Skills
98,067 packaged capabilities and playbooks for agents. Install any of them with one command.
Development
Bare-metal GPIO skill for pin configuration and interrupts. Use when configuring GPIO modes, alternate functions, pull resistors, or EXTI interrupts on STM32/nRF/ESP32-class MCUs. Activates on queries about GPIO MODER, alternate function, pin interrupt, or LED/button bare-metal setup.
Production-ready patterns for building LLM applications. Covers RAG pipelines, agent architectures, prompt IDEs, and LLMOps monitoring. Use when designing AI applications, implementing RAG, building agents, or setting up LLM observability.
Use when the user wants to automate WeChat mini-program uploads, previews, or npm packaging via CI/CD; generate deployment scripts; set up miniprogram-ci workflows; or automatically create preview QR codes. Trigger whenever the user mentions “上传小程序”, “预览”, “CI 部署”, “miniprogram-ci”, “自动化上传”, “发布小程序版本”, “生成预览二维码”, “打包npm”, “pack-npm”, “构建npm依赖”, “GitHub Actions 小程序”, or “pnpm 小程序部署”, or asks to integrate a WeChat mini-program with continuous integration pipelines such as GitHub Actions or GitLab CI.
Operate Orca-managed worktrees, folder contexts, terminals, repos, automations, artifacts, skill sharing, worktree comments, and Orca's embedded browser through the `orca` CLI. Use when the user says "$orca-cli", "Orca worktree", "child worktree", "spawn codex/claude in a worktree", "read/wait/send Orca terminal", "handoff" / "handover" / "give this to another agent", "Orca browser", "orca artifacts", or "share skills". Prefer it over raw git worktree, ad hoc PTYs, or Computer Use when Orca state is involved. Use Computer Use only when a visible window needs GUI control that a CLI, filesystem, or API cannot do.
Protocol analysis skill for serial bus debugging. Use when decoding I2C/SPI/UART with logic analyzer concepts, sigrok/PulseView, or Python capture scripts. Activates on queries about logic analyzer, sigrok, PulseView, decode I2C SPI UART, or bus protocol capture.
Build on Snowflake's AI Data Cloud with snow CLI, Cortex AI (COMPLETE, SUMMARIZE, AI_FILTER), Native Apps, and Snowpark. Covers JWT auth, account identifiers, and Marketplace publishing. Prevents 11 documented errors. Use for Snowflake apps, Cortex AI SQL, and Native App publishing. Troubleshoot JWT auth failures, account locator confusion, memory leaks, and AI throttling.
This skill should be used when writing or reviewing Swift code for iOS or macOS projects. Apply modern Swift 6+ best practices, concurrency patterns, API design guidelines, and migration strategies. Covers async/await, actors, MainActor, Sendable, typed throws, and Swift 6 breaking changes.
Use this skill when the user asks about Syncfusion Angular licensing, license keys, license registration, license validation errors, trial licenses, or license troubleshooting. This skill provides comprehensive guidance on generating, registering, and managing Syncfusion license keys for Angular applications, including edition-based and platform-based licensing models, registration methods, CI/CD integration, and resolving common licensing errors.
Use this skill when users need to apply themes, customize appearance, switch dark mode, use CSS variables, configure icons, or modify visual styling for Syncfusion Angular components. Covers icon library, size modes, and Theme Studio integration.
Use when building or debugging WordPress Interactivity API features (data-wp-* directives, @wordpress/interactivity store/state/actions, block viewScriptModule integration, wp_interactivity_*()) including performance, hydration, and directive behavior.
Apple Silicon skill for M-series development and profiling. Use when leveraging unified memory, Metal Performance Shaders, Instruments profiling, sysctl hardware queries, Rosetta 2 behavior, or 16KB page size considerations. Activates on queries about Apple Silicon, unified memory, AMX, MPS, Instruments, Rosetta, or M-series page size
Build with the Claude Messages API using structured outputs for guaranteed JSON schema validation. Covers prompt caching (90% savings), streaming SSE, tool use, and model deprecations. Prevents 16 documented errors. Use when building chatbots or agents, troubleshooting rate_limit_error, prompt caching issues, streaming SSE parsing errors, MCP timeout issues, or structured output hallucinations
Guidance for building, debugging, and reviewing next.js apps that use cloudinary through next-cloudinary and the cloudinary node sdk v2. Use for tasks involving CldImage, CldVideoPlayer, CldUploadWidget, CldUploadButton, CldOgImage, GetCldImageUrl, GetCldOgImageUrl, GetCldVideoUrl, signed uploads, server uploads, deletes, transformations, responsive images, overlays, social cards, environment variables, and common Cloudinary errors.
Reduces LLM costs and improves response times through caching, model selection, batching, and prompt optimization. Provides cost breakdowns, latency hotspots, and configuration recommendations. Use for "cost reduction", "performance optimization", "latency improvement", or "efficiency".
Build or audit a design system including component library, design tokens, naming conventions, contribution model, and documentation. Use this skill whenever the user wants to build a design system, audit an existing system, define design tokens at the system level, structure a component library, or set up design system governance. Triggers on design system, component library, design tokens, atomic design, atoms, molecules, organisms, design system documentation, Storybook, Figma library, system governance, design contribution model. Also triggers when teams are inconsistent across products and a system is the answer
Comprehensive blueprint for Action RPGs including real-time combat (hitbox/hurtbox, stat-based damage), character progression (RPG stats, leveling, skill trees), loot systems (procedural item generation, affixes, rarity tiers), equipment systems (gear slots, stat modifiers), and ability systems (cooldowns, mana cost, AOE). Based on expert ARPG design from Diablo, Path of Exile, Souls-like developers. Trigger keywords: action_rpg, loot_generator, rpg_stats, skill_tree, hitbox_combat, item_affixes, equipment_slots, ability_cooldown, stat_scaling.
Use the Jev AI decision API from an AI coding agent when a workflow needs a typed choice, score, or yes/no judgment for routing, classification, verification, context compression, or a safety gate. On first use, guide the user through language, API key, and help configuration. Do not use it for open-ended writing, deterministic rules, exact lookups, or final permission enforcement.
Kernel memory management skill for Linux mm subsystem. Use when using kmalloc, vmalloc, page allocator, SLUB, or debugging OOM and memory zones. Activates on queries about buddy allocator, kmalloc sizes, vmalloc vs kmalloc, SLUB, memory zones, or kernel OOM.
Linux kernel testing skill for KUnit, kselftest, syzkaller, and LTP. Use when writing KUnit tests, running kselftest harness, configuring syzkaller fuzzing, or integrating KernelCI. Activates on queries about kunit_test_suite, kunit.py, kselftest, syzkaller, kcov, or Linux Test Project
Pattern for client components calling server actions to set cookies in Next.js. Covers the two-file pattern, where a client component with user interaction (onClick, form submission) calls a server action to modify cookies. Use for features such as authentication, preferences, or session management where client-side triggers need to set or modify server-side cookies.
Run Lighthouse audits locally via CLI or Node API, parse and interpret reports, and set performance budgets. Use when measuring site performance, understanding Lighthouse scores, setting up budgets, or integrating audits into CI. Triggers on: lighthouse, run lighthouse, lighthouse score, performance audit, performance budget. Do NOT use for fixing specific performance issues (use perf-web-optimization or core-web-vitals) or Astro-specific optimization (use perf-astro).
Help users integrate Portaly Payment hosted checkout, including merchant setup, subscription plans (monthly, yearly with 12-month deferred disbursement, one-time), checkout sessions, recurring renewal callbacks, and callback verification. Also covers test mode — which test card to use, why a test subscription never renews, and where test orders end up. Trigger when the user mentions Portaly Payment, creator subscription, wants to add subscription-based checkout to their application, wants the list of unfinished or failed checkouts (the dashboard's 未完成結帳 / 付款失敗) to follow up or reconcile, or is troubleshooting a Portaly test payment, test card, sandbox order, or a renewal callback that never arrived
Comprehensive healthcare AI toolkit for developing, testing, and deploying machine learning models with clinical data. This skill should be used when working with electronic health records (EHR), clinical prediction tasks (mortality, readmission, drug recommendation), medical coding systems (ICD, NDC, ATC), physiological signals (EEG, ECG), healthcare datasets (MIMIC-III/IV, eICU, OMOP), or implementing deep learning models for healthcare applications (RETAIN, SafeDrug, Transformer, GNN).
Implements advanced TypeScript type systems, creates custom type guards, utility types, and branded types, and configures tRPC for end-to-end type safety. Use when building TypeScript applications requiring advanced generics, conditional or mapped types, discriminated unions, monorepo setup, or full-stack type safety with tRPC.
Zero-knowledge proofs and privacy patterns on Stellar. Covers Groth16 verification in smart contracts via BLS12-381 host functions (CAP-59), the BN254 + Poseidon host functions (CAP-74/75), and concrete toolchain walkthroughs for Circom, Noir, and RISC Zero. Use when building privacy-preserving applications, ZK-verifier contracts, or wiring a proving toolchain to Stellar.
Manage Jira issues and Confluence wiki pages in Atlassian Cloud. Use when: (1) searching, creating, or updating Jira issues with JQL; (2) searching, reading, or creating Confluence pages with CQL; (3) managing Jira workflows, transitions, and comments; (4) browsing Confluence spaces and page hierarchies. Supports OAuth 2.1 via MCP server (recommended) or API token authentication (fallback).
Branch prediction and speculation skill for CPU security and performance. Use when explaining branch predictors, mispredict penalties, speculative execution, Spectre/Meltdown mitigations, or branchless patterns. Activates on queries about branch prediction, speculative execution, Spectre, Meltdown, mispredicts, or branchless code.
Python backend for Databricks Apps—FastAPI (default), Flask, Dash, Streamlit, Gradio, Reflex. **For a new Databricks App, the default is `databricks-apps` (AppKit — Node/TypeScript/React)—reach for it first.** Use this skill only when the user asks for a Python backend, extends an existing Python app, or the team is Python-only. Covers OAuth auth, app resources, SQL warehouse and Lakebase connectivity, foundation-model, Vector Search, and model-serving APIs (via `databricks-python-sdk`), and deployment via CLI or DABs.
Read and navigate external documentation efficiently. Invoke when the task requires checking how a specific function, endpoint, or configuration option works; when the user references an API, SDK, library, or third-party tool by name; when any docs URL or documentation site is mentioned; or when implementing something that depends on an external service or package.
Use when building Next.js 14+ applications with App Router, server components, or server actions. Invoke to configure route handlers, implement middleware, set up API routes, add streaming SSR, write generateMetadata for SEO, scaffold loading.tsx/error.tsx boundaries, or deploy to Vercel. Triggers on: Next.js, Next.js 14, App Router, RSC, use server, Server Components, Server Actions, React Server Components, generateMetadata, loading.tsx, Next.js deployment, Vercel, Next.js performance.
Implements role-based access control with a permission matrix, route guards, policy functions, and UI permission hints. Provides middleware/guards, helper utilities, test suggestions, and permission-checking patterns. Use when building “RBAC,” “permissions,” “access control,” or “authorization”
Profiles a target application using rocprofv3 with program counter sampling enabled and then analyzes the results. Use when the user has a program that runs on an AMD GPU and asks to perform PC sampling, to determine the runtime performance characteristics of their application, to determine stall reasons, or to determine hotspots in the code.
Bare-metal SPI and I2C skill for serial peripheral buses. Use when implementing master-mode transfers, register read/write protocols, or debugging bus stalls. Activates on queries about SPI bare-metal, I2C START/STOP, sensor register read, or clock phase/polarity.
Create PostHog error tracking suppression rules to drop high-volume, low-value errors at ingestion. Use when the user asks "stop capturing this error", "drop browser extension errors", "ignore ResizeObserver loops", "suppress bot-driven errors", or wants to reduce ingestion cost from noisy unactionable errors. Identifies suppression candidates, scopes the filter tightly, decides between full suppression and sampling, and confirms the rule before creating it. Suppressed errors are dropped permanently — this skill defaults to caution.
Expert guidance for designing, implementing, migrating, and debugging SwiftData persistence in Swift and SwiftUI apps. Use with @Model schemas, @Relationship/@Attribute rules, Query or FetchDescriptor data access, ModelContainer/ModelContext configuration, CloudKit sync, SchemaMigrationPlan/history APIs, ModelActor concurrency isolation, or Core Data to SwiftData adoption/coexistence.
Implements the Syncfusion Angular Rich Text Editor (ejs-richtexteditor) from @syncfusion/ej2-angular-richtexteditor using RichTextEditorModule, HtmlEditorService, and MarkdownEditorService. Use this skill for toolbar configuration, image/video/audio insertion, paste cleanup, AI assistant integration, emoji picker, slash menu, mentions, import/export Word/PDF, form validation, and source code view in Angular applications.
Generate a design document (design proposal) from a PRD, in the style of Go's official design proposals — Abstract / Background / Design / Rationale / Compatibility / Implementation, with an emphasis on the “why” and tradeoffs. Triggers on: to-design, prd-to-design, prd转设计文档, 生成设计文档, 写设计文档, design doc, design proposal, 设计提案, 技术设计文档.
UNIX command-line interface guidelines for building tools that follow POSIX conventions, proper exit codes, stream handling, and the UNIX philosophy. Use this skill when writing, reviewing, or designing CLI tools to ensure they integrate properly with the UNIX tool chain. Triggers on tasks involving CLI tools, command-line arguments, exit codes, stdout/stderr, signals, or shell scripts
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.