Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Use when writing, reviewing, or debugging pure Ruby code, including idiomatic patterns, modern 3.x+ features (pattern matching, Data.define, endless methods), error handling conventions (raise vs fail, result objects), memoization, and performance idioms. For Rails use rails-guides. For testing use minitest. For code style use sandi-metz-rules
Covers the RWKV (Receptance Weighted Key Value) architecture, an RNN/Transformer hybrid with O(n) inference and no KV cache, including RWKV-7, its parallel GPT-mode training and sequential RNN-mode inference, state passing, fine-tuning with DeepSpeed, and CUDA kernel setup. Use when generating text token by token with constant memory, processing very long contexts of 100K+ tokens, fine-tuning an RWKV model, comparing RWKV memory and speed against Transformers, or debugging RWKV state handling, loading, or out-of-memory errors. Prefer a standard Transformer when peak accuracy matters more than memory, and Mamba for state-space models.
Build sandboxed applications for secure code execution. Load when building AI code execution, code interpreters, CI/CD systems, interactive dev environments, or executing untrusted code. Covers Sandbox SDK lifecycle, commands, files, code interpreter, and preview URLs. Biases towards retrieval from Cloudflare docs over pre-trained knowledge.
Audit a Scala file or codebase for refactoring opportunities — Scala 3 modernization, idiom adoption, anti-pattern removal, performance hygiene, tail-recursion safety, and migration cleanup. Produces educational, documentation-backed findings as suggestions only, never editing the file in place. Use this skill whenever the user asks to refactor Scala code, modernize Scala 2 to Scala 3, find Scala anti-patterns, optimize Scala performance, review Scala idioms, apply opaque types, replace value classes, convert sealed traits to enums, migrate implicits to given/using, audit a `.scala` file, or do anything involving cleaning up or improving Scala code — even if they don't explicitly say "audit" or "refactor". Trigger on phrases like "review my Scala", "modernize this Scala", "make this idiomatic Scala 3", "find issues in this Scala file", "check for Scala anti-patterns", or any pasted Scala code accompanied by a request to improve, clean, optimize, or modernize it.
Implements the Spec-Driven Development lifecycle (Intent, Requirements, Design, Tasks, Build) for structured feature development. Use when the user wants to scaffold a new feature spec, generate EARS requirements, create a technical design, break work into tasks, or check spec status. Trigger on keywords: sdd, spec-driven, ears requirements, feature spec.
Comprehensive frontend development skill for building modern, performant web applications using ReactJS, NextJS, TypeScript, Tailwind CSS. Includes component scaffolding, performance optimization, bundle analysis, and UI best practices. Use when developing frontend features, optimizing performance, implementing UI/UX designs, managing state, or reviewing frontend code.
Generates sentence, text, and image embeddings locally with the Python sentence-transformers (SBERT) library, using pre-trained Hugging Face models such as all-MiniLM-L6-v2, all-mpnet-base-v2, and multilingual variants. Covers encoding, cosine similarity, semantic search, batch encoding, fine-tuning, and LangChain/LlamaIndex integration. Use when building embeddings for RAG, running semantic search or similarity scoring, clustering or classifying text, embedding multilingual text without an API, or fine-tuning an embedding model on domain data. For API-based or managed embeddings, use OpenAI or Cohere Embed instead.
Language-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.
Scientific method expert for systematic bug investigation and root cause analysis. Use when users report bugs, crashes, unexpected behavior, or debugging requests. Applies hypothesis-driven investigation, controlled experiments, and rigorous validation across any programming language or platform.
Simple Preference Optimization for LLM alignment. Reference-free alternative to DPO with better performance (+6.4 points on AlpacaEval 2.0). No reference model needed, more efficient than DPO. Use for preference alignment when want simpler, faster training than DPO/PPO.
Write Node.js/TypeScript Sinch Functions with `@sinch/functions-runtime`. Use when writing or editing `function.ts`: answering and controlling calls with Voice API v2, IVR menus, placing or bridging calls, SMS/WhatsApp/RCS webhooks, custom HTTP endpoints, cache/storage/database, auth and `setup()` hooks. Run and deploy with the sinch-cli skill.
Build and edit the Smithery homepage app -- a TanStack Start + shadcn/ui web app at ~/.smithery/homepage that connects to MCP servers through the Smithery Connect API. Use this skill whenever the user wants to create, modify, or add features to the Smithery homepage, build pages that display data from MCP tools (Linear issues, Gmail, Notion, etc.), or asks about editing anything in ~/.smithery/homepage. Also triggers for requests like 'add a page to the homepage', 'show my Linear issues on the homepage', 'update the homepage UI', or any task involving the ~/.smithery/homepage project.
Software engineering guidelines for any software change. This skill MUST be loaded before requirement clarification, architecture/design, implementation, refactoring, code review, testing, shipping, or creating Git commits (including standalone commit requests), and MUST NOT be skipped because the change is a one-liner. Covers simplicity, complete delivery based on a coherent implementation design, testing-first for high-impact changes with TDD (Test-Driven Development), and verifiable success criteria. Triggers on: 任何軟體規劃, 需求釐清, 架構設計, 寫 code, 改 code, 做功能, 修 bug, refactor, 開發, coding, development, 實作, 實現, 寫程式, 改程式, 加功能, 修問題, code review, 測試, 重構, init, 初始化專案, 建立 CLAUDE.md, 建立 AGENTS.md
Use when someone asks to research a software-engineering question through a verified, multi-perspective lens — "should we use X vs Y", "evaluate library/framework/database Z", "research whether we should adopt …", "write an ADR for …", "spike on …", or "migrate from X to Y / upgrade path". Runs a STORM-style pipeline specialized for software: auto-detects one of five research modes (library-eval, deep-research, architecture, spike, migration), spawns that mode's expert lenses in parallel, maps their contradictions, synthesizes an HTML briefing and a Markdown/ADR record, then adversarially verifies every claim against PRIMARY software sources (official docs, RFCs, GitHub releases, OSV/CVE, OpenSSF Scorecard, benchmarks) with version-awareness. Best for decisions where multiple viewpoints and version-correct, fact-checked claims matter; overkill for a quick API lookup. For non-software topics use deep-research; for a pure scored decision matrix use trade-off-analysis.
Provides guidance for training and analyzing Sparse Autoencoders (SAEs) using SAELens to decompose neural network activations into interpretable features. Use when discovering interpretable features, analyzing superposition, or studying monosemantic representations in language models.
Springdoc OpenAPI for API documentation in Spring Boot. Covers Swagger UI configuration, annotations, schema customization, and security documentation. Based on production patterns from castellino and gestionale-presenze projects. USE WHEN: user mentions "Springdoc", "Spring Boot OpenAPI", "Swagger in Spring", "@Operation", "@Schema", "Swagger UI Spring", asks about "Spring Boot API documentation", "Spring REST documentation", "OpenAPI in Java". DO NOT USE FOR: General OpenAPI specs - use `openapi` instead; GraphQL - use `graphql` instead; Non-Spring Boot projects; Frontend OpenAPI generation - use `openapi-codegen` instead
Converts a Stitch screen, a local HTML file, or a URL into modular Vite + React components — TypeScript, theme-mapped Tailwind, dark mode via CSS variables, and clean component architecture. Use this for Vite/React apps without App Router. For Next.js 15 App Router, use stitch-nextjs-components instead. Only the Stitch route needs an API key.
Stripe payment platform reference (API 2026-09-30.endive). PaymentIntents, Checkout, Payment Links, Elements, Link, Managed Payments, Subscriptions, Invoices, Connect (Accounts v2), Radar, Terminal, Tax, Issuing, Treasury, Capital, Financial Connections, Climate, Revenue Recognition, Crypto Onramp, stablecoin, Identity, Webhooks, Stripe CLI, idempotency, API versioning, pagination, error handling
Guides Stripe integration decisions across development and test environment planning (separate sandboxes vs the shared test mode sandbox), API selection (Checkout Sessions vs PaymentIntents), Connect platform setup (Accounts v2, controller properties), billing/subscriptions, tax and registrations (Stripe Tax, automatic_tax, product tax codes), Treasury financial accounts, integration options (Checkout, Payment Element), migrating from deprecated Stripe APIs, and security best practices (API key management, API key permissions, webhooks, OAuth). Use when planning, building, modifying, testing, or reviewing any Stripe integration, including choosing a development environment, accepting payments, building marketplaces, integrating Stripe, processing payments, setting up subscriptions, collecting sales tax, VAT, or GST, creating connected accounts, or implementing secure key handling.
Search code by AST structure using ast-grep. Find semantic patterns like function calls, imports, class definitions instead of text patterns. Triggers on: find all calls to X, search for pattern, refactor usages, find where function is used, structural search, ast-grep, sg.
Use when writing or refactoring Swift (SwiftUI/UIKit/AppKit) code to follow MVVM with a small, testable ViewModel. Triggers on: MVVM, ViewModel, ObservableObject, @Observable, Observation, AppKit, NSViewController, UIKit, state management, dependency injection, protocol adapters, refactor view logic, massive view model, testable, async/await, Combine, Swift Testing, #expect.
This skill synchronizes plugin skills (plugins/synapse-a2a/skills/) with the current implementation, README.md, and guides folder. Use this skill when implementation changes have been made, new features added, or documentation updated, to ensure plugin skills stay up-to-date. Triggered by /sync-plugin-skills command or when significant code changes are detected.
Contributing to the Twenty codebase itself (twentyhq/twenty server internals), not for building apps on top of Twenty. Create cache services and transformation utilities for syncable entities in Twenty. Use when implementing entity-to-flat conversions, input DTO transpilation to universal flat entities, or cache recomputation for syncable entities.
Comprehensive guide for implementing Syncfusion ASP.NET Core Calendar components including Calendar, DatePicker, DateRangePicker, DateTimePicker, and TimePicker. Use this skill ALWAYS and immediately when the user asks about any Syncfusion ASP.NET Core calendar, date picker, date range picker, time picker, datetime picker, calendar views, multi-selection, Islamic calendar, date range restriction, week numbers, day cell customization, renderDayCell, date selection, range selection, date formatting, date masking, globalization, localization, strict mode, accessibility, or any related calendar/date/time UI in ASP.NET Core tag helper applications.
Implements Syncfusion Flutter Slider controls (SfSlider, SfRangeSlider, SfRangeSelector) for numeric value selection and range inputs. Use when working with single-value sliders, range selection, or chart-range controllers in Flutter apps. This skill covers thumb and tooltip customization, ticks, dividers, RTL support, drag modes, and chart integrations.
Learn how to implement and configure the Syncfusion TypeScript AppBar control for navigation bars, app headers, and UI toolbars. This skill covers responsive positioning, color modes, sizing, styling, and component integration. Use when building navigation solutions that require flexible layout and styling options.
Implement Syncfusion TypeScript Avatar components for user representations. Use when user needs to display user profiles, avatars with different shapes (circular or rectangular), custom sizing, media formats (images, SVG, icons, letters), color customization, or integrate avatars with other controls like Badge or ListView.
Learn to implement and configure the Syncfusion TypeScript Breadcrumb component for navigation. Use this skill when implementing breadcrumb navigation for web applications. Covers component initialization, item configuration, overflow handling, event management, and advanced customization.
Implements the Syncfusion Javascript (ES6) is case-sensitive PDF Viewer (PdfViewer) for embedding, configuring, and loading PDF documents. Use this when rendering PDFs in a TypeScript application using the EJ2 class-based approach, embedding viewer controls, or generating TypeScript and HTML code for PDF display and interaction.
Create and implement the Syncfusion TypeScript Stepper navigation component. Use this skill whenever a user wants to display a progress indicator with steps, implement a wizard workflow, show a multi-step process, display navigation between form pages, add step validation, or configure step-by-step guided experiences. Always reference this skill when working with Stepper controls, step configuration, orientations, events, or animations.
Use this skill for UWP Application needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls) files; using formulas, filtering, sorting, or cell formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Use this skill for Windows Forms Application needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls) files; using formulas, filtering, sorting, or cell formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Use this skill for WPF Application needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls) files; using formulas, filtering, sorting, or cell formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Design or evolve a production system from repository evidence, measurable requirements, capacity math, protected invariants, and explicit trade-offs. Reads an existing codebase as the current architecture, closes the requirements it cannot recover on its own, then draws structurally distinct candidates and recommends one with a chained evidence argument. Produces an interactive HTML report, a structured design.json, and a durable DESIGN.md a later session can resume. In an existing repository it also audits the implementation against the intended architecture and records the debt it finds, each with a remedy and its evidence. Use for repository architecture work, greenfield systems, scaling and sharding plans, datastore or consistency choices, capacity and cost sizing, recording a decision as an ADR, or auditing a system that has drifted from its design. Answers directly when the numbers already settle the choice instead of manufacturing a document.
Systematic step-by-step debugging process for bugs, test failures, and unexpected behavior. Use when a test fails, something isn't working as expected, user says "this is broken", "why isn't X working", "help me debug", or when you encounter any error before proposing a fix.
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.