Skills
97,725 packaged capabilities and playbooks for agents. Install any of them with one command.
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Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.
Compatibility alias for explicit qodo-pr-resolver requests. Follow the complete Qodo PR review workflow embedded here and use qodo-review-resolver for new invocations; lifecycle update provenance intentionally uses the canonical qodo-review-resolver release-index identity.
Football (soccer) data across the world's major leagues—standings, schedules, match stats, xG, transfers, player profiles, head-to-head history, team strength (Elo), and match forecasts. Zero config, no API keys. Covers Premier League, La Liga, Bundesliga, Serie A, Ligue 1, MLS, Champions League, World Cup, Championship, Serie B, Eredivisie, Primeira Liga, Serie A Brazil, Russian Premier League, Scottish/Belgian/Turkish top flights, European Championship, and more (call get_competitions for the live list). Use when: user asks about football/soccer standings, fixtures, match stats, xG, lineups, player values, transfers, injury news, league tables, daily fixtures, player profiles, head-to-head records, team strength/Elo ratings, or match odds/forecasts. Don't use when: user asks about American football/NFL (use nfl-data), college football (use cfb-data), NBA (use nba-data), WNBA (use wnba-data), college basketball (use cbb-data), NHL (use nhl-data), MLB (use mlb-data), tennis (use tennis-data), golf (use golf-data), cricket (use cricket-data), Formula 1 (use fastf1), or betting odds (use polymarket or kalshi). Don't use for live/real-time scores—data updates post-match. Don't use get_season_leaders or get_missing_players for non-Premier League leagues (they return empty). Don't use get_event_xg for leagues outside the top 5 (EPL, La Liga, Bundesliga, Serie A, Ligue 1).
Specify one micro-interaction completely — trigger, rules, feedback, loops, and modes. Use when handing a single interaction to engineering. For motion craft alone use `animation-principles`; for multi-state components use `state-machine`.
Guided journey from a large aged codebase everyone fears to touch to one that is safe to change, legible, bounded, and resilient - paid down in place without a rewrite. Orchestrates eight skills phase by phase - working-with-legacy-code, refactoring-patterns, clean-code, software-design-philosophy, clean-architecture, pragmatic-programmer, release-it, domain-driven-design - asking the user questions at every decision point and recording results in the project docs/ folder (TESTING.md, TECH-DEBT.md, REMOVE-TECHNICAL-DEBT-PLAN.md) so the journey resumes across sessions. Use when the user wants to tame a legacy codebase, pay down technical debt safely, avoid a big-bang rewrite, or says ''we are afraid to touch this code''. For a fresh vibe-coded prototype, improve-code-quality; for greenfield structure, design-code-architecture; for a product-and-UX pass, improve-app; to optimize a working codebase for speed, architecture-optimization. For one framework in isolation, invoke that skill directly.
Facilitates evidence-aware scientific ideation with independent generation, structured discussion, explicit assumptions, transparent evaluation, adversarial review, and decision logs. Use for early-stage research brainstorming or prioritizing candidate directions; hand off empirical validation, study design, ethics or regulatory review, and clinical questions to appropriate experts or skills.
INVOKE THIS SKILL for Arize Prompt Hub and `ax prompts` workflows: author or import templates and save (Workflows A–B), label/promote (C), or list/get/edit/delete/duplicate (D). Use when the user mentions ax prompts, Prompt Hub, creating/editing/saving a prompt, `{variable}` placeholders, or production/staging labels. For improving prompt text using traces or eval scores, use arize-prompt-optimization. For running experiments, use arize-experiment.
When the user wants to write content for a LinkedIn carousel, Instagram carousel, Facebook carousel, TikTok photo carousel, Pinterest Idea Pin, or any swipeable multi-slide format. Also use when the user mentions 'carousel,' 'slides,' 'LinkedIn carousel,' 'Instagram carousel,' 'IG carousel,' 'photo carousel,' 'TikTok photo carousel,' 'Idea Pin,' 'Pinterest Idea Pin,' 'swipe post,' 'slide deck,' or 'visual content.' Outputs slide-by-slide text content (not visual design). For single posts, see post-writer-sms. For threads, see thread-writer-sms. For caption copy under each slide post, see caption-writer-sms.
Generate an interactive PR review walkthrough as an HTML page. Fetches PR data via gh API, categorizes files into core vs mechanical changes, adds reviewer annotations, and renders diffs with moved-code detection. Use when the user pastes a GitHub PR URL and asks for a review, walkthrough, or summary, or says "review this PR".
Use this skill to review a Lightning Web Component (.html, .js, .css files) for right-to-left (RTL) internationalization correctness, producing a finding list with code-level fixes covering CSS logical properties, bidirectional text handling, keyboard semantics, and RTL-aware SLDS class usage. Trigger when the user says "review this LWC for RTL," "audit i18n compliance," "fix bidirectional text rendering," "replace left/right CSS with logical properties," "check RTL layout issues," "verify SLDS RTL classes," "review my component for Arabic/Hebrew layout," "ensure this LWC works in RTL locales," or "check bidi text handling." DO NOT TRIGGER when the user is building a new LWC (use experience-lwc-generate), refactoring SLDS classes themselves (use design-systems-slds-apply or design-systems-slds2-migrate), or performing accessibility/security review.
Extract structured data from websites and produce an executable Playwright script plus extracted data. Use when the user wants to scrape, extract, pull, collect, or harvest data from any website — product listings, tables, search results, feeds, profiles, or any repeating content.
Guided journey from a shipped app that works but feels rough to a product that fits the job, flows without friction, reads clearly, and persuades honestly. Orchestrates nine skills phase by phase - jobs-to-be-done, ux-heuristics, design-everyday-things, refactoring-ui, microinteractions, made-to-stick, influence-psychology, high-perf-browser, steve-jobs-design-review - asking the user questions at every decision point and recording results in the project docs/ folder (CUSTOMER.md, DESIGN.md, POSITIONING.md, IMPROVE-APP-PLAN.md) so the journey resumes across sessions. Use when the user wants to fix a clunky product, cut UX friction, sharpen in-app copy, or says ''the app works but feels rough''. Not for code, tests, or hardening - use improve-code-quality (fresh prototype) or remove-technical-debt (aged); no app yet, create-app; needs growth loops, grow-app; marketing-site friction, improve-website; one leaking flow, conversion-optimization. For one framework in isolation, invoke that skill directly.
nuqs (type-safe URL query state) best practices for Next.js and other React frameworks. This skill should be used when writing, reviewing, or refactoring code that uses nuqs for URL state management. Triggers on tasks involving useQueryState, useQueryStates, search params, URL state, query parameters, nuqs parsers, limitUrlUpdates, Standard Schema, NuqsAdapter, or Next.js routing with state.
Design, implement, optimize, and review SIMD code in .NET. Use for vectorizing scalar loops with TensorPrimitives, Vector64/128/256/512, or platform hardware intrinsics; reviewing existing SIMD code, including the generic Vector type, for contract equivalence, tail handling, memory safety, portability, fallbacks, and measured performance. Do not use for performance work unrelated to SIMD or vectorization.
Create new skills, modify and improve existing skills, and measure skill performance. Use when users want to create a skill from scratch, edit, or optimize an existing skill, run evals to test a skill, benchmark skill performance with variance analysis, or optimize a skill's description for better triggering accuracy
Apply animation principles — easing, staging, follow-through — to one specific UI motion. Use when tuning how an animation feels. For product-wide duration and easing tokens use `motion-system` (design-systems); for a full interaction spec use `micro-interaction-spec`.
Guided statistical analysis for research data — test selection, assumption checking, effect sizes, power analysis, Bayesian alternatives, and APA-formatted reporting. Use whenever a user wants to compare groups, test a hypothesis, analyze experimental or survey data, check statistical assumptions, compute required sample sizes, or write up results — even if they never name a specific test. Covers t-tests, ANOVA, chi-square, correlation, regression, non-parametric and Bayesian methods. For low-level model APIs, see the statsmodels and pymc skills.
Creates and automates custom image builds with EC2 Image Builder - Linux, Windows, and macOS AMIs, and container images to ECR. Covers the build IAM role, Amazon-managed and custom components, image recipes, infrastructure and distribution configuration (launch templates, SSM parameters, other Regions), one-off builds, recurring scheduled pipelines for golden AMI automation and OS patching, custom image workflows, and diagnosing failed builds. Applies when creating, automating, or scheduling AMI or container image builds with Image Builder, or when debugging a failed build. Not for launching instances from existing AMIs, AMI lifecycle/retirement, or general EC2 fleet management.
Use when writing or reviewing Jetpack Compose UI tests, screenshot tests or baseline-recording evidence, previews, semantics assertions, fake image loading, keyboard input, focus assertions, interaction state (hover/pressed/focused), or tests for plain state-driven UI composables
A typesetting engine for WeChat official account articles that converts Markdown into HTML you can paste straight into the account editor. Theme styles are picked from the custom theme library registered in references/theme-index.md, with automatic section numbering, keyword underline marking, lead cards, table of contents navigation, code blocks, images/GIFs and author signature. Supports Markdown / Word(.docx) / PDF / plain text input (non-Markdown input is normalized first), also supports "one-click auto-typesetting" (auto-infer the structure + pick a theme), and can also generate a custom theme component library from the user's description or reference images and save it locally for reuse. Trigger scenarios: (1) the user mentions WeChat official account typesetting, WeChat articles, WeChat typesetting or "gzh", (2) the user wants to convert an article (md/docx/pdf/plain text) into WeChat account HTML, (3) the user says "auto-typesetting" or "one-click typesetting" for account content, (4) the user wants to generate a new theme / custom style / a component library based on a reference image for WeChat account typesetting. Not for generating ordinary web pages, landing pages or PPT (use frontend or PPT-type skills).
Create tiny no-text Milvus-style sticker memes for technical marketing, WeChat-style article moments, community posts, and developer-group reactions. Use when the user wants an original meme/sticker with an abstract Milvus bird/eagle mascot, strong exaggerated emotion, internet-native sticker energy, light-blue accents without making the whole character blue, and deterministic small-size exports such as 512, 240, 120, or 50 px.
Creates, optimizes, and iteratively refines agent prompts, system prompts, developer prompts, and reusable prompt templates. Use when asked to improve a prompt, optimize a system prompt, rewrite an agent prompt, tune prompt wording, make a prompt more reliable, port prompts between OpenAI, Claude, or Gemini, or build prompt evals.
Translate, transcreate, review, or maintain multilingual product and marketing content, including source locking, glossary decisions, language style, machine-assisted workflows, legal-content safeguards, QA, and source-change synchronization. Use localization-strategy for market scope, locale architecture, rollout, and production release planning.
Build macroeconomic and rates dashboards combining macro indicators, yield curves, inflation breakevens, and swap rates. Use when monitoring macro conditions, analyzing yield curve shape, decomposing real vs nominal rates, assessing policy rate expectations, or evaluating financial conditions.
Act as an interactive data analyst for ClickHouse-backed analytics. Use when the user asks questions about internal data, metrics, dashboards, telemetry, active users, revenue, funnels, trends, distributions, or wants an analyst-style conversation, ad hoc SQL, charts, or a data export against ClickHouse (local or ClickHouse Cloud).
ERC-8004 on-chain Agent identity on XLayer: register / create / update / activate / deactivate / search agents; view ratings; list agent services; set avatar. Roles: user (User / User Agent / Buyer / Client / 用户 / 买家 / 买方), asp (ASP / Provider / Provider Agent / Seller / Merchant / 提供者 / 商家 / 服务提供商 / 卖家 / 卖方), evaluator (Evaluator / Evaluator Agent / 仲裁者 / 评估者). Use for: 注册agent / 注册ASP / 注册User / 注册用户 / 注册买家 / 注册卖家 / 注册服务提供商 / 注册仲裁者 / 创建用户 / 创建买家 / 创建卖家 / 我的agent / 我的ASP / 改agent / 更新agent / 上架 / 下架 / 上架ASP / 停用 / 搜索agent / 找做X的ASP / 查口碑 / 传头像 / agent有什么服务 / endpoint怎么填 / register agent / register ASP / register User / register Provider / register Seller / register Buyer / register Client / update agent / modify agent / activate / deactivate / search agent / agent reviews / agent services / upload avatar. Role words, lifecycle verbs and the product name are spacing / casing / typo tolerant - match by meaning (e.g. "更新卖家身份" → update an asp identity).
Generates the JSON config file that the Salesforce sandbox post-copy automation tool consumes, from a customer SOP in any format (PDF, xlsx, csv, JSON, docx, Markdown, plain text, or a screenshot of an endpoint table). Use when the user asks to create, build, generate, produce, or convert a post-copy or post-refresh automation config—turning a sandbox-refresh SOP into a JSON array of OutboundMessages (OBM), RemoteSiteSettings, ScheduledApex, and Flows entries with ConfigurationName, Label, Fields, IsActive, and ExecutionOrder. Also trigger for phrasings like “post-copy config”, “post-refresh automation JSON”, “update the outbound message (OBM) endpoints after refresh”, “convert this SOP to config”, “remote site settings JSON”, “refresh planner to JSON”, or “sandbox refresh config”. DO NOT TRIGGER when: user wants to deploy the generated config to an org (use platform-metadata-deploy), or apply/execute/run/dry-run the post-copy automation JSON against a sandbox (use automation-sandbox-post-copy-configure).
Creates, runs, shares, and tears down Namespace devboxes with `devbox` or `boxctl`. Use for isolated Linux or macOS environments, remote builds or tests, disposable Docker hosts, workloads exceeding local capacity, exposing `devbox.so` URLs, or working inside a devbox (`NAMESPACE_DEVBOX_WORKSPACE_DIR` is set), including keeping unattended work alive with task markers.
Use when converting an existing JavaScript Lightning Web Component (.js, .html, .css) to TypeScript with full type annotations and a matching `.d.ts` file that exposes only the component's `@api` surface. TRIGGER when the user says "convert LWC to TypeScript", "migrate LWC to TS", "rename .js to .ts for this component", "add types to my LWC", "generate .d.ts for this LWC", "type-annotate @api properties", or "produce declare module 'c/componentName' definitions". DO NOT TRIGGER when the user is authoring a brand-new LWC from scratch (use experience-lwc-generate), generating Jest tests for an existing LWC (use experience-lwc-generate), or migrating an Aura component to LWC.
When the user wants to create Reddit post copy, comments, or optimize for Reddit. Also use when the user mentions "Reddit post," "subreddit," "r/," "Reddit marketing," "post to Reddit," "Reddit thread," "Reddit comment," "Reddit copy," "Reddit content," or "Reddit engagement." For Reddit ads, use reddit-ads.
Use when the user wants to plan, create, or repurpose visual content (images, infographics, social post images) across channels. Also use when the user mentions "content images," "social media images," "infographic," "visual content," "post image," "image specs," "visual repurposing," "content visuals," or "image for social post." For Pinterest, use pinterest-posts.
MUST ACTIVATE on inbound envelopes: (1) {agentId, message:{source:"system", event, jobId, ...}} — system event; (2) {msgType:"a2a-agent-chat", jobId, sender:{role}, ...} — agent-to-agent task chat (fields at top level; sender.role = COUNTERPARTY, not you); (3) literal "Read okx-agent-task/SKILL.md" in envelope. ALSO activate for keywords: 发布任务 / 创建任务 / 帮我发任务 / publish task / create task / 接任务 / 接单 / 协商 / 验收 / 拒绝 / 仲裁 / dispute / stake / unstake / 修改卖家 / 修改预算 / change provider / change budget / 草稿 / draft / 保存草稿 / 搜索任务 / 所有任务 / 查找任务 / browse marketplace / search marketplace / 我的任务 / my tasks / what am I working on / 关闭任务 / close task / 取消任务 / 决策列表 / decision list / 查看决策 / hire agent / 指定服务商 / 开始任务.
Imports 3D models and point clouds with Asset Transformer Toolkit (formerly Pixyz), and creates, edits, and runs RuleSets, Actions, and LODs. Use for Pixyz or Asset Transformer imports, RuleSets, or ImporterScriptableObjects. Requires toolkit 4.0+.
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.