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.
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michsindlinger Skill Platform Scalability[SKILL_NAME] - Platform Scalability
- michsindlinger Skill Acceptance Testing
Acceptance Testing Skill
- michsindlinger Skill Regression Testing
Regression Testing Skill
- michsindlinger Skill Dependency Management
[SKILL_NAME] - Dependency Management
- michsindlinger Skill API Designing
API Designing Skill
- michsindlinger Skill Data Modeling
Data Modeling Skill
- michsindlinger Skill Test Engineering
[SKILL_NAME] - Backend Test Engineering
- michsindlinger Skill Security Hardening
Security Hardening Skill
- michsindlinger Skill Logic Implementing
[SKILL_NAME] - Backend Logic Implementation
- michsindlinger Skill Security Guidance
Security Guidance Skill
- michsindlinger Skill Integration Adapter
[SKILL_NAME] - External Integration Adapter
- michsindlinger Skill Persistence Adapter
[SKILL_NAME] - Database Persistence Adapter
- michsindlinger Skill Requirements Engineering
Requirements Engineering Skill
- michsindlinger Skill System Integration Patterns
[SKILL_NAME] - System Integration Patterns
- michsindlinger Skill API Documentation
API Documentation Skill
- michsindlinger Skill Dependency Checking
Dependency Checking Skill
- michsindlinger Skill Pattern Enforcement
Pattern Enforcement Skill
- michsindlinger Skill Code Documentation
Code Documentation Skill
- michsindlinger Skill User Guide Writing
User Guide Writing Skill
- michsindlinger Skill Observability Management
Observability Management Skill
- michsindlinger Skill Changelog Generation
Changelog Generation Skill
- michsindlinger Skill Infrastructure Provisioning
Infrastructure Provisioning Skill
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avav25 Bundle Prompt Engineering 2Prompt engineering knowledge base — technique taxonomy with decision tree, prompt template patterns and formatting conventions, OWASP LLM Top 10 security checklist, eval frameworks and testing guide, context engineering, structured output contracts, multi-agent orchestration patterns, cost optimization. Use when designing prompts, reviewing prompt quality, building AI features, creating AI assets, or auditing LLM security.
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agentient Skill Advanced Query[STUB - Not implemented] Advanced RAG query patterns with mandatory citation attribution. PROACTIVELY activate for: [TODO: Define on implementation]. Triggers: [TODO: Define on implementation]
- agentient Skill Corpus Lifecycle
[STUB - Not implemented] Manage RAG corpus creation, updates, and deletion for Vertex AI RAG Engine. PROACTIVELY activate for: [TODO: Define on implementation]. Triggers: [TODO: Define on implementation]
- agentient Skill Performance Tuning
[STUB - Not implemented] RAG performance optimization with re-ranking, query expansion, and semantic caching. PROACTIVELY activate for: [TODO: Define on implementation]. Triggers: [TODO: Define on implementation]
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mmcmedia Skill Mvp BuilderMVP Builder Skill (For Dev Agent)
- mmcmedia Skill Sub Agent Patterns
Sub-Agent Patterns Skill
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hk-vk Bundle Pydantic AIGenAI Agent Framework, the Pydantic way
- hk-vk Bundle Ripple Docs
Ripple TS Framework - AI/LLM Documentation
- hk-vk Bundle Mantine UI LLM Documentation
Mantine UI - LLM Documentation documentation and resources. Use this skill when working with Mantine UI - LLM Documentation or when the user mentions mantine ui - llm documentation.
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sawrus Skill Model EvaluationSkill: Model Evaluation
- sawrus Skill Model Monitoring
Skill: Model Monitoring
- sawrus Skill Inference Serving
Skill: Inference Serving
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catlog22 Bundle Team Coordinate 3Universal team coordination skill with dynamic role generation. Uses team-worker agent architecture with role-spec files. Only coordinator is built-in -- all worker roles are generated at runtime as role-specs and spawned via team-worker agent. Beat/cadence model for orchestration. Triggers on "Team Coordinate ".
- catlog22 Bundle Team Lifecycle V4 3
Full lifecycle team skill — plan, develop, test, review in one coordinated session. Role-based architecture with coordinator-driven beat model. Triggers on "team lifecycle v4".
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 platform-scalability, acceptance-testing, regression-testing. 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.