Skills
99,951 packaged capabilities and playbooks for agents. Install any of them with one command.
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Port a Cypress test suite to CodeceptJS 4. Trigger when the project contains `cypress.config.{js,ts,mjs}`, a `cypress/` directory (`cypress/e2e/`, `cypress/support/{commands,e2e}.*`, `cypress/fixtures/`), `cypress` in `devDependencies`, or test code calling `cy.*` (`cy.visit`, `cy.get`, `cy.contains`, `cy.session`, `cy.intercept`, `cy.request`, `cy.task`, `cy.fixture`, `cy.origin`, `cy.mount`), `Cypress.Commands.add(...)`, or `Cypress.env(...)`.
Japanese style guide and AI-tone rubric for mizchi-authored blog posts (zenn / dev.to), calibrated on 18 articles / 937 sentences / 766 paragraphs. Scores a draft structure-first — paragraph granularity, heading form, code cadence, closing move — because marker rates (口語・文末・自分) can be hit exactly while the text still reads as pastiche. Use after drafting an article during the style-matching revision loop.
This skill should be used when the user asks to evaluate, validate, compare, explain, or debug model performance. PROACTIVELY activate for: (1) metrics selection for classification, regression, ranking, NLP, CV, recommender, forecasting, and generative AI, (2) train/validation/test splits, cross-validation, grouped or time-series validation, (3) confusion matrices, ROC/PR curves, calibration, thresholds, error analysis, (4) ablation studies, statistical significance, confidence intervals, bootstrap tests, (5) bias, fairness, explainability, robustness, leakage detection. Provides: rigorous evaluation methodology and production-readiness checks.
This skill should be used when the user asks to tune hyperparameters, run sweeps, optimize search spaces, or use AutoML. PROACTIVELY activate for: (1) Optuna, Ray Tune, FLAML, AutoGluon, Hyperopt, Nevergrad, KerasTuner, W&B sweeps, (2) grid search, random search, Bayesian optimization, TPE, Gaussian processes, evolutionary search, (3) ASHA, Hyperband, successive halving, multi-fidelity optimization, population-based training, (4) learning-rate finder, batch-size search, early stopping, pruning, (5) reproducible sweep design and experiment analysis. Provides: budget-aware hyperparameter search strategy.
This skill should be used when the user asks to train, debug, scale, or improve ML models. PROACTIVELY activate for: (1) PyTorch, TensorFlow/Keras, JAX, Flax, Hugging Face Trainer/Accelerate training loops, (2) distributed training, DDP/FSDP/DeepSpeed, TPU/GPU setup, (3) mixed precision AMP/bf16, gradient accumulation, checkpointing, seeding, (4) overfitting, imbalance, loss functions, regularization, LR schedules, warmup, (5) memory optimization, gradient checkpointing, offloading, quantization-aware training. Provides: reproducible training best practices across deep learning and classical ML.
Expertise in MLIR (Multi-Level Intermediate Representation) and CIR (Clang IR) development for domain-specific compilation and high-level optimizations. Use this skill when building ML compilers, domain-specific languages, or working with multi-level compilation pipelines.
Authoritative guidance for modern React 19+ (Actions, use, Compiler, View Transitions, Fragment refs, Activity, browser, useEffectEvent). Use when writing, reviewing, refactoring, or migrating React components, forms, data fetching, concurrent UI, or upgrading to React 19+. Triggers on React, React 19, useActionState, useOptimistic, forwardRef, useEffect data fetch, React Compiler, ViewTransition, Suspense patterns, or codemods. Always prefer latest official patterns over training data.
Paid advertising automation for Google Ads, Meta Ads, and other ad platforms. Creates campaigns, optimizes budgets, manages keywords, writes ad copy, and tracks ROAS. Leverages third-party ad management skills when available. Use when the user needs ad campaigns, PPC, SEM, paid traffic, or says 'run ads', 'Google Ads', 'Meta Ads', 'Facebook Ads', 'ad campaign', 'PPC', 'ROAS', or 'paid traffic'.
Build the actual product — from landing page to deployed MVP with payment integration, QA testing, and post-deploy canary monitoring. Handles code generation, deployment, database setup, authentication, Stripe/payment integration, systematic QA protocol, and production health scoring. Use when the user needs to build something, deploy a product, set up payments, create a landing page, or says 'build this', 'deploy', 'create MVP', 'set up payments', or 'ship it'.
Social media management and community building automation. Creates content calendars, drafts posts, manages engagement, and builds audience across X/Twitter, LinkedIn, Reddit, Product Hunt, and other platforms. Use when the user needs social media strategy, content scheduling, community building, or says 'social media', 'tweet', 'LinkedIn post', 'Reddit', 'Product Hunt launch', or 'build audience'.
Build interface motion that would pass a strict review. Decides whether something should animate at all, names its purpose, picks the cheapest tool, the right properties, the curve, the duration or spring, the origin, how it interrupts and how it exits, then writes the implementation with reduced-motion built in. Use when asked to animate, add motion, add a transition, make something feel alive, or when building any component that enters, exits, moves or changes state. For scroll-driven and WebGL work use scroll-and-webgl.
CommunityToolkit.Mvvm Messenger pub/sub for decoupled communication between ViewModels (or any objects). Covers WeakReferenceMessenger vs StrongReferenceMessenger, IRecipient<TMessage>, RequestMessage<T> / AsyncRequestMessage<T> / CollectionRequestMessage<T>, ValueChangedMessage<T>, channels (tokens), and the ObservableRecipient activation lifecycle. Use across WPF, WinUI 3, .NET MAUI, Uno, and Avalonia.
Proven workflow architectural patterns from real n8n workflows. Use when building new workflows, designing workflow structure, choosing workflow patterns, planning workflow architecture, or asking about webhook processing, HTTP API integration, database operations, AI agent workflows, or scheduled tasks.
Check product and brand names for conflicts across trademarks, domains, social media handles, and package registries (npm, PyPI, Homebrew, apt). Delivers a risk assessment and actionable Proceed, Modify, or Abandon recommendation. Don't use for brainstorming name ideas from scratch, logo design, or filing/registering a trademark.
Generate images with Google Gemini 3.1 Flash Image Preview (Nano Banana 2) via inference.sh CLI. Capabilities: text-to-image, image editing, multi-image input (up to 14 images), Google Search grounding. Triggers: nano banana 2, nanobanana 2, gemini 3.1 flash image, gemini 3 1 flash image preview, google image generation
Generate and edit high-quality AI images using Google's Gemini image models (Nano Banana series) via MCP. Use when user wants to create images, edit photos, generate graphics, or needs visual content with text rendering. Supports gemini-3.1-flash-image-preview (Nano Banana 2) and gemini-2.5-flash-image-preview (Nano Banana).
Build production-ready Node.js backend services with Express/Fastify, implementing middleware patterns, error handling, authentication, database integration, and API design best practices. Use when creating Node.js servers, REST APIs, GraphQL backends, or microservices architectures.
Node.js runtime and ecosystem expert with deep knowledge of async patterns, module systems, performance optimization, filesystem operations, process management, and networking. Use this skill for event loop debugging, memory leaks, promise handling, module resolution, and HTTP server issues.
Use when an idea needs disciplined exploration before building: generate options, test whether it is worth building, map adjacent solutions, challenge assumptions, narrow scope, or choose Build RFC / Prototype / Narrow / Park — even if nobody said brainstorm. Already decided to implement a specific plan → skip.
Use when Viktor wants to invent offers FAST for an IT-agency client and test them with outbound. From a client website URL, generates 5–10 testable offer-bets (ICP × pain × mechanism), scores them, and expands the winners into outbound-ready cards with built-in test design. Trigger when the user says “придумай офери для клієнта,” “що продавати цій агенції,” “офери під аутбаунд,” “build offers from this URL,” “offer factory,” “розроби офер для [клієнт],” or pastes an agency URL and asks what to sell/test. NOT for choosing WHO+WHICH-SIGNAL to target (use hypothesis-builder / hypo-generator for that) — this skill is about the OFFER itself.
Full-featured Microsoft Office support. Use when Claude needs to: (1) work with Excel spreadsheets (.xlsx) — formulas, formatting, data analysis; (2) create/edit PowerPoint presentations (.pptx); (3) work with PDF documents (.pdf) — extraction, merging, form filling; (4) work with Word documents (.docx) — editing, revision tracking, comments.
A professional guide to writing official Party and government documents. Use when the user needs to draft, revise, or review official Party and government documents (such as requests for instructions, notices, letters, summaries, and minutes). Provides guidance on the GB/T 9704-2012 format standard, common document templates, language usage recommendations, and document quality checks. Applies to the following scenarios: (1) drafting a new document, (2) revising and improving a document, (3) checking document format compliance, (4) providing document writing guidance, (5) reviewing document quality.
Deep code audit skill for OpenHarmony/Chromium - focused on thread safety, lifetime management and logic flaws. Based on rigorous systems-level programming experience, deeply reviews C/C++ source code for: - thread safety issues (data races, deadlocks, cross-sequence access) - lifetime issues (UAF, dangling pointers, WeakPtr misuse) - OpenHarmony/Chromium-specific pattern risks - high-order security risks that static analysis tools cannot find. Core features: - extremely rigorous review style - follows 14 strict user-defined rules - generates structured JSON and Markdown reports - divides issues by team ownership
Build and validate Open Design handoffs from the real Darkbone Archer runtime — game UI (upgrade-only preservation contracts) AND VFX/skill/RIG design packages. Use whenever Codex must prepare, regenerate, or audit an Open Design handoff; feed an existing Claude Design handoff zip into Open Design; collect current screenshots, animation videos, keyframes, source anchors, assets, responsive states, or preservation boundaries; or prevent a standalone concept from deleting existing identity, motion, interaction, copy, or data that it does not show.
Build money-movement and fintech products on Polygon's Open Money Stack (OMS) API: neobanks, custodial wallets, remittance, on-ramps and off-ramps, stablecoin payments, and cash-in/cash-out. Use this whenever a developer wants to build, design, scope, or plan a financial product on Polygon, mentions the OMS API, asks how to authenticate or onboard with Polygon payments, says "build me a neobank" (or a remittance app, payments app, wallet, on-ramp, or off-ramp), or needs an implementation plan that maps their use case to real Polygon endpoints. The skill walks the developer through authentication, asks a few discovery questions, and produces an endpoint-grounded implementation plan that clearly separates what is callable today from what is early access.
Detailed Open WebUI guide: architecture, authentication, functions, pipelines, API, RAG, scaling, debugging and hidden features. Use for any Open WebUI question — how it works, how to deploy it, configure auth (OAuth, LDAP, JWT), write a function or pipeline, connect a model (Ollama, OpenAI), set up RAG/knowledge bases, scale to production, debug a problem. Also use when writing code for Open WebUI: functions (filter, pipe, action), pipelines, configs, docker-compose. Triggers (RU): веб-интерфейс, чат, база знаний, модель.
Build agentic AI applications with OpenAI's Responses API - the stateful successor to Chat Completions. Preserves reasoning across turns for 5% better multi-turn performance and 40-80% improved cache utilization. Use when: building AI agents with persistent reasoning, integrating MCP servers for external tools, using built-in Code Interpreter/File Search/Web Search, managing stateful conversations, implementing background processing for long tasks, or migrating from Chat Completions to gain polymorphic outputs and server-side tools.
Application-level OpenChoreo work via the control-plane MCP server — deploying services, configuring workloads, consuming managed-infrastructure Resources, promoting releases, managing secret references, inspecting runtime. Use when the user says 'deploy my service', 'add a component', 'rebuild from source', 'use a database', 'promote to staging', 'rollback', 'run a second version side by side', or 'why is my pod crashing'
Platform-level OpenChoreo work via the control-plane MCP server (plus `kubectl` and Helm) — authoring ProjectTypes / ComponentTypes / ResourceTypes / Traits / Workflows, creating Environments and DeploymentPipelines, registering Planes, configuring secret stores and authorization. Use when the user says 'set up a new environment', 'create a deployment pipeline', 'add a ProjectType', 'add a ComponentType', 'add a ResourceType', 'register a data plane', 'configure auth', or 'install OpenChoreo'.
Install, configure and verify the @tencentdb-agent-memory/memory-tencentdb plugin in an OpenClaw environment. Trigger when the user mentions "install memory plugin", "configure memory-tencentdb", "enable long-term memory/recall", or when related errors appear.
Operate, configure, and debug a running OpenClaw installation from a host machine (locally or over SSH). Covers the whole runtime surface **except** building agent personalities/workspaces — channels, gateway, daemon/service, config (`openclaw.json`), models + auth, cron, hooks, plugins, sandbox, sessions, security audit, doctor, reset, uninstall. This skill MUST be invoked on any mention of `openclaw` CLI commands, `~/.openclaw`, `openclaw.json`, "restart gateway", "add a channel", "check why my bot isn't responding", "openclaw doctor", "channels status", "ssh into the OpenClaw box", and similar — also whenever a host has `~/.openclaw/openclaw.json` and OpenClaw work is implied even if not named. MUST hand off to **openclaw-agent-builder** for any work that creates or edits an agent's workspace files (SOUL.md / AGENTS.md / IDENTITY.md / USER.md / RAG knowledge / `agents.list[]` entries / `bindings[]`).
Unified security suite for agent workspaces. Installs, configures, and orchestrates all 11 OpenClaw security tools in one command — integrity, secrets, permissions, network, audit trail, signing, supply chain, credentials, injection defense, compliance, and incident response.
This skill should be used when the user asks to "optimize images", "compress images", "reduce image file size", "make images smaller", "optimize PNGs", "optimize JPEGs", "speed up website images", "reduce bundle size images", or needs help with image compression for web projects. Provides workflows and scripts for batch image optimization using sharp.
Audit and safely improve Shopify image alt text for product media, collection images, article featured images, and article inline images. Use when a merchant wants image-specific alt text review, batch planning, required visual inspection, or approved Shopify alt text updates.
Meta-skill for auditing and rewriting SKILL.md `description` fields per the agentskills.io optimizing-descriptions framework, layered with mizchi's two-track trigger policy (Meta = explicit-invoke-only, Project = pushy auto-trigger). Invoke ONLY when the user explicitly asks to "optimize a skill description," "audit descriptions," or "rewrite descriptions per agentskills." Do NOT auto-invoke after every SKILL.md edit; description tuning is a deliberate batch, not a per-edit reflex.
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.