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.
-
tomevault-io Bundle Shopping Admin Browser AutomationThis skill provides tools and techniques for Magento Admin panel automation. Includes admin login, customer management, search term analysis, and other common admin scenarios. Suitable for tasks requiring complex operations on e-commerce admin backends. Use when this capability is needed.
- tomevault-io Bundle Ultrawork
Activate maximum performance mode with parallel agent orchestration for high-throughput task completion Use when this capability is needed.
- tomevault-io Bundle Melsaeed276 Flutter Agent Skills Performance
Performance Skills
- tomevault-io Bundle Michaelboeding Skills Product Engineer Agent
Product Engineer Agent
- tomevault-io Bundle Microsoft Agent Framework Python Development
Python Development Standards
- tomevault-io Bundle Atlas Agent Peer Reviewer
Adversarial quality gate agent for code review - finds flaws before users do Use when this capability is needed.
- tomevault-io Bundle LLM Models Reference
Reference guide for OpenAI model IDs, capabilities, pricing, and provider endpoints. Use when selecting a model, comparing OpenAI capabilities, or validating model IDs for {{PROJECT_NAME}}. Use when this capability is needed.
- tomevault-io Bundle Logics MCP Terminal
Install, configure, and use the Terminal MCP (server-shell) for running shell commands in Codex/agents. Use when wiring MCP clients to terminal control, executing commands via MCP, or debugging shell access. Use when this capability is needed.
- tomevault-io Bundle LLM Docs Optimizer
Optimize documentation for AI coding assistants and LLMs. Improves docs for Claude, Copilot, and other AI tools through c7score optimization, llms.txt generation, question-driven restructuring, and automated quality scoring. Use when asked to improve, optimize, or enhance documentation for AI assistants, LLMs, c7score, Context7, or when creating llms.txt files. Also use for documentation quality analysis, README optimization, or ensuring docs follow best practices for LLM retrieval systems. Use when this capability is needed.
- tomevault-io Bundle Embedding Models
Comprehensive guide for text embedding models and usage. This skill covers Use when this capability is needed.
- tomevault-io Bundle Model Versioning
Model versioning is practice of tracking and managing different versions Use when this capability is needed.
- tomevault-io Bundle Yolo Integration
YOLO (You Only Look Once) is a state-of-the-art object detection model Use when this capability is needed.
- tomevault-io Bundle Model Serving
LLM and ML model deployment for inference. Use when serving models in production, building AI APIs, or optimizing inference. Covers vLLM (LLM serving), TensorRT-LLM (GPU optimization), Ollama (local), BentoML (ML deployment), Triton (multi-model), LangChain (orchestration), LlamaIndex (RAG), and streaming patterns. Use when this capability is needed.
- tomevault-io Bundle Rule Quality Evaluator
Evaluate the quality of existing agent instruction rule sets — CLAUDE.md, AGENTS.md, .cursorrules, copilot-instructions.md, or any coding-agent context file. Use this skill whenever someone asks to audit, score, or improve their agent rules; wants to know if their instructions are effective; or describes rules that aren't changing agent behavior. Trigger on phrases like 'are my rules good?', 'why is the agent ignoring my instructions?', 'score my CLAUDE.md', 'audit my agent rules', 'are these instructions effective?', 'review my copilot-instructions.md', 'my rules aren't working', 'evaluate my context file', or any situation where a human has an existing instruction file and wants to know whether it will actually improve agent behavior. Also trigger when someone has just run agent-instruction-forge and wants to verify the output before committing. Use when this capability is needed.
- tomevault-io Bundle Anisafifi Agent Skills Academic Research Hub
Academic Research Hub
- tomevault-io Bundle Multi Agent Supervisor
Hierarchical multi-agent orchestration supervisor that decomposes tasks, delegates to specialized worker agents, tracks state, and employs triumvirate consensus for high-stakes operations Use when this capability is needed.
- tomevault-io Bundle Smart Illustrator
智能配图与 PPT 信息图生成器。支持三种模式：(1) 文章配图模式 - 分析文章内容，生成插图；(2) PPT/Slides 模式 - 生成批量信息图；(3) Cover 模式 - 生成封面图。所有模式默认生成图片，`--prompt-only` 只输出 prompt。支持 Bento Grid 功能展示图风格（--style bento）。触发词：配图、插图、PPT、slides、封面图、thumbnail、cover、bento grid、功能展示图、feature showcase。 Use when this capability is needed.
- tomevault-io Bundle Writing Specifications
Use when creating technical specifications for features, systems, or architectural designs. Creates comprehensive specification documents using the Wrangler MCP issue management system with proper structure and completeness checks.
- tomevault-io Bundle Dev Lead Routing
Routes development tasks to the correct language or framework expert agent. Use when user requests code review, implementation, refactoring, or debugging. Use when this capability is needed.
- tomevault-io Bundle Intent Detection
Automatically detect user intent and route to appropriate agent Use when this capability is needed.
- tomevault-io Bundle Bankr Agent Error Handling
This skill should be used when encountering authentication errors, API key errors, 401 errors, "invalid API key", "BANKR_API_KEY not set", job failures, or any Bankr API errors. Provides setup instructions and troubleshooting guidance for resolving Bankr configuration issues. Use when this capability is needed.
- tomevault-io Bundle Form UX Patterns
UX patterns for complex forms including multi-step wizards, cognitive chunking (5-7 fields max), progressive disclosure, and conditional fields. Use when building checkout flows, onboarding wizards, or forms with many fields. Use when this capability is needed.
- tomevault-io Bundle Particles Router
Decision framework for particle system projects. Routes to specialized particle skills (gpu, physics, lifecycle) based on task requirements. Use when building particle effects or needing guidance on which particle techniques to combine. Use when this capability is needed.
- tomevault-io Bundle Feature Engineering
Engineer dataset features before ML or Causal Inference. Methods include encoding categorical variables, scaling numerics, creating interactions, and selecting relevant features. Use when this capability is needed.
- tomevault-io Bundle Seisbench Model API
Use when working with an overview of the core model API of SeisBench, a Python framework for training and applying machine learning algorithms to seismic data. It is useful for annotating waveforms using pretrained SOTA ML models, for tasks like phase picking, earthquake detection, waveform denoising and depth estimation. For any waveform, you can manipulate it into an obspy stream object and it will work seamlessly with seisbench models.
- tomevault-io Bundle Zephyr Index
Navigation hub for the Zephyr RTOS Agent Skill ecosystem. Use this skill to discover, select, and navigate to specialized skills for building, configuring, and debugging Zephyr-based embedded applications. Trigger when you are unsure which specialized Zephyr skill to apply to a task. Use when this capability is needed.
- tomevault-io Bundle Berkayoztunc Orquestra Orquestra MCP Connect
Orquestra MCP — Connection Setup
- tomevault-io Bundle Agent Browser Knowledge
agent-browser CLI の仕様と使い方に関する知識を提供。ヘッドレスブラウザ自動化、スナップショット、セレクター、セッション管理、ネットワーク制御について回答。Use when user asks about agent-browser, browser automation, snapshots, selectors, sessions, or web scraping. Also use when user says agent-browser について, ブラウザ自動化, スナップショット, セレクター, セッション管理. Use when this capability is needed.
- tomevault-io Bundle Blazemeter Administration
Comprehensive guide for BlazeMeter Administration, including workspaces, projects, security, alerts, and team management. Use when working with administration for (1) Managing workspaces and projects, (2) Configuring security settings (SAML SSO, 2FA, API keys), (3) Creating workspace alerts, (4) Managing private locations across workspaces, (5) Creating APM credentials, (6) Managing API Monitoring teams, (7) Configuring AI consent, or any other administration tasks. Use when this capability is needed.
- tomevault-io Bundle Code Review Deep
In-depth multi-pass code review of a GitHub change (local checkout). Decomposes the diff into logical review units, reviews each on the best available model (docs on the Haiku model), runs an advisory architectural pass on the highest-risk units, scores findings with an FP-aware scorer, consults the second-brain for conventions and prior reviews, and records false positives. Local output by default; --comment posts to the PR. Use when this capability is needed.
- tomevault-io Bundle Agent Device
Automates Apple-platform apps (iOS, tvOS, macOS) and Android devices. Use when navigating apps, taking snapshots/screenshots, tapping, typing, scrolling, extracting UI info, collecting logs/network/perf evidence, or planning agent-device CLI commands.
- tomevault-io Bundle Generate Agent
Generates Custom Agent files (.github/agents/*.agent.md) with persona-based configurations, specialized tool sets, and role-specific cognitive architectures. Use when the user requests a specialized role or perspective (Security Auditor, Documentation Writer, Release Engineer, etc.). Creates agents with defined identity, constrained tools, and thinking processes aligned to their role. Not for general capabilities—use generate-agent-skills for those.
- tomevault-io Bundle Cboone Agent Harness Plugins Scaffold Go CLI
Scaffold Go CLI
- tomevault-io Bundle Axiom Foundation Models
Use when implementing on-device AI with Apple's Foundation Models framework — prevents context overflow, blocking UI, wrong model use cases, and manual JSON parsing when @Generable should be used. iOS 26+, macOS 26+, iPadOS 26+, axiom-visionOS 26+
- tomevault-io Bundle Christiankoertel Sketch Adam Skills Agent Os
Agent Operating System
- tomevault-io Bundle Scikit Learn Best Practices
Best practices for scikit-learn machine learning, model development, evaluation, and deployment in Python Use when this capability is needed.
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 shopping-admin-browser-automation, ultrawork, melsaeed276--flutter-agent-skills--performance. 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.