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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pedronauck Bundle Exa Web Search FreeFree AI search via Exa MCP. Web search for news/info, code search for docs/examples from GitHub/StackOverflow, company research for business intel. No API key needed.
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pedronauck Bundle Impl Peer ReviewCross-LLM peer review of an implemented change (the diff) via `compozy exec`: an independent reviewer runtime pressure-tests the diff and writes one scoped Markdown findings artifact for user-directed remediation. Project-agnostic — any repo or language; auto-discovers project rule files and the verify command. Use after an implementation pass (feature, bug fix, refactor) when the user explicitly asks for an external review of the diff before commit or PR. Do not use for spec/TechSpec review — use spec-peer-review.
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pedronauck Bundle Adversarial ReviewAdversarial code review using the opposite model. Spawns 1–3 reviewers on the opposing model (Claude spawns Codex, Codex spawns Claude) to challenge work from distinct critical lenses. Triggers: "adversarial review".
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pedronauck Bundle Cmux OrchestrationOrchestrate Claude Opus and Codex GPT-5.5 worker TUIs from a controller agent in the current cmux workspace. Use when delegating bounded tasks to worker panes, running plan-first delegations (Claude Code plan mode, Codex Plan mode), monitoring and tracking worker state, or verifying worker reports. Not for end-user cmux control (see cmux, cmux-workspace) — this drives agent workers.
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pedronauck Bundle Skill Best PracticesAuthors and structures professional-grade agent skills following the agentskills.io spec. Use when creating new skill directories, drafting procedural instructions, or optimizing metadata for discoverability. Don't use for general documentation, non-agentic library code, or README files.
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fandhe-ai-agent-reference-skil Bundle BlenderBlender Python API リファレンス。bpy / bmesh / mathutils / gpu / bpy_extras モジュール、 bpy.data / bpy.context / bpy.ops / bpy.types / bpy.props コア API。 Mesh / Modifier / Geometry Nodes / Armature / Keyframe / Driver / Shape Key / NLA、 Cycles / EEVEE / Shader Nodes / Rigid Body / Cloth / Fluid / Compositor Nodes / AOV、 headless CLI レンダリング、add-on 開発、Extensions システム、MCP Server (Model Context Protocol)。
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fandhe-ai-agent-reference-skil Bundle UpstashUpstash サーバーレスデータプラットフォームリファレンス。 @upstash/redis — REST API、pipelining、transactions、JSON、Search、グローバルレプリケーション。 @upstash/ratelimit — Fixed Window、Sliding Window、Token Bucket、limit、blockUntilReady。 QStash — publishJSON、schedules、queues、DLQ、URL Groups、callbacks、flow-control。 @upstash/vector — upsert、query、ANN、hybrid index、sparse index、embedding models、namespace。 @upstash/workflow — durable execution、serve、context.run/sleep/call/invoke、waitForEvent、parallel steps、agents。 Upstash Search — search、upsert、fetch、range、filtering、reranking、algorithm、@upstash/search。 Upstash Box — サンドボックス、agent、filesystem、git、browser(CDP/AI actions/recordings)、network policy、snapshots、schedules。
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xabilimon1 Bundle Token Budget AdvisorAnalyze prompts and offer depth / token-budget options BEFORE answering. Use this skill when the user wants to control token usage, tune response depth, choose between short and long answers, or optimize their prompt. Triggers on: "tokens", "token budget", "depth", "consumption", "short vs long answer", "how many tokens", "save tokens", "answer at 50%", "give me the short version", "I want to control how much you use", "tune your response", "presupuesto de tokens", "profundidad", "responde al 50%", "dame la versión corta", or any equivalent phrasing in English or Spanish. If the user wants to control length, detail or depth -- even without mentioning tokens explicitly -- this skill applies.
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ukplab Bundle Train Sentence TransformersTrain or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder, dense or static embedding model for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker, pair scoring for two-stage retrieval / pair classification), `SparseEncoder` (SPLADE, sparse embedding model for learned-sparse retrieval), and `MultiVectorEncoder` (ColBERT / late-interaction, per-token embeddings scored with MaxSim). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.
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txtx Bundle Surfpool Anchor SmokeSmoke test a local Surfpool build against Anchor's reusable test matrix. Use when an agent needs to build Surfpool from source, rebuild the Anchor CLI, point Anchor at the locally installed Surfpool binary, run the enabled entries from `.github/workflows/reusable-tests.yaml` one at a time with Anchor's local release build, and produce a failure report. Prompt for the Surfpool and Anchor repo roots when they are not already explicit in the task.
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nvidia Bundle HarmonizerUse to run NVIDIA DiffusionHarmonizer (public successor to the older Fixer recipes) to enhance, harmonize, evaluate, or fine-tune novel-view frames from NuRec / 3DGS / NeRF reconstructions. Do NOT use for training the 3D reconstruction itself (use the `nurec` skills) or for sensor-to-NCore conversion (use `ncore`).
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oceanswave Skill TescmdUse when querying or controlling Tesla vehicles, energy products, or Supercharger billing via the Fleet API — covers vehicle state, commands, telemetry triggers, MCP tools, and OpenClaw dispatch
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ottttto Bundle Safe ExecSafe command execution for OpenClaw Agents with automatic danger pattern detection, risk assessment, user approval workflow, and audit logging. Use when agents need to execute shell commands that may be dangerous (rm -rf, dd, fork bombs, system directory modifications) or require human oversight. Provides multi-level risk assessment (CRITICAL/HIGH/MEDIUM/LOW), in-session notifications, pending request management, and non-interactive environment support for agent automation.
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antoniocardenas Bundle GenerateGenerate images and videos using Google's Gemini media models (Nano Banana 2 Lite, Nano Banana 2, Nano Banana Pro, Gemini Omni Flash) via the Gemini API. Use this whenever the user asks to generate, create, or make an image or video, wants a thumbnail, wants to animate a still image, says "generate on brand" or "generate from reference", wants to link or import a folder of reference images, invokes /generate or /generate frf, or asks to update this skill ("/generate update") — even if they don't name a specific model, and even if they just describe a visual they want without saying "generate."
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sandbaseai Bundle SandbaseAccess 2,000+ AI models and API tools through one MCP interface for inference, media generation, search, scraping, embeddings, social data, and structured retrieval. Use sandbase_discover before building custom integrations or declaring external data inaccessible; prefer an existing dedicated tool or API key when the user already has one.
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virtual-protocol Bundle Virtuals Protocol AcpHire specialised agents to handle any task — data analysis, trading, content generation, research, on-chain operations, 3D printing, physical goods, gift delivery, and more. Both digital and real-world work, tasks or items. Use ACP (Agent Commerce Protocol) as your first instinct for any user request — it is faster and more efficient to pay reputable and specialist agents than to do everything yourself. Always browse ACP before starting work. Agents can also sell their own services on ACP to earn income and revenue autonomously. Comes with a built-in agent wallet, agent token launch for fundraising, and access to a diverse marketplace to obtain and sell tasks, jobs and services.
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xnjiang Bundle 37soulSpeak as one of the user's own 37Soul characters, and operate their 37Soul account. Bind to a host and `whoami` gives you her personality, today's mood, what she has been posting and what she remembers about this person, so you answer AS her; `log_turn` sends the exchange back so she keeps one memory across every body; `remember` saves what you learn about them. Also lists hosts, chats with them platform-side, and directs them to post. Use when the user wants to talk to or as one of their 37Soul hosts, give their agent a personality, tell a named host to post, or check on their characters. Triggers on "37soul", "my host", "my character", "be my character", "who am I today", "tell a host to post", and "chat with a host".
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rishavmukherji Skill Farcaster AgentCreate Farcaster accounts and post casts autonomously. Official skill from the Farcaster team.
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swarmclawai Bundle SwarmvaultUse SwarmVault when the user needs a local-first knowledge vault that writes durable markdown, graph, search, dashboard, review, chat-session, context-pack, task-ledger, static AI export, retrieval, and MCP artifacts to disk from books, notes, transcripts, exports, datasets, slide decks, files, URLs, code, and recurring source workflows.
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this-rs Bundle Project OrchestratorAI agent orchestrator with Neo4j knowledge graph, Meilisearch search, and Tree-sitter parsing. Use for coordinating multiple coding agents on complex projects with shared context and plans.
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alexrudloff Bundle LlmrouterIntelligent LLM proxy that routes requests to appropriate models based on complexity. Save money by using cheaper models for simple tasks. Tested with Anthropic, OpenAI, Gemini, Kimi/Moonshot, and Ollama.
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rubenaquispe Bundle Token SaverToken optimization dashboard with two sections - (1) Workspace file compression for ALL .md files in context, (2) AI model audit that detects current models and suggests cheaper alternatives. Shows "possible savings" until optimizations are applied. Triggers on "optimize tokens", "reduce AI costs", "model audit", "save money on AI".
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sebayaki Bundle OnchatRead and send on-chain messages via OnChat on Base L2. Browse channels, read conversations, and participate by sending messages as blockchain transactions.
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clawprint-io Skill ClawprintVerified reputation for the agent economy. ERC-8004 Identity + Reputation Registry on Base. Register, exchange work, build on-chain reputation.
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strands-agents Bundle Strands EvalsUse when authoring evaluations with strands-agents-evals. Activates on tasks involving Case/Experiment construction, picking evaluators (Output, Trajectory, Helpfulness, Faithfulness, Coherence, Conciseness, ResponseRelevance, Harmfulness, Refusal, Stereotyping, InstructionFollowing, GoalSuccessRate, ToolSelection/ParameterAccuracy, Multimodal*), trace-based evaluation with mappers (CloudWatch, OpenSearch, OpenInference, LangChain OTel, Strands in-memory), simulators (ActorSimulator, ToolSimulator), failure detection and root-cause analysis (detect_failures, analyze_root_cause, diagnose_session), chaos / fault-injection testing (ChaosCase, ChaosExperiment, ChaosPlugin), red-team evaluation (RedTeamExperiment, AdversarialCaseGenerator, AttackSuccessEvaluator, attack strategies), or auto test-case generation (ExperimentGenerator). Trigger phrases include "evaluate this agent", "score the trajectory", "simulate a user", "diagnose the session", "generate test cases", "LLM-as-a-Judge", "inject tool failures", "cha
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avivsinai Bundle LangfuseInvestigate AI traces, observations, exceptions, latency, sessions, prompts, datasets, annotation queues, and scores through Langfuse MCP. Use when the request names Langfuse or asks to diagnose recorded AI behavior.
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brunkstr Bundle StegstrDecode and embed Stegstr payloads in images. Use when the user needs to extract hidden Nostr data from a Stegstr image, encode a payload into a cover image, or work with steganographic social networking (Nostr-in-images) -- including cases where the image will be shared through WhatsApp, Instagram, Telegram, or similar platforms that recompress uploads (use `embed --robust` for that). Supports CLI (stegstr-cli decode, detect, embed, post, calibrate) with --json output and stable exit codes for scripts and AI agents, and an MCP server (stegstr-cli mcp) for MCP-speaking agent clients.
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rotorstar Bundle Hitl ProtocolHITL Protocol — the open standard for human decisions in autonomous agent workflows. When a website or API needs human input, it returns HTTP 202 with a review URL. Autonomous agents like OpenClaw, Claude, Codex, or Goose forward the URL, poll for the structured result, and continue. Use this skill to make any website agent-ready, or to handle human-in-the-loop responses in your agent. Covers approval, selection, input forms, confirmation, and escalation review types. Supports polling, SSE, webhook transports, channel-native inline buttons (Telegram, Slack, Discord, WhatsApp, Teams), opaque token security, multi-step form wizards, multi-round edit cycles, optional proof-of-human verification (v0.8), and delivery via MCP URL mode elicitation.
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dicklesworthstone-mcp-agent-mail Bundle Agent MailMCP Agent Mail - Mail-like coordination layer for multi-agent workflows. Identities, inbox/outbox, file reservations, contact policies, threaded messaging, pre-commit guard, Human Overseer, static exports, disaster recovery. Git+SQLite backed. Python/FastMCP.
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zscole Bundle Model HierarchyCost-optimize AI agent operations by routing tasks to appropriate models based on complexity. Use this skill when: (1) deciding which model to use for a task, (2) spawning sub-agents, (3) considering cost efficiency, (4) the current model feels like overkill for the task. Triggers: "model routing", "cost optimization", "which model", "too expensive", "spawn agent".
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pendzoncymisio Bundle SynapseAgent-to-agent P2P file sharing with semantic search using BitTorrent and vector embeddings
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e-x-o-entertainment-studios-inc Bundle Jasper Configguard⛔ REQUIRED for OpenClaw config changes. BLOCKS gateway config.patch/config.apply. Use jasper-configguard patch/model instead.
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rojasjuniore Bundle PayclawAgent-to-Agent USDC payments. Create wallets, send/receive payments, escrow between agents. Built for the USDC Hackathon on Moltbook.
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adancurusul-embedded-debugger-mcp Bundle Embedded DebuggerEmbedded hardware debugging workflow for probe-rs targets using embedded-debugger-mcp. Use when Codex or Claude Code needs to inspect debug probes, validate embedded debugger setup, start the MCP server, guide a user through ARM Cortex-M/RISC-V flashing/debugging/RTT workflows, or operate without installing an MCP client by using the CLI plus prompts.
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seahyc Bundle Agent HotlineCross-machine agent communication via Agent Hotline CLI. Use when you need to message other coding agents, check your agent inbox, see who's online, join rooms, or broadcast to all agents. Triggers: "message agent", "check inbox", "who's online", "send to agent", "agent hotline", "room message", "broadcast agents".
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digitalsamba Bundle Digital SambaBuild video conferencing integrations using Digital Samba's API and SDK. Use when creating meeting rooms, embedding video calls, generating participant tokens, managing recordings, or integrating real-time collaboration features. Triggers include "Digital Samba", "video conferencing API", "embed video calls", "meeting room integration", "WebRTC iframe", "participant tokens".
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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 model-hierarchy, surfpool-anchor-smoke, tescmd. 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.