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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aretedriver Bundle Multi Agent SupervisorHierarchical multi-agent orchestration supervisor that decomposes tasks, delegates to specialized worker agents, tracks state, and employs triumvirate consensus for high-stakes operations
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aretedriver Bundle Agent Teams OrchestratorDesigns and coordinates Claude Code Agent Teams — multi-agent collaboration where teammate sessions work in parallel with direct communication, task claiming via file locks, and cross-referencing findings
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amo-tech-ai-rocket-path-ai Skill AI Agent IntegrationIntegrate Gemini AI agents (ProfileExtractor, ProfileEnhancer, ProfileValidator, RiskAnalyzer, TaskGenerator) into features with Structured Output, URL Context, and Thinking Mode. Use when adding AI functionality, implementing AI agents, or integrating Gemini AI.
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amo-tech-ai-rocket-path-ai Skill Claude Agent SdkCreate and configure Claude Agent SDK applications with TypeScript or Python, including MCP integration, subagents, permissions, and custom tools. Use when building Claude Code agents, integrating MCP servers, or creating specialized AI agents.
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amo-tech-ai-rocket-path-ai Skill Atlas ChatUse this skill when building AI chat features - context-aware routing, multi-agent orchestration, startup advisor responses, and integrated chatbot UI. Triggers on "AI chat", "chatbot", "Atlas", "chat interface", "agent routing", "conversational AI".
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amo-tech-ai-rocket-path-ai Bundle Prompt PacksUse this skill when building or executing AI prompt packs - multi-step prompt workflows, templated prompts, and structured AI outputs. Triggers on "prompt pack", "prompt template", "AI workflow", "structured prompts", "prompt steps".
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zpankz Bundle Obsidian DeveloperExpert guide for inspecting and automating Obsidian using the obsidian-devtools MCP server.
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zpankz Bundle Prompt EngineeringUse this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.
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zpankz Bundle Textbook GroundingOrthogonally-integrated Hegelian syntopical analysis for SAQ/VIVA/concept grounding with systematic textbook citations. Implements thesis extraction → antithesis identification → abductive synthesis across multiple authoritative sources. Tensor-integrated with /m command: activates S×T×L synergies (textbook-grounding × pdf-search × qmd = 0.95). Triggers on requests for model SAQ responses, VIVA preparation, concept explanations requiring textbook evidence, or any PEX exam content needing systematic cross-reference validation.
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zpankz Bundle Context EngineeringUnderstand the components, mechanics, and constraints of context in agent systems. Use when writing, editing, or optimizing commands, skills, or sub-agents prompts.
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fusengine Bundle Agent DesignUse when choosing between workflow vs agent patterns, structuring orchestrator/subagent pipelines, or writing a Claude Code agent template.
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amo-tech-ai-rocket-path-ai Bundle Mermaid DiagramsComprehensive guide for creating software diagrams using Mermaid syntax. Use when users need to create, visualize, or document software through diagrams including class diagrams (domain modeling, object-oriented design), sequence diagrams (application flows, API interactions, code execution), flowcharts (processes, algorithms, user journeys), entity relationship diagrams (database schemas), C4 architecture diagrams (system context, containers, components), gantt charts (project timelines, sprints, milestones), kanban diagrams (workflow stages, task boards), user journey diagrams, state diagrams, git graphs, pie charts, or any other diagram type. Triggers include requests to "diagram", "visualize", "model", "map out", "show the flow", or when explaining system architecture, database design, code structure, or user/application flows.
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amo-tech-ai-rocket-path-ai Bundle Lean StartupLean Startup methodology based on Eric Ries' "The Lean Startup". Use when you need to: (1) design MVP scope for new product ideas, (2) define validated learning experiments, (3) create innovation accounting frameworks, (4) decide when to pivot vs. persevere, (5) set up metrics that matter vs. vanity metrics, (6) reduce product development waste, (7) apply scientific method to entrepreneurship, (8) test business model assumptions quickly.
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amo-tech-ai-rocket-path-ai Bundle Pgvectorpgvector - PostgreSQL extension for vector similarity search. Use for embedding storage, cosine similarity, IVFFlat indexes, and HNSW indexes. For this project prefer pgvector-setup (Supabase + OpenAI embeddings) and pgvector-semantic-search (tuning); use this skill for low-level API reference only.
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amo-tech-ai-rocket-path-ai Bundle Agent Best PracticesThis skill should be used when the user asks about "agent best practices", "coding with agents", "plan mode", "agent workflows", "test-driven development with agents", "code review with agents", "pull request automation", mentions agent efficiency, or needs guidance on effective agent collaboration patterns.
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amo-tech-ai-rocket-path-ai Skill Gemini API DevUse this skill when building applications with Gemini models, Gemini API, working with multimodal content (text, images, audio, video), implementing function calling, using structured outputs, or needing current model specifications. Covers SDK usage (google-genai for Python, @google/genai for JavaScript/TypeScript, com.google.genai:google-genai for Java, google.golang.org/genai for Go), model selection, and API capabilities.
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zpankz Bundle Multi Agent PatternsDesign multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
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zpankz Skill Pex Lo Skill CreatorLeverages the multiple CLIs including PEX, pdf-search, hge, researcher, limitless, pieces, screenapp and more, to extract all relevant LOs across both CICM and ANZCA PEX exams, cross reference them with past SAQ questions, extract examiner comments, cross reference this with recommended textbooks via pdf-search, generate a hypergraph using hge, validate insights with researcher, evaluate against pkm using limitless and pieces, and look for additional context to add polish with screenapp and others. Then leverages the PEX and SAQ skill, as well as the metaskills that exist in .claudeate a scaffolding for a modular, programmatic, state of the art skill that integrates quantitative physiological parameters using the qp skill, teleologically grounded framing using the physiology-style and telos skill and follows all of the principles of the code, mega, and agency skills. Finally it should be recursively optimised with the abduct, critique and refactoring agent skillls. Ergo, this skill makes SOTA PEX LO skills.
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zpankz Bundle Model Enhancement ServersGuide for creating MCP servers that enhance LLM reasoning through structured processes, persistence, and workflow guidance. Use when building MCP servers for structured thinking, journaling, memory systems, or other cognitive enhancement patterns.
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zpankz Bundle Knowledge OrchestratorIntelligently coordinates obsidian-markdown, hierarchical-reasoning, and knowledge-graph skills through automatic skill selection, context-aware routing, and hybrid MCP integration. Use when tasks involve knowledge base construction, research synthesis, documentation generation, or learning workflows that could benefit from multi-skill composition. Activates automatically to evaluate whether specialized skills should handle the request.
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zpankz Bundle MCP Skillset WorkflowsNuanced multi-skill orchestration patterns combining debugging, TDD, parallel agents, and root-cause tracing for complex software development
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fusengine Bundle MCP ToolsUse when needing Xcode build automation or Apple API/WWDC documentation lookup via XcodeBuildMCP or apple-docs MCP servers.
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zpankz Skill Multi Agent CoordinationAutomatically invoked when peer agents are detected in the same project. Establishes coordination protocols, file reservations, and message-based collaboration. Triggers on SessionStart when other agents exist in the project.
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fusengine Bundle Prompt LibraryUse when looking for a ready-made agent or task template (code review, support, data analysis, translation, extraction) instead of writing one from scratch.
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fusengine Bundle Prompt TestingUse when comparing two prompt variants, defining quality/efficiency/robustness metrics, or deciding whether to adopt a challenger prompt over a baseline.
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fusengine Bundle Rust Core LanguageUse when writing or reviewing idiomatic Rust — edition 2024 ownership/borrowing design, or fixing LLM pitfalls (clone tax, unwrap infestation, indexed loops). Not for error-type design (rust-error-handling) or SOLID layout (solid-rust).
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fusengine Bundle Laravel LivewireLivewire 4 reactive components on Laravel 13 - wire:model, actions, events, Volt, Folio. Use when building reactive UI without JavaScript.
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fusengine Bundle Prompt CreationUse when writing a new system prompt from scratch, structuring it with Anthropic's 9-element format, or choosing emphasis levels and few-shot examples.
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thewatcher01 Skill Dl MCP11 MCP tools + 3 resources du serveur datalake (search, dossier, leads, territory)
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delorenj Bundle Pjangler DevDevelop pjangler itself: author Commands (atomic file/dir operations), Recipes (composed subsystem bootstrappers), and register them in the CLI. Covers the Command/Recipe architecture, project registry implementation, CommonProject copier implementation, and pjangler dist/build/regression workflows. Use when creating a pjangler Command or Recipe, registering a recipe, adding subsystem bootstrapping, changing templates/commonproject or templates/hermes-agent, debugging pjangler tests, or changing the CLI/MCP server. Triggers: pjangler command, pjangler recipe, add subsystem, bootstrap, project scaffolding, CommonProject template, hermes-agent template, pjangler CLI, pjangler MCP. Do NOT use for: USING pjangler to create a 33god project (→ 33god-projects); generic agent-config fan-out engine mechanics (→ agent-config-fanout); versioning many files in parity (→ mise-versioning); event schema naming (→ bloodbank-integration).
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delorenj Bundle Amazon BedrockBuilds generative AI applications on Amazon Bedrock. Covers model invocation (Converse API, InvokeModel), RAG with Knowledge Bases, Bedrock Agents, Guardrails, and AgentCore (including the Harness managed agent loop). Applies when invoking models, setting up Knowledge Bases, creating agents, applying guardrails, deploying to AgentCore, migrating/porting/converting a Bedrock Agent (including inline agents) to an AgentCore Harness, troubleshooting Bedrock errors (ThrottlingException, AccessDeniedException), or choosing models (Claude, Llama, Nova, Titan). Also for prompt caching, quota and throttling diagnosis, cost tracking, migrating between Claude model generations (4.5 to 4.6 to 4.7), chunking strategies, API selection (Converse vs InvokeModel), guardrail capabilities, and model selection. Also covers AgentCore Payments (x402, microtransactions, Payment Manager, Connector, Instrument, Coinbase CDP, Stripe Privy, paid endpoints, agent payments). NOT for custom model training, Rekognition, or Comprehend.
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thewatcher01 Skill Agent PatternsDesign and implement autonomous AI agent architectures using SOTA patterns. USE when: building multi-agent systems, designing agent workflows, choosing between agent patterns (chaining vs routing vs parallelization), implementing orchestrator-worker pipelines, adding evaluator-optimizer loops, or when the user says "build an agent", "automate this workflow", "make agents work together", "design a multi-agent system". Based on Anthropic "Building Effective Agents" (Dec 2024).
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thewatcher01 Bundle Lead Scorer MlScoring ML hybride des prospects : LLM au démarrage, RandomForest quand assez de données. Utiliser pour évaluer la probabilité de conversion d'un prospect.
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thewatcher01 Skill Research AgentSystematic deep research methodology using multiple sources. USE when: researching SOTA techniques, comparing libraries/frameworks, finding best practices, verifying claims, investigating bugs via GitHub issues, technical due diligence, literature review. Trigger: "research X", "find the best way to Y", "what's the SOTA for Z", "compare A vs B", "is X still maintained". Combines web, GitHub, docs and codebase sources.
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thewatcher01 Bundle Subagent CreatorExpert guidance for creating, building, and using Claude Code subagents and the Task tool. Use when working with subagents, setting up agent configurations, understanding how agents work, or using the Task tool to launch specialized agents.
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fusengine Bundle Breaking ChangesUse when checking whether a Claude Code update breaks our plugin ecosystem — hooks, agent frontmatter, manifest schema, or skill format.
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 multi-agent-supervisor, AI Agent Integration, Claude Agent SDK. 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.