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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agentient Skill Pydantic V2 StrictPydantic V2 data modeling with strict mode enforcement for type safety. PROACTIVELY activate for: (1) Creating data models or schemas, (2) Validating API request/response types, (3) Building configuration classes, (4) Defining data contracts, (5) Implementing DTOs. Triggers: "pydantic", "BaseModel", "ConfigDict", "Field", "validator", "model_dump", "strict mode", "data model"
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agentient Skill Intelligent Ingestion[STUB - Not implemented] Intelligent document chunking and ingestion with multiple strategies for Vertex AI RAG Engine. PROACTIVELY activate for: [TODO: Define on implementation]. Triggers: [TODO: Define on implementation]
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agentient Skill Evaluate SchemaComprehensive database schema analysis using 5-expert panel evaluation. PROACTIVELY activate for: (1) schema review, (2) data modeling decisions, (3) database design evaluation, (4) migration planning, (5) normalization analysis. Triggers: "evaluate schema", "review schema", "database design", "data model review", "schema analysis", "evaluate database"
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agentient Skill MCP Advanced Tool PatternsFor long-running operations, stream results incrementally with progress reporting. PROACTIVELY activate for: (1) streaming tool results, (2) tool orchestration, (3) cancellation and timeout handling. Triggers: "streaming", "tool orchestration", "progress reporting"
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agentient Bundle Create Research BriefDesigns multi-model AI research strategies across 9 research patterns for Claude Opus 4.6, Gemini 3.1 Pro Deep Research, and optionally GPT-5.2 Deep Research (with site restrictions and mid-session intervention) or GPT-5.2 Chat. Generates copy-pasteable prompts optimized per model with pattern-aware role assignment, a consolidation manifest for downstream synthesis, and a merge prompt for consolidating outputs. Accepts Research Request Specification from research-interviewer upstream. Triggers on "create research brief", "research plan", "multi-model research", "research prompts for Claude/Gemini/OpenAI", "design research strategy", "consolidate research outputs", "synthesize research results", "research best practices for...", "best practices for [technology]", "create a best practices guide for...", "research [technology] patterns", "document [technology] best practices", "compare X vs Y", "landscape of [domain]", "compliance requirements for [topic]", "ROI analysis for [decision]". Modes: DUAL (Claude+Gemi
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goldenzero Bundle Outcomes AttributionAttribute health outcomes to specific clinical interventions, programs, or policy changes using causal inference methods. Use when determining which interventions drove observed improvements, allocating credit across concurrent programs, or defending outcome claims to payers and regulators.
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fierzone Bundle AI Feedback ReporterCRITICAL - Before ANY file write, audit loaded skills for violations. Auto-report via feedback command.
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fierzone Bundle Git Collaboration StandardsUniversal standards for version control, branching, and team collaboration.
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fierzone Bundle Security StandardsUniversal security protocols for building safe and resilient software.
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fierzone Bundle Typescript Best PracticesIdiomatic TypeScript patterns for clean, maintainable code.
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ricable Bundle Cf Plugin Cognitive KernelCognitive kernel plugin for LLM augmentation with working memory, attention control, meta-cognition, and scaffolding. Use when managing agent working memory, controlling attention across long contexts, enabling self-reflective reasoning, or structuring complex multi-step cognitive tasks.
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ricable Bundle Cf Plugin Quantum OptimizerQuantum-inspired optimization plugin with simulated annealing, QAOA, Grover search, dependency resolution, and schedule optimization. Use when solving combinatorial problems, optimizing task schedules, resolving complex dependency graphs, or finding optimal agent configurations.
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ricable Bundle Cf Plugin Neural CoordinationNeural coordination plugin for multi-agent swarm intelligence using SONA, GNN, and attention mechanisms. Use when optimizing swarm communication, coordinating agent behavior with neural routing, applying graph neural networks to agent topologies, or using attention-based consensus.
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waterplanai Bundle MuxParallel research-to-deliverable orchestration via multi-agent multiplexer. Single orchestrator fans out to agents, all context funnels back. Triggers on keywords: mux, orchestrate, multi-agent, parallel research, fan-out, multiplex
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agentient Skill MCP Protocol Compliance TestingTest JSON-RPC 2.0 protocol compliance and Pydantic schema validation for MCP servers. PROACTIVELY activate for: (1) writing MCP server tests, (2) protocol compliance validation, (3) async tool testing. Triggers: "mcp testing", "protocol compliance", "pytest asyncio"
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fierzone Skill Performance Engineering StandardsUniversal standards for high-performance software development across all frameworks.
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fierzone Bundle Quality Assurance StandardsStandards for maintaining code hygiene, automated checks, and testing integrity.
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fierzone Skill Agent Skills ArchitectureFoundational "High-Density" standard for token-optimized agent instructions and CLI-based automated activation.
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bananayong Skill Find SkillsHelps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
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bananayong Bundle Agent BuilderGuide for designing and creating effective Claude Code custom agents (subagents). Use when users want to create, update, or optimize agents defined in .claude/agents/. Triggers on requests like "make an agent", "create a subagent", "build a reviewer agent", "add a custom agent", or "define an agent for code review".
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bananayong Skill Codex DiscussConsult Codex CLI (OpenAI) to get a second opinion on difficult problems. Use when facing complex debugging, architectural decisions, algorithm design, or any hard problem where cross-checking with another AI model would be valuable. Triggers on requests like "ask codex", "get a second opinion", "discuss with codex", "cross-check this", or when you determine that consulting another model would help solve a particularly challenging task.
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goldenzero Bundle Data Lineage ExplanationExplain data traceability and lineage for financial institution data assets. Use when documenting data flows for regulatory reporting, tracing data from source to consumption, assessing data quality risks, supporting model risk management, or responding to BCBS 239 and FFIEC data governance expectations.
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goldenzero Bundle Model Risk DocumentationDocument and explain model risk management decisions aligned with SR 11-7 and OCC 2011-12 supervisory guidance. Use when creating model validation reports, model inventory documentation, model risk assessments, ongoing monitoring plans, or responding to MRM examination findings.
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waterplanai Skill Ac Tools DrShort alias for ac-tools-dry-run. Applies the same dry-run workflow and constraints to the provided command or prompt. Triggers on keywords: dr, dry run shorthand, preview safely
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waterplanai Skill Setup Voice ModeInstalls and configures VoiceMode MCP for voice interactions in the target client. Triggers on keywords: setup voice, voice mode, install voicemode, configure voice
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waterplanai Skill Ac Tools Dry RunRuns a delegated command or prompt in dry-run mode by setting session status, preserving read-only behavior, and resetting state after execution. Triggers on keywords: dry run, simulate, preview changes, safe mode
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bananayong Skill JSON Render CoreCore package for defining schemas, catalogs, and AI prompt generation for json-render. Use when working with @json-render/core, defining schemas, creating catalogs, or building JSON specs for UI/video generation.
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bananayong Skill Sandbox SetupSet up and configure the agent-sandbox development environment
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peterbamuhigire Bundle IOS AI MlUse when implementing or reviewing iOS AI and ML features with Apple on-device frameworks, model evaluation, and privacy controls; use ios-architecture for general module boundaries.
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peterbamuhigire Bundle AI SecurityUse when securing an AI/LLM-powered feature against prompt injection, cross-tenant data leakage and tenant isolation failures, jailbreaks, and adversarial inputs. Covers PII scrubbing before model calls, output validation, rate limiting, audit logging, and DPPA/GDPR compliance for AI data flows.
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peterbamuhigire Bundle AI Web AppsUse when designing or building an AI-enhanced web app with chat, RAG, MCP tools, streaming, provider abstraction, feature gates, token budgets, and output guardrails.
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waterplanai Bundle Ac QA Playwright CLIBrowser automation via playwright-cli. Token-efficient alternative to Playwright MCP - uses CLI commands through Bash instead of MCP tool schemas. Supports navigation, interaction, screenshots, video recording, and session management. Triggers on keywords: browser, e2e, playwright, screenshot, navigate, click, type, test browser, visual test
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x-cmd Skill Autonomous LoopsPatterns and architectures for autonomous Claude Code loops — from simple sequential pipelines to RFC-driven multi-agent DAG systems.
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peterbamuhigire Skill AI Feature SpecUse when specifying one AI-powered feature end to end, including model choice, prompt and context contracts, output schema, fallbacks, human oversight, UX states, and evaluation.
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peterbamuhigire Bundle AI RAG PatternsUse when building features that answer questions from private data, documents, policies, or time-sensitive information — RAG architecture, chunking strategies, hybrid search, re-ranking, vector databases, evaluation, agentic RAG, multimodal RAG...
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peterbamuhigire Bundle AI Model GatewayUse when designing or building an LLM gateway for provider abstraction, tenant-aware routing, fallbacks, quotas, residency, audit logging, cost capture, and kill-switch enforcement.
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 ai-web-apps, ai-feature-spec, outcomes-attribution. 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.