AI工程师
Skills specifically designed for AI engineers to help you develop, test, and deploy AI applications more efficiently
解决的痛点
Frequent context switching between different AI models and frameworks for testing
Time-consuming code debugging and performance optimization
Tedious data processing and preprocessing workflows
Lack of unified toolchain for model deployment and monitoring
Need to quickly prototype and validate ideas and experiments
Documentation and knowledge sharing takes significant time
推荐 Skills
Agent Builder
Design and build AI agents for any domain. Use when users:(1) ask to "create an agent", "build an assistant", or "design an AI system"(2) want to understand agent architecture, agentic patterns, or autonomous AI(3) need help with capabilities, subagents, planning, or skill mechanisms(4) ask about Claude Code, Cursor, or similar agent internals(5) want to build agents for business, research, creative, or operational tasksKeywords: agent, assistant, autonomous, workflow, tool use, multi-step, orchestration
作者: shareAI-lab
AutoGPT Agents - 构建自主AI工作流
使用可视化工作流构建和部署自主AI代理。无需编码即可创建连续执行代理、多步骤自动化系统和持久化AI工作流。非常适合希望自动化复杂业务流程的产品经理。
作者: davila7
Claude Opus 4 5 Migration
Migrate prompts and code from Claude Sonnet 4.0, Sonnet 4.5, or Opus 4.1 to Opus 4.5. Use when the user wants to update their codebase, prompts, or API calls to use Opus 4.5. Handles model string updates and prompt adjustments for known Opus 4.5 behavioral differences. Does NOT migrate Haiku 4.5.
作者: anthropics
Cocoindex
Comprehensive toolkit for developing with the CocoIndex library. Use when users need to create data transformation pipelines (flows), write custom functions, or operate flows via CLI or API. Covers building ETL workflows for AI data processing, including embedding documents into vector databases, building knowledge graphs, creating search indexes, or processing data streams with incremental updates.
作者: davila7
Crewai Multi Agent
Multi-agent orchestration framework for autonomous AI collaboration. Use when building teams of specialized agents working together on complex tasks, when you need role-based agent collaboration with memory, or for production workflows requiring sequential/hierarchical execution. Built without LangChain dependencies for lean, fast execution.
作者: davila7
Langsmith Observability
LLM observability platform for tracing, evaluation, and monitoring. Use when debugging LLM applications, evaluating model outputs against datasets, monitoring production systems, or building systematic testing pipelines for AI applications.
作者: davila7
Skill Development
This skill should be used when the user wants to "create a skill", "add a skill to plugin", "write a new skill", "improve skill description", "organize skill content", or needs guidance on skill structure, progressive disclosure, or skill development best practices for Claude Code plugins.
作者: anthropics
Tool Design
This skill should be used when the user asks to "design agent tools", "create tool descriptions", "reduce tool complexity", "implement MCP tools", or mentions tool consolidation, architectural reduction, tool naming conventions, or agent-tool interfaces.
作者: muratcankoylan
Data Pipeline Builder
Automate data processing pipeline construction with support for multiple data sources and transformations
作者: DataFlow
ML Model Debugger
Quickly diagnose machine learning model issues with detailed debugging info and fix suggestions
作者: AI Tools
Python Code Analyzer
Intelligently analyze Python code quality, provide optimization suggestions and best practices
作者: CodeMaster