Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Design and plan iOS animations with structured specs covering transitions, micro-interactions, gesture-driven motion, and loading states. Use when the user asks to plan, design, or spec out animations for an iOS app — including screen transitions, navigation animations, interactive gestures, onboarding flows, or any motion design work. Also use when the user wants animation recommendations or wants to decide between animation approaches before writing code.
Route a Jam (a jam.dev screen recording or screenshot with the console, network and user actions attached) to the right Jam skill. Use when the user shares a jam.dev link with no clear ask ("look at this jam", a bare link), or types /jam. For a clear ask (fix, test, ticket, record, annotate), use that skill directly.
At the end of a batch of agent work (several fixes, a test run, a set of tickets), return one table that ties each claim to the Jam (a jam.dev screen recording with the console and network attached) that shows it, with its status and link, and file those Jams so they can be found later. Use when the user asks "give me the jams", "which jam shows this", "what was the jam I gave you", "show proof for each", or when a run that recorded Jams finishes and the user wants the proof listed.
Turn a narrated Jam (a jam.dev screen recording with the speaker's transcript, console, network and user actions attached) into a numbered list of every change the person asked for, each tied to the moment, the frame and the words it came from, then work through the list. Use when the user pastes a jam.dev link and says "do what I said in this", "consume this jam", "make it look like this", or shares a feedback, walkthrough or reference recording rather than a single bug.
File a Jam (a jam.dev screen recording with the console, network and user actions attached) as an issue in the team's tracker, such as Linear, GitHub Issues or Jira, with the link, repro steps, the key frame and the errors, after checking it was not filed already. Use when the user says "make a ticket for this jam", "file this jam as a bug", "put this jam in Linear", "open an issue for this recording", or asks whether a Jam was ever ticketed.
Genre pack: wabi-sabi minimalism — rice paper, sumi ink, one seal-red accent, a Japanese mincho serif, negative space as the design, one vertical text element allowed. Calm, deliberate, quiet-luxury's unpolished cousin. Use for studios, tea/food brands, wellness, personal sites, and any brief wanting meditative restraint. Stack on the design-taste core skill.
Browse, group, relate, and selectively install the jeo-skills catalog through the lightweight `jeo-skill` CLI. Use when the user wants skills organized by web, infrastructure, game, creative media, CLI tools, AI/agents, engineering, research, business, or utilities; needs a frontend/backend/game-audio/game-VFX subcategory; wants overlapping skills connected instead of duplicated; or wants a category, bundle, or named skills installed without copying the full repository.
Apache Kafka messaging skill. Covers producer acks=all/1/0 selection, idempotence (enable.idempotence + acks=all) configuration, manual consumer offset commit (enable.auto.commit=false), DLT dead-letter handling (@RetryableTopic/@DltHandler), @KafkaListener + error handler (DefaultErrorHandler), ordered messages (same Key to the same partition), and transactional messages. Corrects LLMs that: get message loss with acks=0, miss messages with auto.commit, ignore duplicate consumption, and skip DLT configuration.
Design a cross-channel product messaging system that drives activation, engagement, and retention while controlling fatigue. Use when planning lifecycle messaging, auditing notification strategy, prioritizing workflows, or turning product moments into Knock workflows, guides, preferences, and measurement.
Add a new book to the mmontes11/knowledge-base `books/` section: create the book-shaped entry (entry README, one numbered file per chapter, the source PDF), summarize each chapter faithfully and attribute it, add mermaid diagrams where they clarify a mechanism, and register the book in the root README's Tracked books table. Use whenever the user wants to add, create, or import a book into the knowledge base — "add this book to the knowledge base", "summarize <book> for the KB", "create a books/ entry for <title>", "work through chapter N of <book>" — even if they don't say "knowledge base" explicitly.
Reserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.
Use when working with LaminDB, the open-source lineage-native lakehouse for biological datasets and models. Covers setup, artifact registration, query/search, lineage tracking, validation, ontology-backed annotation with Bionty, collections, branches, storage, and workflow integrations.
Lazyweb is the design-evidence skill for AI coding agents. Use it when designing, critiquing, or changing product UI — it provides real app screenshots, competitor references, best practices, quick examples, creative cross-category ideas, paywall optimization guidance, and mobile growth + monetization A/B test context. Routes to the right Lazyweb mode (design workflow, quick search, update, flowchart, or A/B test research) using MCP tools and the Lazyweb server at https://www.lazyweb.com/mcp. Use before designing any screen when you need design evidence instead of training-data vibes.
Design a lead magnet — the free offer that trades real value for an email address — by picking the right problem slice, hook, and format, validating it, and drafting the asset. Use when the user says 'grow my email list', 'I need a lead magnet / freebie / opt-in', 'create a free download', 'how do I capture leads', 'nobody signs up', or when a funnel needs an entry offer before the paid ask. Produces a Lead Magnet Spec (title, hook, format, contents outline, delivery, follow-up path) plus a draft of the asset itself when the format allows.
Learn about Moralis and Web3 development. Invoked without a question, gives a friendly platform walkthrough — what's available, what data you can fetch, and how everything fits together. Invoked with a question, answers it directly. Use for "what is Moralis", "can Moralis do X", "what chains are supported", "how do I get started", "which API should I use", pricing, feature comparisons, or any exploratory questions. Routes to the correct technical skill (@moralis-data-api or @moralis-streams-api) after answering.
Load automatically when user asks to learn Astro framework development (e.g., "teach me how to build with Astro", "guide me through Astro", "I want to learn Astro", "quiero aprender Astro", "how do I get started with Astro"). Interactive guided tutorial where Claude acts as a co-pilot, guiding the user through building a real personal blog with Astro step-by-step. Trigger this skill whenever the user expresses interest in learning Astro from scratch, even if they don't say "tutorial" explicitly.
Guides fine-tuning of large language models with LLaMA-Factory, covering the WebUI no-code interface, training across 100+ supported models, quantized QLoRA at 2/3/4/5/6/8-bit precision, and multimodal model support. Use when setting up or configuring a LLaMA-Factory fine-tuning run, choosing a quantization level for QLoRA training, using the WebUI instead of writing training code, fine-tuning a multimodal model, or debugging a LLaMA-Factory training error. Not for general-purpose inference serving or for other training frameworks; use the matching skill for those.
Convert PDF files to a single vertically concatenated PNG image using macOS native CoreGraphics. Each page is rendered at 2x scale and stitched top-to-bottom. ~20x faster than pdftoppm+ImageMagick, zero external dependencies on macOS. Trigger when the user mentions "pdf to png", "pdf转png", "PDF转图片", "pdf拼接", "pdf截图", "convert pdf to image", or wants to turn a multi-page PDF into one long PNG.
Crawl and export WeChat official account articles. Automatically handles login state acquisition and renewal for mp.weixin.qq.com, and supports searching by official account, crawling article lists and bodies, and exporting to Markdown / JSON / CSV by date window. Trigger when the user wants to crawl a WeChat public account, export recent articles, or mentions "wcx", "微信公众号", "公众号文章", "mp.weixin", "抓公众号", "crawl wechat official account", "wxmp", "最近十天的文章".
Explains how to use Mamba selective state-space models (state-spaces/mamba package, Mamba-1 with d_state=16 and Mamba-2 with multi-head structure and d_state=128) for linear-time sequence modeling. Covers installation, the Mamba block, building a language model with MambaLMHeadModel, loading pretrained state-spaces checkpoints (130M to 2.8B) from HuggingFace, and benchmarking against Transformers. Use when implementing or loading Mamba models, processing very long sequences without a KV cache, building streaming applications, choosing between Mamba-1 and Mamba-2, or fixing install and CUDA memory problems. Requires Linux and an NVIDIA GPU. Do not use for standard Transformer models, or for RWKV, RetNet, or Hyena architectures.
Cascade PCB components, add lumped elements, export Touchstone, and bridge to eye diagram or antenna array workflows. TRIGGER: user asks to cascade or connect multiple RF PCB components, add lumped R/L/C, export S-parameters to Touchstone, or combine PCB elements into a circuit. Invoke BEFORE writing pcbcascade or circuit code — cascade rules and port matching are non-obvious. SKIP: designing individual components (use the specific matlab-design-pcb-* skill), EM analysis of a single component (use matlab-analyze-em), material/stackup setup only (use matlab-manage-pcb-material), optimization (use matlab-optimize-pcb-design).
Expert guidance for .NET MAUI Blazor Hybrid development combining native mobile/desktop apps with Blazor web UI. Use when working with: (1) .NET MAUI Blazor Hybrid apps, (2) BlazorWebView components, (3) Cross-platform apps sharing Blazor UI, (4) Platform integration in Blazor Hybrid, (5) MVVM with Blazor components, (6) Navigation between MAUI pages and Razor components, (7) Shared Razor Class Libraries (RCL) for MAUI and Web. Applies to any .NET MAUI project using Blazor for UI.
Mise development environment manager (asdf + direnv + make replacement). Capabilities: tool version management (node, python, go, ruby, rust), environment variables, task runners, project-local configs. Actions: install, manage, configure, run tools/tasks with mise. Keywords: mise, mise.toml, tool version, runtime version, node, python, go, ruby, rust, asdf, direnv, task runner, environment variables, version manager, .tool-versions, mise install, mise use, mise run, mise tasks, project config, global config. Use when: installing runtime versions, managing tool versions, setting up dev environments, creating task runners, replacing asdf/direnv/make, configuring project-local tools.
Return public original model architecture diagrams for user-specified LLM, VLM, MoE, diffusion, OCR, and SGLang/sgl-cookbook model families. Use when the user asks for a model structure chart, architecture diagram, or rendered image link for a specific model such as DeepSeek, GLM, Qwen, Kimi, MiniMax, Step, Hunyuan, or Qwen3-VL.
A skill for design decisions on feature boundaries, separation of responsibilities, module division, and abstraction. Use when deciding where to draw boundaries, how to separate responsibilities, whether an abstraction is appropriate, or when you want to revisit responsibility placement. Not for simple CRUD additions, diff reviews, or API surface design. Use refactor-mindset for general refactoring decisions, and this skill when boundary drawing and responsibility placement are the subject.
Wizard that scaffolds a complete Mercado Pago integration from official and bundled sources, using MCP only for selected account actions or documentation gaps. Use whenever the developer wants to add or migrate a Mercado Pago payment flow.
Pipeline skill for multi-omics data processing and integration. Use when the user asks to map gene IDs between HGNC Ensembl and UniProt, convert between omic data formats, run batch correction with ComBat or ComBat-seq, perform GSEA or over-representation analysis on multi-omic results, run consensus clustering on integrated data, execute MOFA2 in R or mofapy2 in Python, build a multi-omics ETL pipeline, harmonize feature identifiers across omics layers, or run clusterProfiler enrichment. Triggers include "map Ensembl to HGNC", "ID mapping omics", "ComBat code", "run MOFA2", "mofapy2", "GSEA Python", "fgsea R", "consensus clustering", "multi-omics pipeline", "gseapy", "biomaRt", "clusterProfiler", "mixOmics DIABLO".
Adds runtime safety rails to LLM applications with NVIDIA NeMo Guardrails, configured through Colang 2.0 flows. Covers jailbreak and prompt-injection detection, self-check input/output validation, retrieval-based fact-checking, hallucination detection, PII filtering via Presidio, toxicity detection via ActiveFence, and LlamaGuard integration. Use when adding programmable safety rules to a production LLM app, blocking jailbreaks or prompt injection, filtering PII from model inputs and outputs, verifying generated claims against retrieved sources, or tuning false positives and latency of guardrail checks. For standalone moderation only, use LlamaGuard or the OpenAI Moderation API instead.
New to MCP?
From what the protocol is to installing your first server, these answers cover most first questions.
An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.