Skills
100,696 packaged capabilities and playbooks for agents. Install any of them with one command.
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Facilitates deliberate skill development during AI-assisted coding. Offers interactive learning exercises after architectural work (new files, schema changes, refactors). Use when completing features, making design decisions, or when user asks to understand code better. Supports the user's stated goal of understanding design choices as learning opportunities.
Legal and compliance expertise for corporate governance, contract analysis, regulatory compliance (SOX, GDPR, HIPAA), risk assessment, intellectual property, and litigation management. Use when reviewing contracts, ensuring compliance, or managing legal risk.
Implements JWT SSO authentication for Metabase embedding in a project. Supports all embedding types that use SSO — Modular embedding (embed.js web components), Modular embedding SDK (@metabase/embedding-sdk-react), and Full app embedding (iframe-based). Creates the JWT signing endpoint, configures the frontend auth layer, and sets up group mappings. Use when the user wants to add SSO/JWT auth to their Metabase embedding, implement user identity for embedded analytics, set up JWT authentication for Metabase, or connect their app's authentication to Metabase embedding.
Polishes raw Suno audio by processing per-stem WAVs (vocals, backing_vocals, drums, bass, guitar, keyboard, strings, brass, woodwinds, percussion, synth, other) with targeted cleanup, EQ, and compression, then remixing into a polished stereo WAV ready for mastering. Use after audio import and before mastering
Create an art bible for an AI short drama (scenes + narrative props): scene design intent, consistency anchors, lighting and time-of-day variants, and empty-scene prompts; prop dramatic function, state variants, scale references, and white-background, no-hands prompts. Outputs art.json, Markdown, and a one-page review report (including exported JSON). Designed for AI generation, not live-action—the environments and props are generated assets, and the deliverable is a consistency plan to keep them looking the same across episodes. All 10 quality gates are checked deterministically by scripts (3–5 anchors, no people or hands, white background suitable for cutouts, scale phrases, English prompts…). If novel-outline has an outline.json, use seed to prefill the scene list and episode appearances. Zero dependencies, zero API keys, no image generation—the deliverable is prompts; image generation happens downstream. Use when asked for scene settings, scene generation, environment bibles, scene consistency, or scene bibles for AI short dramas.
Execute and implement approved specification proposals in sequence, with testing and validation first. Use to implement changes, apply proposals, execute specification tasks, or build according to an approved plan. Triggers include "openspec开发", "开发", "实施" "实现提案", "应用变更", "执行规范", "按顺序完成任务", "构建功能", "开始实施".
Add-on to patrol-write-test for Patrol test suites built on LeanCode's recommended architecture—Modules, System, and ApiClients—with per-feature keys.dart files. Use together with patrol-write-test when the project's Patrol tests already follow this architecture (e.g., a `patrol_test/modules/` directory and a `testApp` wrapper), or when the user asks to introduce it or organize test code into modules
Understand Polymarket prediction markets for sports and esports betting. Use when working with Polymarket API, sports arbitrage, binary contracts, CLOB pricing, or cross-platform trading with Kalshi. Triggers on: polymarket, prediction market, sports betting, esports betting, arbitrage, CLOB
QEMU kernel development skill for driver and kernel testing. Use when booting custom kernels in QEMU, using Buildroot/Yocto rootfs, virtio devices, or NFS root for driver iteration. Activates on queries about QEMU kernel dev, Buildroot QEMU, virtio block, kernel module test QEMU, or -append root=
Use when the user wants to create, list, get, update, rename, or delete a SigNoz saved Explorer view. Trigger on phrases like "save this query as a view", "save this filter", "bookmark this search", "list my saved views", "show me views for traces/logs/metrics/meter", "rename the X view", "update my saved view to also filter Y", "delete the X view", or any request to manage Explorer saved views, even if they don't say "view" explicitly. Also use when someone wants to share a recurring Explorer query with their team and asks how to "save" or "bookmark" it.
Stellar standards, ecosystem, and reference. Covers SEPs (Stellar Ecosystem Proposals), CAPs (Core Advancement Proposals), and a quick map for picking the right standard for wallets, anchors, payments, deposits/withdrawals, federation, deep links, and KYC. Also bundles ecosystem references (DeFi protocols, dev tools, wallets, infra, community projects), curated documentation links, and MCP servers (live tools such as Raven). Use when you need to know which SEP applies, or want a starting point for ecosystem integrations, official docs, or live MCP tooling.
Publishing, upgrading, and deploying Sui Move packages. Use this skill when the user needs to publish a package, upgrade a published package, deploy to multiple networks, serialize transactions for multisig signing, run a local Sui network (localnet), prepare for Mainnet launch, monitor production deployments, or debug dry run failures. Also use when the user asks about sui client publish, sui client upgrade, UpgradeCap, upgrade policies, Published.toml, --serialize-output, localnet, mainnet launch checklist, gas estimation, multisig publishing, production monitoring, rollback, incident response, devInspectTransactionBlock, or --dry-run.
Implement the Syncfusion Blazor FileManager component for file browsing and management. Use when creating hierarchical file systems, handling multiple file operations, implementing data binding patterns, or setting up cloud provider integration. This skill covers file operations, data binding, event handling, and customization options.
Toolkit for styling artifacts with a theme. These artifacts can be slides, docs, reportings, HTML landing pages, etc. There are 10 pre-set themes with colors/fonts that you can apply to any artifact that has been creating, or can generate a new theme on-the-fly.
Explore requirements and approaches through collaborative dialogue before writing a right-sized requirements document and planning implementation. Use for feature ideas, problem framing, when the user says “let's brainstorm”, or when they want to think through options before deciding what to build. Also use when a user describes a vague or ambitious feature request, asks “what should we build”, “help me think through X”, presents a problem with multiple valid solutions, or seems unsure about scope or direction — even if they don't explicitly ask to brainstorm.
Ship an existing Clayzo animation as a web playback artifact, in an iOS or macOS app, or as rendered media. Use for renderer selection, React or Next integration, SwiftUI, assets and fonts, deployment, export preflight, loop verification, and approval of the exact revision being released.
Use this skill when the user asks about a "CDN", "edge caching", "static asset delivery", "media / video delivery", "geo distribution of content" or "edge POP selection", "push vs pull CDN", "cache-control headers" / "TTL for static assets", "origin offload", or "origin shield". It gives the recipe for serving bytes from the edge close to users. Use it whenever a design serves images, video, JS/CSS, or downloads to a wide geography, or the origin is saturated by repeat reads of the same files, even if the user doesn't say "CDN".
Unity Catalog governance, access control, and observability. Use to grant or revoke access (GRANT/REVOKE), reason about the privilege model and ownership, set up row-level security and column masks, create external locations and storage credentials, define catalogs/schemas/tables/volumes, answer "who can read this table", query system tables (audit, lineage, billing), work with volume files in /Volumes/, and set up connection passwords (secret scopes, Azure Key Vault, AWS Secrets Manager).
Batch-generate and compare visual design directions so a user can choose the style they actually want. Use when the user says they cannot describe an abstract visual style, asks for many style options, wants to choose from generated UI/design-system images, rejects outputs as too colorful/too dead/too generic, or needs an existing UI/design system evolved without discarding current assets.
Automatically discover life science APIs online, create ToolUniverse tools, validate them, and prepare integration PRs. Performs gap analysis to identify missing tool categories, web searches for APIs, automated tool creation using devtu-create-tool patterns, validation with devtu-fix-tool, and git workflow management. Use when expanding ToolUniverse coverage, adding new API integrations, or systematically discovering scientific resources.
When you want to brainstorm and check available .com domains for a new project — brand naming, aftermarket pricing (HugeDomains / Afternic / Sedo / Dan), USPTO trademark screening, and social handle availability. Built on Laura Roeder's "work backwards from availability" method. Combines Vercel CLI, whois, Domainr, Namecheap, and agent-browser, each for what it reliably does. Workflow: budget → brainstorm → availability check → whois cross-check → price → aftermarket sweep (plus liveness probe and drop-watch) → bucket → negotiate → trademark + socials → buy. Triggers on "/domain," "find a domain," "check domain availability," "brainstorm a domain," "what .com is available for X," "domain hunt," "name my project," "is X.com available," "aftermarket price on X.com," "trademark check for X."
Analyzes events through an economic lens using supply and demand, incentive structures, market dynamics, and multiple schools of economic thought (Classical, Keynesian, Austrian, Behavioral). Provides insights on market impacts, resource allocation, policy implications, and distributional effects. Use when: economic events, policy changes, market shifts, financial crises, regulatory decisions. Evaluates: incentives, efficiency, opportunity costs, market failures, systemic risks.
Expert patterns for porting desktop games to mobile, including touch control schemes (virtual joystick, gesture detection), UI scaling for small screens, performance optimization for mobile GPUs, battery life management, and platform-specific features. Use when creating mobile ports or cross-platform mobile builds. Trigger keywords: TouchScreenButton, virtual_joystick, gesture_detector, InputEventScreenTouch, InputEventScreenDrag, mobile_optimization, battery_saving, adaptive_performance, MOBILE_ENABLED
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.
Expert blueprint for turn-based combat with turn order, action points, phase management, and timeline systems for strategy/RPG games. Covers speed-based initiative, interrupts, and simultaneous turns. Use when implementing turn-based combat OR tactical systems. Keywords turn-based, initiative, action points, phase, round, turn order, combat.
Memory hierarchy skill for caches, coherence, and locality. Use when explaining cache levels, associativity, false sharing, prefetching, or MESI coherence. Activates on queries about cache hierarchy, L1 L2 L3, false sharing, cache line, prefetch, or cache coherence.
Expert data engineering with Metabase at the center of any company's stack: explore and profile raw warehouse tables, build clean tables as Metabase transforms pinned by transform tests, build the semantic layer (models, metrics, measures, segments, metadata), design dashboards, answer questions with checked numbers, reconcile against a reference, change delivered definitions safely. Use for data work, not one `mb` command (`metabase-cli`): “make sense of my data”, “model this raw schema”, “set up analytics for X”, “build a data model”, “define MRR / active customers officially”, “build a semantic layer”, “go from raw tables to a dashboard”, “does this number match finance”, “our numbers look wrong”, “two cards disagree”, “test this transform”, “why does this transform get case X wrong”, “make Metabot answer questions about X”, “explain this table”, “change this definition”, “build a data app”, “add a page / a form to my data app”, “donor retention”, “event attendance”, “quarterly board report”, “be my data engineer / analyst”
Use when an n8n workflow isn't working, errors appear, results don't match what was expected, or the user says "this isn't working." Triggers on errors, unexpected output, "it's not working", "why is this happening", "the workflow stopped", failure investigation, or any debugging context.
Design comprehensive test cases using PICT (Pairwise Independent Combinatorial Testing) for any piece of requirements or code. Analyzes inputs, generates PICT models with parameters, values, and constraints for valid scenarios using pairwise testing. Outputs the PICT model, markdown table of test cases, and expected results.
QA engineering workflows on top of Playwright. Use when a QA engineer asks to design test cases from a ticket, PRD or acceptance criteria, decide what to automate, write a bug report from a failing test or trace, convert manual test cases (TestRail, Xray, CSV) into Playwright specs with case-ID traceability, or review Playwright test code and pull requests.
Ruby on Rails Hotwire best practices for building interactive applications with Turbo Drive, Turbo Frames, Turbo Streams, Turbo 8 morphing, and Stimulus controllers. This skill should be used when writing, reviewing, or refactoring Hotwire-powered Rails code to ensure optimal patterns for navigation, partial page updates, real-time broadcasting, morphing, Stimulus controller design, error handling, and progressive enhancement. Triggers on tasks involving Turbo Frames, Turbo Streams, Turbo Drive, broadcasts, morphing, Stimulus controllers, ActionCable, turbo_stream_from, turbo_frame_tag, data-controller, data-action, or Hotwire performance. Complementary to rails-dev, rails-testing, rails-design-system, ruby-optimise, and ruby-refactor skills.
High-level overview of what Sui is, how it works, and what the Sui Stack provides. Use when explaining Sui to someone new, comparing Sui to other blockchains (Ethereum, Solana, Bitcoin), discussing the object-centric data model conceptually, choosing which Sui Stack primitives to use (randomness, zkLogin, Walrus, Nautilus, DeepBook, Kiosk, Seal), exploring use cases Sui enables (DeFi, gaming, NFTs, identity, social, supply chain), or migrating from Ethereum or Solana to Sui.
This skill should be used when working with pre-trained transformer models for natural language processing, computer vision, audio, or multimodal tasks. Use for text generation, classification, question answering, translation, summarization, image classification, object detection, speech recognition, and fine-tuning models on custom datasets.
Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.
Generate preventive Well-Architected guardrails — AWS Config rules, Service Control Policies, permission boundaries, CloudWatch alarms, and IaC policy checks (CDK Aspects, cfn-guard, OPA/Sentinel) — plus an optional governance steering doc, so a workload stays aligned with Well-Architected best practices over time instead of being assessed once. Use when the user wants to enforce best practices in CI, prevent insecure or non-compliant configurations from shipping, detect configuration drift, codify the fixes from a Well-Architected review as ongoing controls, or capture standards as an always-on steering file for their AI coding agent.
Apply the NIST AI Risk Management Framework (AI RMF 1.0) and related guidance to AI / ML systems—model lifecycle governance, fairness and bias evaluation, robustness, transparency, accountability, third-party model risk, drift monitoring, and AI incident response. Broader than prompt injection (the security-specific area). Use when the user mentions 'AI risk,' 'AI governance,' 'NIST AI RMF,' 'AI compliance,' 'ML governance,' 'model risk management,' 'AI fairness,' 'AI bias,' 'algorithmic accountability,' 'AI Bill of Rights,' 'EU AI Act,' 'AI transparency,' 'model card,' 'AI red-team program,' 'AI safety,' 'responsible AI,' 'model drift,' 'concept drift,' 'AI monitoring,' 'AI incident,' or needs to assess or govern an AI / ML system.
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.