AI & ML
AI & ML agent skills cover the machine-learning workflow itself: writing and evaluating prompts, building RAG pipelines, running evals, and wiring up model APIs. Each one is a SKILL.md file your agent loads on demand, so the know-how travels across Claude Code, Cursor, and 60+ agents.
-
loulanyue Skill MCP Server Patterns 5使用Node/TypeScript SDK构建MCP服务器——工具、资源、提示、Zod验证、stdio与可流式HTTP对比。使用Context7或官方MCP文档获取最新API信息。
- loulanyue Skill Agentic Engineering 6
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
- loulanyue Skill Continuous Agent Loop 5
具有质量门、评估和恢复控制的连续自主代理循环模式。
- loulanyue Skill AI Regression Testing 6
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
- loulanyue Skill Continuous Agent Loop 6
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
- loulanyue Skill Continuous Agent Loop
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
- loulanyue Skill Data Scraper Agent 5
构建一个全自动化的AI驱动数据收集代理，适用于任何公共来源——招聘网站、价格信息、新闻、GitHub、体育赛事等任何内容。按计划进行抓取，使用免费LLM（Gemini Flash）丰富数据，将结果存储在Notion/Sheets/Supabase中，并从用户反馈中学习。完全免费在GitHub Actions上运行。适用于用户希望自动监控、收集或跟踪任何公共数据的场景。
- loulanyue Skill Data Scraper Agent 6
Build a fully automated AI-powered data collection agent for any public source — job boards, prices, news, GitHub, sports, anything. Scrapes on a schedule, enriches data with a free LLM (Gemini Flash), stores results in Notion/Sheets/Supabase, and learns from user feedback. Runs 100% free on GitHub Actions. Use when the user wants to monitor, collect, or track any public data automatically.
- loulanyue Skill Agentic Engineering 2
Operate as an agentic engineer using eval-first execution, decomposition, and cost-aware model routing.
- loulanyue Skill MCP Server Patterns 6
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
- loulanyue Skill AI First Engineering 2
Engineering operating model for teams where AI agents generate a large share of implementation output.
- loulanyue Skill MCP Server Patterns 2
Build MCP servers with Node/TypeScript SDK — tools, resources, prompts, Zod validation, stdio vs Streamable HTTP. Use Context7 or official MCP docs for latest API.
- loulanyue Skill Enterprise Agent Ops 2
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
- loulanyue Skill AI First Engineering 3
Engineering operating model for teams where AI agents generate a large share of implementation output.
- loulanyue Skill Enterprise Agent Ops 3
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
- loulanyue Skill AI First Engineering 4
Engineering operating model for teams where AI agents generate a large share of implementation output.
- loulanyue Skill Regex Vs LLM Structured Text
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
- loulanyue Skill Enterprise Agent Ops 4
通过可观测性、安全边界和生命周期管理来操作长期运行的代理工作负载。
- loulanyue Skill AI First Engineering 6
Engineering operating model for teams where AI agents generate a large share of implementation output.
- loulanyue Skill Agent Harness Construction
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
- loulanyue Skill Agent Harness Construction 2
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
- loulanyue Skill Agent Harness Construction 3
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
- loulanyue Skill Agent Harness Construction 4
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
- loulanyue Skill Enterprise Agent Ops 5
Operate long-lived agent workloads with observability, security boundaries, and lifecycle management.
- loulanyue Skill AI Regression Testing 2
Regression testing strategies for AI-assisted development. Sandbox-mode API testing without database dependencies, automated bug-check workflows, and patterns to catch AI blind spots where the same model writes and reviews code.
- loulanyue Skill Continuous Agent Loop 2
Patterns for continuous autonomous agent loops with quality gates, evals, and recovery controls.
- loulanyue Skill Agent Harness Construction 5
设计和优化AI代理的动作空间、工具定义和观察格式，以提高完成率。
- loulanyue Skill Agent Harness Construction 6
Design and optimize AI agent action spaces, tool definitions, and observation formatting for higher completion rates.
- loulanyue Skill Foundation Models On Device 2
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
- loulanyue Skill Foundation Models On Device 3
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
- loulanyue Skill Foundation Models On Device 4
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
-
leynier Bundle Operate AI StackDevelop, test, and troubleshoot this generated AI or ML workload across its framework, model and embedding providers, retrieval stores, interfaces, training, serving, and observability layers. Use when changing prompts, tools, agents, RAG, MCP, inference, fine-tuning, evaluations, or provider integration.
- loulanyue Skill Foundation Models On Device 5
苹果FoundationModels框架用于设备上的LLM——文本生成、使用@Generable进行引导生成、工具调用，以及在iOS 26+中的快照流。
- loulanyue Skill Foundation Models On Device 6
Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.
- loulanyue Skill Regex Vs LLM Structured Text 2
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
- loulanyue Skill Regex Vs LLM Structured Text 3
Decision framework for choosing between regex and LLM when parsing structured text — start with regex, add LLM only for low-confidence edge cases.
Frequently asked questions
What are AI & ML agent skills?
AI & ML agent skills cover the machine-learning workflow itself: writing and evaluating prompts, building RAG pipelines, running evals, and wiring up model APIs. Each one is a SKILL.md file your agent loads on demand, so the know-how travels across Claude Code, Cursor, and 60+ agents.
Which AI & ML skills are most installed?
Popular AI & ML skills on SkillMD right now include mcp-server-patterns, agentic-engineering, continuous-agent-loop. Rankings shift as installs change; sort this page by "Most installs" for the live list.
Do AI & ML skills work with Claude Code and Cursor?
Yes. Every skill here ships as a SKILL.md file, an open format that works in Claude Code, Claude.ai, Cursor, Codex, Windsurf, and 60+ other agents. Install one with npx skillmds@latest add <owner>/<name>, or copy the file into your agent's skills directory.