data pipelines, ETL/ELT, data warehousing, streaming, and data quality.
Expert business intelligence covering dashboard design, data visualization, reporting automation, and executive insights delivery.
Expert sales engineering covering technical demos, solution design, RFP responses, POC management, and technical objection handling.
Expert mobile development covering iOS, Android, React Native, and Flutter for native and cross-platform applications.
Expert backend development covering API design, database architecture, microservices, message queues, caching, and system scalability.
Expert design systems leadership covering component libraries, design tokens, documentation, and design-development collaboration.
Manages a structured knowledge base of patterns, troubleshooting guides, best practices, and workflows. Activates when discovering reusable insights, solving technical problems, or establishing new standards. R...
Executes Exa AI search queries via unified Python CLI. Use when searching the web for current information, finding code examples, researching APIs, SDKs, or retrieving programming context for any library or fra...
Synthesizes research findings into design decisions via codebase investigation. Use when (1) translating research into implementation approaches, (2) selecting between design alternatives, (3) executing after /...
Orchestrates concurrent workstreams via Task tool for non-trivial requests. Decomposes complex tasks into 3-10 parallel agents with independent scopes and synthesizes results. Use when requests involve: (1) mul...
Browser automation and inspection for AI agents via WebSocket
无头模式 AI CLI 调用技能:支持 Gemini/Claude/Codex CLI 的无交互批量调用,包含 YOLO 模式和安全模式。用于批量翻译、代码审查、多模型编排等场景。
使用 Skill Seekers MCP 工具生成 Claude AI 技能的完整工作流指南
Run multiple AI models in parallel for 3-5x speedup with ENFORCED performance statistics tracking. Use when validating with Grok, Gemini, GPT-5, DeepSeek, or Claudish proxy for code review, consensus analysis,...
Integration guide for using detective skills across plugins. Maps agent roles from frontend, bun, and other plugins to appropriate detective skills. Developer agents should use developer-detective, architect ag...
Multi-agent code analysis orchestration using claudemem. Share claudemem output across parallel agents. Enables parallel investigation, consensus analysis, and role-based command mapping.
CRITICAL - Guide for using Claudish CLI ONLY through sub-agents to run Claude Code with OpenRouter models (Grok, GPT-5, Gemini, MiniMax). NEVER run Claudish directly in main context unless user explicitly reque...
Expert knowledge in document and essay writing conventions for English, Japanese, and Chinese (Traditional). Use when writing or translating formal documents, essays, articles, reports, or professional communic...
Expert translation methodology and best practices for English-Japanese-Chinese (Traditional) trilingual translation. Use when translating any content between these languages, including handling idioms, cultural...
Expert knowledge in creating and configuring Claude Code components (subagents, skills, slash commands, hooks, MCP integrations). Use when the user asks to create, modify, or extend .claude/ directory component...
AI agent with tools (search, calculator) using LangGraph and AI SDK.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。