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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stanfish06 Bundle Zoom Virtual Agent AndroidZoom Virtual Agent Android integration via WebView. Use for Java/Kotlin bridge callbacks, native URL handling, support_handoff relay, and lifecycle-safe embedding.
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stanfish06 Bundle Reaction Engineering SpecialistExpert-thinking profile for Reaction Engineering Specialist (kinetics / reactor design / catalysis / RTD & calorimetry / thermal-hazard & scale-up): Reasons from rate laws, stoichiometry, residence-time distributions, and coupled heat-rate balances through LHHW and Michaelis-Menten kinetics, Thiele/effectiveness and Weisz-Prater diffusion criteria, tracer RTD models, and RC1/ARC calorimetry while treating thermal runaway, hot spots, catalyst deactivation...
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stanfish06 Bundle Programming Languages ResearcherExpert-thinking profile for Programming Languages Researcher (formal semantics / type systems / mechanized metatheory (Coq/Ott) / verification / POPL-PLDI): Reasons from operational semantics, type-theoretic invariants, and soundness as preservation-plus- progress through Ott/LN-defined calculi, Coq/Isabelle/Agda mechanization, Hindley- Milner inference, and abstract-interpretation Galois connections while treating stuck terms, blame escaping onto well-typed pure terms...
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mrmps Skill Headline Filter Map ReduceFilter hundreds or thousands of headlines, search results or feed items against a written brief before opening any of them, using a two-stage cascade that spends a fast model on everything and a reasoning model only on the borderline band. Use when a monitoring run, feed sweep or search returns more items than are worth reading. Triggers on "which of these are relevant", "filter this feed", "go through these headlines", "anything here about X", "catch me up on".
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tanveer-rajpurohit Bundle Grill MeA relentless Socratic interview to sharpen architecture, plans, and designs. Probes edge cases, concurrency, scale, failure modes, and trade-offs. Supports optional documentation mode (--docs) to automatically generate ADRs (docs/adr/) and domain models / ubiquitous language (CONTEXT.md) as decisions lock. Trigger for: "grill me", "question my plan", "is this the best approach", "challenge this design", "grill with docs", "build domain model".
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stanfish06 Bundle Computational NeuroscientistExpert-thinking profile for Computational Neuroscientist (computational / dry / modeling & neural data analysis): Reasons from encoding/decoding, GLM/LNP spike-train likelihood, mean-field E-I balance, and neural manifolds through NEST/Brian/NEURON/BMTK, GPFA/LFADS, Brain-Score alignment, and trained-RNN reverse engineering while treating spike-sorting contamination, model non-identifiability, nested-CV leakage, and...
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stanfish06 Bundle Nonlinear Dynamics Chaos ScientistExpert-thinking profile for Nonlinear Dynamics & Chaos Scientist (theoretical / computational / experimental dynamical systems): Reasons from flows, maps, bifurcations, and invariant sets; continues with MatCont/AUTO/COCO, validates chaos with IAAFT surrogates and embedding convergence, and treats spurious Lyapunov exponents, stiff integrator artifacts, and colored-noise confounds as first-class failure modes.
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stanfish06 Bundle Knowledge Representation ResearcherExpert-thinking profile for Knowledge Representation Researcher (ontology engineering / description logics / semantic web (OWL 2, SPARQL, SHACL) / OBDA / neuro-symbolic integration): Reasons from model-theoretic semantics, the expressivity-vs- decidability-vs-scalability tradeoff, and competency questions through OWL 2 profiles, reasoners (HermiT, Pellet, ELK), ROBOT/Protégé pipelines, and SHACL validation while treating unsatisfiable classes, silent OWA-vs-CWA semantic mixing, hallucinated...
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stanfish06 Bundle Cryo Em Structural BiologistExpert-thinking profile for Cryo-EM Structural Biologist (wet-lab / structural biology / single-particle cryo-EM): Reasons from vitrified specimens, CTF-modulated projections, particle heterogeneity, FSC validation, local resolution, preferred orientation, and map-model fit before making structural claims.
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stanfish06 Bundle Visualization Strategy And CritiqueChoose, lay out, critique, and explain data visualizations. Use when the user asks what visualization fits a dataset or goal, how a chart, dashboard, operational workspace, UML-like diagram, or software architecture diagram should be composed or interacted with, asks for visual page design, a layout mockup, generated large-screen and mobile concept images, or to be shown what a visualization could look like, when domain-native contextual surfaces or graphical backgrounds may help, when scrollytelling or parallax might be appropriate, wants a critique of an existing visualization, or needs guidance grounded in trusted visualization theory and practice. For advanced visual design or page-layout prompts where composition affects understanding, Codex must generate and show both large-screen and mobile portrait image concepts before implementation or text-only design handoff, plus mobile landscape when needed.
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stanfish06 Bundle High Performance Computing SpecialistExpert-thinking profile for High-Performance Computing Specialist (computational / cluster & supercomputing): Reasons from NUMA topology and hybrid MPI+OpenMP+CUDA decomposition through Slurm fairshare/backfill job design, strong/weak scaling (Amdahl/Gustafson), Darshan/mpiP/Nsight profiling, and parallel HDF5/MPI-IO on Lustre while treating I/O storms, collectives bottlenecks, and rank-binding mistakes as first-class failure...
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haoruilee Bundle Find Agent ServiceRead this file to discover agent-native services and purpose-built operator surfaces for live agents. Use the catalog to find services by task, understand each service's onboarding pattern, and immediately start using any service with URL Onboarding in one instruction.
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haoruilee Bundle DocsAgent-Native Services Catalog — URL Onboarding Entry Point
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haoruilee Skill Find Agent Service 2Given a task an AI agent needs to perform, find the right agent-native service from the awesome-agent-native-services catalog. Surfaces how to USE each service — including which ones an agent can join with a single sentence ("Read <url> and follow the instructions"). Use when asked "what service should my agent use for X?"
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haoruilee Skill Evaluate Agent NativeEvaluate catalog candidates against either the standard five agent-native criteria or the narrow operator-surface track, and check URL Onboarding. Use when asked whether a service, harness, HUD, status line, or control surface belongs in the catalog.
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haoruilee Skill Install Agent ServiceUse the Awesome Agent-Native Services catalog as an installation entry point. Given a task or service name, return the exact install/onboarding command for catalog services that expose Agent Skills, Claude Code plugins, URL onboarding, MCP servers, CLIs, or SDKs.
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stanfish06 Bundle Computational Social ScientistExpert-thinking profile for Computational Social Scientist (digital-trace / network science / text-as-data / causal inference (DiD, IV, RDD) / field & survey experiments): Reasons from social mechanisms, measurement validity, and sampling frames through DAGs, fixed-effects and IV/DiD/RDD designs, ERGM/SAOM network models, and human-audited text classifiers while treating unobserved homophily, network interference and SUTVA violations, platform-driven selection, bot contamination, and...
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stanfish06 Bundle Distributed Systems ResearcherExpert-thinking profile for Distributed Systems Researcher (protocol R&D / consensus & replication / consistency semantics / chaos & formal verification (TLA+, Jepsen)): Reasons from failure models, consistency contracts, and tail-latency-and-recovery performance through TLA+ model checking, Jepsen and Porcupine linearizability checking, and YCSB/DeathStarBench benchmarking with iptables and kill -9 fault injection, while treating unbounded leases and split-brain, clock skew under...
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mrmps Skill RAG RerankerRerank retrieved passages by whether each one answers the question, drop the near-misses before they reach the prompt, and check every citation in the answer against the passage it points at. Use after a vector search returns twenty plausible chunks, or when an answer needs its citations verified. Triggers on "rerank these", "which chunks answer this", "check these citations", "my RAG cites the wrong chunk".
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stanfish06 Bundle Building AI Agent On CloudflareBuilds AI agents on Cloudflare using the Agents SDK with state management, real-time WebSockets, scheduled tasks, tool integration, and chat capabilities. Generates production-ready agent code deployed to Workers. Use when: user wants to "build an agent", "AI agent", "chat agent", "stateful agent", mentions "Agents SDK", needs "real-time AI", "WebSocket AI", or asks about agent "state management", "scheduled tasks", or "tool calling". Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
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stanfish06 Bundle Comparative Medicine ResearcherExpert-thinking profile for Comparative Medicine Researcher (clinical / research): Reasons from species biology, translational validity, and the 3Rs through model- validity frameworks, IACUC protocols, ARRIVE 2.0 reporting, and FELASA/AALAS health surveillance while treating substrain drift, subclinical colony infection (murine norovirus, pinworm, Mycoplasma), analgesia-pathway confounds, and...
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sohaibdevv Bundle Chief AI Officer AdvisorChief AI Officer advisory for startups: model build-vs-buy decisions (API vs fine-tune vs in-house), AI risk classification under EU AI Act + US state patchwork, AI cost economics (API-to-self-hosted breakeven), and AI team org evolution. Use when deciding whether to call an API or fine-tune, classifying AI use cases for regulatory risk, calculating when self-hosting pays off, sequencing AI hires, or when user mentions CAIO, AI strategy, model selection, foundation model, fine-tuning, EU AI Act, NIST AI RMF, AI governance, model risk, or AI economics. Strategic only — does not duplicate engineering AI/ML skills.
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mrmps Skill Model And Skill RouterClassify an incoming task by intent, difficulty and risk in three parallel calls to a keyless classifier, then route it to a cheap model, a strong model, a named skill or the user, from a routing table you maintain instead of a prompt. Use when deciding which model or skill should take a request, when someone says "route this", "which model should handle this" or "pick the right skill", or when a queue of tasks should not all get the same treatment.
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mrmps Skill Prompt Injection GuardScreen fetched web pages, tool results, emails and file contents for instructions aimed at the agent before they enter context, using a keyless multi-label classifier over chunks. Use before pasting anything you did not write into your own context, and when someone says "is this page safe to read", "check this tool output", "screen these emails" or "the agent followed something it read".
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mrmps Skill Spec Conformance CheckCheck an artifact against a written spec one requirement at a time. Splits the spec into testable requirements, scores each met, partly met, not met or not applicable with a calibrated confidence, blocks on a confident not-met and sends the unsure rows to a person. Works on a PR description, an agent's answer, a generated test or an RFC. Use on "does this meet the spec", "did it do everything I asked", or a definition-of-done gate in CI.
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mrmps Skill Voice Command Or ChatterDecide whether a speech transcript line is aimed at the assistant or at the other people in the room. Classifies each utterance as command, question, chatter or partial with a calibrated confidence, so an always-on microphone wakes on the two that are addressed to it and stays quiet through the rest. Use when wiring Whisper or any ASR to an agent, building a voice assistant, meeting bot or car interface, or on "it answers things nobody asked it", "false wakes", "it fires halfway through a sentence".
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max-786 Bundle Claude 3d HarnessEntry point for every 3D or Blender task - modeling, materials, lighting, cameras, rendering, animation, product shots, environments, cinematic scenes, exports. Classifies the job (fast, standard or cinematic), picks a workflow, asks the harness registry which library skills to load, then drives Blender through the harness's single Blender MCP server with render, inspect and refine checkpoints. Use it whenever the user asks to create, change, light, render, animate or export anything in 3D, even if they never say "Blender".
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max-786 Bundle BlenderCreate professional 3D designs in Blender via MCP. Use this skill when the user wants to create 3D models, parametric designs, furniture, architectural elements, or any 3D object in Blender. Triggers on mentions of Blender, 3D design, 3D modeling, parametric design, or when Blender MCP tools are available. Also use when the user provides a reference image and wants to recreate it in 3D.
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max-786 Skill Image To 3dConvert a photo into a 3D model using Meshy API and import it into Blender via MCP.
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max-786 Bundle Blender MCPUse Blender MCP when a request depends on inspecting or modifying a live Blender scene, object, node graph, node asset, material, render setup, or open .blend file. Prefer structured Blender MCP tools and safe verification workflows. Do not probe Blender for purely conceptual questions that do not depend on current Blender state.
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max-786 Skill Blender Product PolishImport a 3D model (GLB/GLTF) into Blender and apply a sleek, glossy product-shot finish with studio lighting. Trigger when asked to polish a 3D model, make a Meshy AI model look shiny, apply product lighting in Blender, or prepare a 3D asset for product shots.
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max-786 Bundle Text To BlenderDrive Blender from natural language. Converts plain-English requests ("model a sword and render it with cinematic lighting", "make this glass look frosted", "set up three-point lighting", "export this scene as glTF for the web") into Blender Python code executed via the Blender MCP server. Acts as the orchestrator that picks and chain-loads specialised sub-skills (blender-modeling, blender-materials, blender-lighting, blender-cameras, blender-rendering, blender-animation, blender-export, wireframe-to-3d, blender-pro-workflow, blender-skill-harmonizer, quality-refinement-autoloop). Use this skill whenever the user wants Claude to do anything in Blender, including creating geometry, applying materials, lighting a scene, framing a camera, rendering, animating, or exporting. Make sure to invoke this skill even if the user does not say "Blender" — also covers requests like "create a 3D model of...", "render this...", "make a glTF from...", "set up a scene with...", or any 3D-creation task. Requires the Blender MCP
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max-786 Bundle Wireframe To 3dConvert 2D orthographic wireframe PNG drawings to 3D Blender models exported as glTF/GLB. Use this skill whenever the user provides wireframe images (technical drawings, line drawings, orthographic views, side/front/back panels) and wants to generate a 3D model, mesh, or .glb file. Triggers on phrases like "convert this wireframe to 3D", "make a 3D model from these drawings", "build a model from this wireframe", "generate GLB from these views", or any image-to-3D-mesh request involving line drawings. Make sure to use this skill even if the user does not explicitly say "wireframe" — also covers "orthographic views", "technical drawings", "line drawings of objects", "front and side views". Requires the Blender MCP addon to be running (port 9876) and Python with opencv-python, numpy, scipy installed.
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max-786 Skill Blender ArchSkill avanzata per modellazione 3D in Blender — architettura, oggetti, prodotti, mobili, veicoli. Tecnica professionale: bevel, SubSurf, Boolean, bmesh, Array, Curve, Solidify, smooth shading. Visual loop con MCP connector (porta 9876): esegui → render → analizza → itera.
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max-786 Skill Multi Image To 3dConvert multiple photos (1-4 angles) of the same object into a high-accuracy 3D model using Meshy API and import into Blender.
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max-786 Skill Blender HarnessEntry point for every 3D or Blender task in this repository - modeling, materials, lighting, cameras, rendering, animation, product shots, environments, cinematic scenes, exports. Classifies the job (fast, standard or cinematic), picks a workflow, asks the registry which library skills to load, then drives Blender through the single `blender` MCP server with render, inspect and refine checkpoints. Use it whenever the user asks to create, change, light, render, animate or export anything in 3D, even if they never say "Blender".
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 zoom-virtual-agent-android, reaction-engineering-specialist, programming-languages-researcher. 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.