Skills
97,905 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Comprehensive guide for electron-builder (v26.x) packaging, code signing, auto-updates, and release workflows. Use when: (1) configuring electron-builder builds (electron-builder.yml or config.js/ts), (2) setting up macOS/Windows code signing or notarization, (3) implementing auto-updates with electron-updater, (4) publishing to GitHub Releases, S3, or generic servers, (5) configuring platform targets (NSIS, DMG, AppImage, Snap, PKG, MSI), (6) working with build hooks (beforePack, afterSign, afterAllArtifactBuild), or (7) using the programmatic API. Triggers on: electron-builder, electron-updater, code signing, notarize, NSIS, DMG, AppImage, auto-update, publish releases, build hooks, electron packaging, electron distribution.
Use when the user wants to migrate code that calls OpenAI, Gemini/Google AI, or the Anthropic API to Amazon Bedrock—a model/SDK rewrite only. End to end, it assesses the codebase, rewrites SDK calls, evaluates output quality against Bedrock, and delivers a ready-to-merge git branch. Also offers an access-only mode to check or enable Bedrock access for specific models (e.g., “request access to Claude on Bedrock” or “which models do I turn on”), with no code migration. It checks each model, guides the user through the appropriate access step, then stops. Not for agent runtime selection or agent migration planning (use agent-advisor), standalone cost estimates, or infrastructure-only migration. Full migration requires gcp-to-aws or azure-to-aws installed alongside this skill (gcp-to-aws is preferred if both are present); access-only mode needs neither.
Provides domain-specific best practices for Node.js development with TypeScript, covering type stripping, async patterns, error handling, streams, modules, testing, performance, caching, logging, and more. Use when setting up Node.js projects with native TypeScript support, configuring type stripping (--experimental-strip-types), writing Node 22+ TypeScript without a build step, or when the user mentions 'native TypeScript in Node', 'strip types', 'Node 22 TypeScript', '.ts files without compilation', 'ts-node alternative', or needs guidance on error handling, graceful shutdown, flaky tests, profiling, or environment configuration in Node.js. Helps configure tsconfig.json for type stripping, set up package.json scripts, handle module resolution and import extensions, and apply robust patterns across the full Node.js stack.
Package entire code repositories into single AI-friendly files using Repomix. Capabilities include pack codebases with customizable include/exclude patterns, generate multiple output formats (XML, Markdown, plain text), preserve file structure and context, optimize for AI consumption with token counting, filter by file types and directories, add custom headers and summaries. Use when packaging codebases for AI analysis, creating repository snapshots for LLM context, analyzing third-party libraries, preparing for security audits, generating documentation context, or evaluating unfamiliar codebases.
Saleor Configurator patterns for managing store configuration as code. Use when writing config.yml, running deploy/introspect/diff commands, understanding entity identification (slug vs name), deployment pipeline order, or debugging sync issues.
three.js scene graph objects: Object3D transforms and hierarchy, Group, Mesh, InstancedMesh, SkinnedMesh, BatchedMesh, LOD, Line/LineLoop/LineSegments, Points, Sprite, Bone, Skeleton, ClippingGroup; interaction via Raycaster, Layers masks, and EventDispatcher patterns. Merges the former interaction scope—use for picking and layers; for pure vector math without scene graph use threejs-math; for playing skeletal clips use threejs-animation; for frustum culling internals see camera docs.
Understand and customize the local Trellis architecture inside a user project. Use when modifying .trellis plus platform hooks, settings, agents, skills, commands, prompts, workflows, the channel runtime (trellis channel), bundled runtime agents under .trellis/agents/, selectable workflow templates, registry-backed spec refresh, cross-session memory (trellis mem) generated by trellis init, or AI-facing bundled skills (trellis-channel, trellis-session-insight, trellis-spec-bootstrap) and bundled-skill auto-dispatch flow.
This skill should be used when a system design needs a diagram — "draw the architecture", "diagram this system", "show the components", "make an architecture/infrastructure/topology diagram", or visualizing boxes-and-arrows, data flow, regions, or failure paths for a design. It generates a self-contained dark-theme HTML + SVG diagram (with PNG/PDF export). Use it whenever the `system-design` orchestrator or a building block reaches the "draw it" step, even if the user doesn't say "diagram".
Generate Arduino and embedded C++ snippets for sensors, actuators, buses, state machines, timing, data logging, and hardware abstraction. Use when a user requests implementation code and provide the exact board, framework, toolchain, pins, voltage, memory, and library versions first. Bundled templates target UNO, ESP32, and RP2040; document unsupported board or vendor-framework behavior instead of guessing.
Implement VoIP calling with CallKit and PushKit. Use when building incoming/outgoing call flows, registering for VoIP push notifications, configuring CXProvider and CXCallController, handling call actions, coordinating audio sessions, or creating Call Directory extensions for caller ID and call blocking.
Clean Code principles (DRY, KISS, YAGNI), naming, function design and readability. Use when code is hard to read, with long methods, unclear names, duplication or deep nesting. For how responsibilities are split across classes and which way dependencies point, use solid-principles instead
Authors Apache Airflow DAGs declaratively from dag-factory YAML configs. Use when building DAGs declaratively from YAML via dag-factory; creating/editing dag-factory templates/YAML configs,reating/editing dag-factory YAML configs, defaults, dynamic tasks, datasets, or callbacks; or validating dag-factory configurations; upgrading or re-pinning dag-factory.
Integrate Firecrawl `/search` into product code and agent workflows. Use when an app needs discovery before extraction, when the feature starts with a query instead of a URL, or when the system should search the web and optionally hydrate result content.
Add Apple Pencil drawing, canvas views, tool pickers, and ink serialization using PencilKit. Use when building drawing apps, annotation features, handwriting capture, signature fields, or any Apple Pencil-powered experience on iOS/iPadOS/visionOS.
Query Stream data and run CLI operations against Chat, Video, Feeds, and Moderation: list channels, list calls, show flagged messages, find users, query any Stream resource. Run stream api / stream config / stream auth commands. Install the Stream CLI binary. Use when the user gives operational verbs ('list', 'show', 'find', 'check', 'query') with Stream nouns, or invokes the CLI literally.
Vue Material Component Framework. Use when writing, debugging, or configuring code that imports vuetify v4.x. Covers createVuetify setup, components and labs, composables, theming, icons, dates and locale, styles and SASS variables, treeshaking, and v3 to v4 migration.
Use when you need to review, improve, or refactor Java code for type design quality — including establishing clear type hierarchies, applying consistent naming conventions, eliminating primitive obsession with domain-specific value objects, leveraging generic type parameters, creating type-safe wrappers, designing fluent interfaces, ensuring precision-appropriate numeric types (BigDecimal for financial calculations), and improving type contrast through interfaces and method signature alignment. This should trigger for requests such as Review Java code for type design; Improve type design in Java code; Fix primitive obsession in Java code; Create value objects in Java code. Part of Plinth Toolkit
Claude Code Bash tool patterns with hooks, automation, git workflows. Use for PreToolUse hooks, command chaining, CLI orchestration, custom commands, or encountering bash permissions, command failures, security guards, hook configurations.
Integrate Firecrawl `/scrape` into product code for single-page extraction. Use when an app already has a URL and needs markdown, HTML, links, screenshots, metadata, or structured page output. Prefer this skill over broader crawl patterns when the feature is page-level.
Create Framer Code Components and Code Overrides. Use before writing or editing any `.tsx` for Framer, including when deciding whether a feature needs code at all. Covers building custom React components for Framer, writing Code Overrides (HOCs) to modify canvas elements, implementing property controls, using Framer Motion animations, handling WebGL/shaders in Framer, and debugging Framer-specific issues such as hydration errors and font handling.
Expert patterns for AnimationPlayer including track types (Value, Method, Audio, Bezier), root motion extraction, animation callbacks, procedural animation generation, call mode optimization, and RESET tracks. Use for timeline-based animations, cutscenes, or UI transitions. Trigger keywords: AnimationPlayer, Animation, track_insert_key, root_motion, animation_finished, RESET_track, call_mode, animation_set_next, queue, blend_times.
Control smart-home accessories and commission Matter devices using HomeKit and MatterSupport. Use when managing homes, rooms, and accessories; creating action sets or triggers; reading accessory characteristics; onboarding Matter devices; or building a third-party smart-home ecosystem app.
Structured logging with proper levels, context, PII handling, and centralized aggregation. Use for application logging, log management integration, distributed tracing, or when encountering log bloat, PII exposure, or missing-context errors.
Implement the Syncfusion Blazor Chart (SfChart) component for comprehensive data visualization. Use this when creating line charts, bar/column charts, area charts, financial charts, or statistical visualizations. This skill covers 30+ chart types, including scatter plots, bubble charts, candlestick charts, and specialized charts like waterfall, histogram, and polar charts for Blazor applications.
This skill should be used when the user asks to "design a system", "design <a product>" (e.g. "design WhatsApp", "design a URL shortener", "design a news feed"), "high-level architecture for…", "how would you architect…", "system design interview", or wants to scope, diagram, and justify a backend/distributed-system design. It runs a reasoning loop — clarify, estimate, design, weigh trade-offs, stress-test, iterate — and routes to focused building-block skills. Use it whenever a request is an open-ended design problem, even if the user doesn't say "system design".
Use when investigating or improving WordPress performance (backend-only agent): profiling and measurement (WP-CLI profile/doctor, Server-Timing, Query Monitor via REST headers), database/query optimization, autoloaded options, object caching, cron, HTTP API calls, and safe verification.
Startup-tailored AWS architecture advice for non-agent workloads, adjusted to the company's stage (pre-revenue through Series B+), team size, runway, and credits. Not for AI agents: deploying an AI agent on AWS, picking its runtime, or any agentic architecture is agent-advisor. Use when a founder wants guidance or a recommendation rather than code changes: which services to choose, how to plan or review an architecture, how to stretch credits and control cost, or how to prepare architecture for a fundraise or technical diligence. For an interactive discovery flow that scaffolds and writes the architecture into the codebase, use start-building-for-startups. Do not use for: writing or scaffolding code, factual AWS Activate / programs / credits lookups (see knowledge-base-for-startups), a single copy-paste prompt (see prompt-library-for-startups), or migration intent such as GCP-to-AWS, Azure-to-AWS, or Heroku-to-AWS (see the migration skills: `gcp-to-aws`, `azure-to-aws`, `heroku-to-aws`, `llm-to-bedrock`).
Comprehensive Contentful REST API guide. Covers Content Management API (CMA) for creating/updating content, Content Delivery API (CDA) for fetching published content, Preview API, Images API, and GraphQL API. All examples use curl/HTTP — language-agnostic.
Ethereum development tutor and builder for Scaffold-ETH 2 projects. Triggers on "build", "create", "dApp", "smart contract", "Solidity", "DeFi", "Ethereum", "web3", or any blockchain development task. ALWAYS uses fork mode to test against real protocol state.
Factorial Code platform architecture and core concepts — processes, modules, execution context, variables, inheritance from parent workspaces, datastore, file storage, workspace structure, and naming conventions. Use when building, editing, or reasoning about any Factorial Code (fcode) process, module, or workspace; start here before writing process or module code.
Embed a Factorial Code process's input-parameter form on a webpage — embed methods, version pinning to the stable alias, what a public form means for the process behind it, driving behavior from the process return value, styling and themes, multi-step flows, and file uploads. Use when embedding, configuring, styling, or wiring up a Factorial Code (fcode) form.
Get Firecrawl credentials and SDK setup into a project. Use when an application needs `FIRECRAWL_API_KEY`, when an agent should add Firecrawl to `.env`, when the user wants to authenticate Firecrawl for app code, or when choosing the first SDK and docs for a new Firecrawl integration. This skill includes its own browser auth flow, so it does not depend on the website onboarding skill.
React Router performance and architecture patterns. Use when writing loaders, actions, forms, routes, or working with React Router data fetching. Triggers on tasks involving React Router routes, data loading, form handling, or route organization.
Build, fix and review character combat animations (melee strikes, bow shots, spell casts, skills, monster attacks, whole move sets) so they read like Diablo IV, Baldur's Gate 3 or Elden Ring and never stretch, lock, wring or break an arm, wrist or hand. A written standard with numbered rules, per-frame tests on the real skinned mesh, keys designed from upper-arm, forearm and blade intents, checks from every camera the player sees, two blind critics plus a blind A/B against the last release, and every critic claim verified against full-resolution frames and live-rig numbers. Use when creating or reworking any attack, skill or move set; when the user says arms, hands, wrists, elbows or weapons look stretched, weird, broken or wrong; when they ask for a standard, rules or tests for animations; or when they ask to score animations or get them to N out of 10.
Expert blueprint for roguelikes including procedural generation (Walker method, BSP rooms), permadeath with meta-progression (unlock persistence), run state vs meta state separation, seeded RNG (shareable runs), loot/relic systems (hook-based modifiers), and difficulty scaling (floor-based progression). Use for dungeon crawlers, action roguelikes, or roguelites. Trigger keywords: roguelike, procedural_generation, permadeath, meta_progression, seeded_RNG, relic_system, run_state.
Use this skill when the user asks to “add MCP server”, “integrate MCP”, “configure MCP in plugin”, “use .mcp.json”, “set up Model Context Protocol”, “connect external service”, mentions “${CLAUDE_PLUGIN_ROOT} with MCP”, or discusses MCP server types (SSE, stdio, HTTP, WebSocket). Provides comprehensive guidance for integrating Model Context Protocol servers into Claude Code plugins for external tool and service integration.
Expert in launching small, focused SaaS products fast - the indie hacker approach to building profitable software. Covers idea validation, MVP development, pricing, launch strategies, and growing to sustainable revenue. Ship in weeks, not months. Use when: micro saas, indie hacker, small saas, side project, saas mvp.
Integrate Apple Pay payments and Wallet passes using PassKit. Use when adding Apple Pay buttons, creating payment requests, handling payment authorization, adding passes to Wallet, configuring merchant capabilities, managing shipping and contact fields, or working with PKPaymentRequest, PKPaymentAuthorizationController, PKPaymentButton, PKPass, PKAddPassesViewController, PKPassLibrary, or Apple Pay checkout flows.
Application-level React performance optimization covering React Compiler mastery, bundle optimization, rendering performance, data fetching, Core Web Vitals, state subscriptions, profiling, and memory management. Use when optimizing React app performance, analyzing bundle size, improving Core Web Vitals, or profiling render bottlenecks. Complements the react skill (API-level patterns) with holistic performance strategies. Does NOT cover React 19 API usage (see react skill) or Next.js-specific features (see nextjs-16-app-router skill).
Complete React + Vite expertise for building optimized, scalable applications. Covers project architecture, folder structure, component patterns, performance optimization, TypeScript best practices, testing, and build configuration. Use when building React apps with Vite, organizing projects, optimizing performance, or implementing best practices. Includes code generators, bundle analyzer, and production-ready templates.
Mint GitHub App installation tokens and resolve the reviewing identity a repository's tracker doc declares. Use when a publishing skill needs the login and review-token command for a reviewing app, or when a person invokes /review-bot to create, install, or check the app.
Implement modal and modeless dialogs using Syncfusion Blazor Dialog component. Use this skill when creating dialogs, popup windows, modal confirmations, custom forms, or interactive overlay windows. Covers templates, events, positioning, animations, accessibility, and advanced customization
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.