Skills
97,501 packaged capabilities and playbooks for agents. Install any of them with one command.
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Iteratively improve any output until measurable criteria are met. Use when the user wants to refine existing work against specific standards — whether it's code, prose, data, config, or any other artifact. Triggers on phrases like "improve this", "make it better", "iterate", "refine", "keep improving", "not good enough yet", "optimize this", "polish this", "tighten this up", "ปรับปรุง", "ทำให้ดีขึ้น", "ยังไม่ดี", "แก้ให้ดีกว่านี้", "iterate ต่อ", or when the user provides criteria and wants repeated improvement until they're satisfied. Also use when the user gives feedback on output and expects you to keep refining, even if they don't say "improve" explicitly.
Query Argentina's IPC with the monthly inflation series from the Anduin API. Use when the user asks for "inflacion argentina", "ipc argentina", "inflacion mensual", "ultimo dato de inflacion", "serie historica de inflacion", "inflacion por fecha", "inflacion por periodo" or "variacion mensual ipc".
Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
Converts NetBox device-type and module-type definitions (the netbox-community devicetype-library format, also published via the NetBox Data Exchange / NDX) into Infrahub object templates as Infrahub object YAML, using a bundled Python converter driven by a schema mapping profile. TRIGGER when: importing NetBox device types or module types, exporting device types from a running NetBox instance, building object templates from vendor device models, converting line cards / PSUs / transceivers from NetBox module types into Template* objects, re-running a conversion after changing the mapping profile, debugging a wrong or failed conversion. DO NOT TRIGGER when: importing CSV/TSV data (use infrahub-importing-data), authoring schemas from scratch (use infrahub-managing-schemas), writing ordinary object data files (use infrahub-managing-objects), or setting up continuous two-way replication with a live NetBox (that is infrahub-sync, a separate product; a one-off export of device types is in scope here).
Use when the user mentions init-simple-memorix, too many or noisy Memorix hooks, project-level or global hooks configuration, missing Memorix MCP tools, full mode, WorkBuddy MCP startup failure, trust approval, Node argument compatibility, or re-trimming after setup or upgrade.
Set up self-hosted Inngest on macOS as a durable background task manager for AI agents. Interactive Q&A to match intent — from Docker one-liner to full k8s deployment with persistent state. Use when: 'set up inngest', 'background tasks', 'durable workflows', 'self-host inngest', 'event-driven functions', 'cron jobs', or any request for a local workflow engine.
Guides developers through running in-person, card-present sales and refunds through Payroc Cloud—the semi-integrated cloud-to-device API where a POS sends an instruction to the Payroc gateway and the gateway relays it to a physical payment device. Use this skill whenever the user mentions Payroc Cloud, “pay by cloud”, semi-integrated card-present payments, sending a sale/refund/signature to a terminal or card reader via the API, payment-instructions / refund-instructions / signature-instructions, polling an instruction, cloud device payments—even if they don't say “skill” explicitly. Covers the async submit → poll → follow-link → retrieve flow, idempotency, cancelling an in-progress instruction, referenced vs unreferenced refunds, reversals, signature capture, closed-loop reads, and finding a device serialNumber via GET /devices. Do NOT use this skill for card-not-present / e-commerce flows, for Hosted Fields, Hosted Payment Pages, or Payment Links (browser-based—separate skills), or for physically configuring or pairing a payment device (that is hardware setup, out of scope). If the user wants to set up or pair a device, say that is out of scope and that this skill picks up once a device serial number exists.
Meta-orchestration guide for choosing optimal reasoning patterns. Analyzes problem characteristics and recommends which cognitive methodology to use - tree-of-thoughts (find best), breadth-of-thought (explore all), self-reflecting-chain (sequential logic), or direct analysis. Use when facing complex problems and unsure which reasoning approach fits best.
Adds multi-language support to Next.js websites with proper SEO configuration including hreflang tags, localized sitemaps, and language-specific content. Use when adding new languages, setting up i18n, optimizing for international SEO, or when user mentions localization, translation, multi-language, or specific languages like Japanese, Korean, Chinese.
Adds multi-language support to Next.js websites with proper SEO configuration including hreflang tags, localized sitemaps, and language-specific content. Use when adding new languages, setting up i18n, optimizing for international SEO, or when user mentions localization, translation, multi-language, or specific languages like Japanese, Korean, Chinese.
ETS-JavaScript interop Promise bridging system in ArkCompiler. Use this skill when working on cross-language Promise conversion between ETS (ArkTS) and JavaScript, including JSConvertPromise Wrap/Unwrap, EtsPromise proxy creation, EtsPromiseRef bridging, CreatePromiseLink, OnJsPromiseCompleted callbacks, connectPromise, SettleJsPromise, PromiseInteropResolve/Reject, EtsAwaitPromise/AwaitProxyPromise, callback queue management, or any code under js_convert.h (Promise section), js_job_queue, ets_promise, ets_promise_ref, std_core_Promise.cpp, or PromiseInterop.ets. Also use when debugging cross-VM Promise state synchronization, coroutine suspension/resumption during await, or napi_deferred lifecycle issues.
Multi-agent investment research and analysis system by Tododeia. Use when the user wants market analysis, investment research, or a summary of current opportunities across crypto, stocks, forex, and commodities. Spawns 5 specialized research agents (4 sector + 1 strategy), adapts to user risk profile, tracks historical accuracy, and generates a branded interactive HTML report served locally. Educational analysis only — not financial advice. Trigger phrases: "investment analysis", "market research", "analyze markets", "investment opportunities", "what should I invest in", "market report", "tododeia", "investment advice", "portfolio recommendations", "run tododeia", "daily market analysis", "weekly report", "análisis de inversión", "analizar mercados", "reporte de mercado", "oportunidades de inversión".
Automatically organizes invoices and receipts for tax preparation by reading messy files, extracting key information, renaming them consistently, and sorting them into logical folders. Turns hours of manual bookkeeping into minutes of automated organization.
Provides comprehensive guidance for iOS development with Swift including view controllers, views, navigation, lifecycle, and iOS app development. Use when the user asks about iOS Swift, needs to create iOS applications, implement iOS components, or work with Swift in iOS.
Problem scoping with Is/Is-Not for 8D D2 problem description, CAPA investigation, or hypothesis elimination. Defines the precise boundary by contrasting what IS observed vs what IS NOT — eliminating hypotheses that don't fit the pattern. A Ford-originated automotive technique used in every structured quality investigation.
Run and validate an end-to-end Mission Control showcase with a locally installed Isaac Sim launched in its GUI window, driven through the isaac-sim-remote Python server, with Nova Carter SIL. Use for demos, showcase replays, Mission Control driving a simulated robot, or diagnosing the integrated small-warehouse scenario. Detect existing Isaac Sim installations without modifying them, automatically select a usable runtime without prompting whenever compatibility can be confirmed, and delegate requested installation or version changes to isaac-sim-installation. Defaults to a canonical Isaac 6.1 warehouse and deterministic circular route when the user does not specify another scenario.
AI-Native Issue-Driven development workflow. From GitHub Issue to merged PR: parse issue, explore codebase, design technical plan, execute with agent team, create PR, and cleanup. Use when a user wants to implement a GitHub Issue end-to-end: `/issue-flow #123` or `/issue-flow` to pick from open issues.
Respond to questions from Kant's perspective of pure reason, the moral law, and his critical philosophy. Use when the user explicitly asks for this figure's viewpoint, mentions "kant-perspective", or wants to apply his core method to analyze a problem; do not trigger automatically for general questions.
Ingest a source into the knowledge bundle. Use when the user wants to capture, ingest, file, process, or "add this" — a note, transcript, email, PDF, image, web page, or any raw source — into a knowledge/ bundle, or drops content for processing. Reads the source once, extracts its signal, and integrates it across the bundle under the trust model so knowledge compounds instead of being re-derived per query.
Portable OKF knowledge bundle for coding-agent memory and LLM wikis. Use when the user wants to start a wiki, ingest a source, document a repository, query project knowledge with citations, lint for drift, or visualize connections; whenever a repo has a knowledge/ bundle that should inform the task; and when another kb-* skill needs the shared spec, glossary, templates, or trust model.
Use this skill when creating, naming, renaming, or organizing skills in this repository. Always use it when you need to decide rules for skill directory names, propose names that follow the existing convention, organize skills so related entries stay close together, or distinguish local skills from external ones.
Turn content into complete slide files in official Kingdee style (.pptx or .html). Use this Skill when the user says 「做PPT」「做个PPT」「做汇报材料」「做演示文稿」「生成deck」「生成幻灯片」「整理成幻灯片」「按金蝶模板整理」「make a presentation」「create a slide deck」「output slides」「HTML幻灯片」「交互式演示」「网页版PPT」「web slides」, or uploads a .pptx/.docx asking to convert or reformat it into Kingdee style. Trigger whenever PPT, slides, briefing materials, or presentation output (in PPTX or HTML format) is involved.
Write and edit `.tsx` or `.jsx` for Kita Html instead of React. Use this whenever the user mentions Kita, KitaJS, `@kitajs/html`, `safe` attributes, `kita-html check`, `xss-scan`, `reply.html()`, `res.html()`, Suspense `rid`, async components that return HTML strings, or asks for JSX in a server-rendered templating context where JSX compiles to strings rather than a virtual DOM. Also use it when the project contains Kita config such as `jsxImportSource: "@kitajs/html"`, `@kitajs/html-cli` or `@kitajs/ts-html-plugin`, even if the user only says "TSX" or "JSX".
Operate Konnect AI Gateway request flow, provider/model routing, AI Proxy behavior, prompt/response controls, and LLM analytics. Use when the issue is inside AI Gateway, not generic prompt engineering, provider SDK debugging, or non-AI Gateway rollout.
**Business Korean-English/English-Korean translator**: a business-specialized translation skill supporting industry-specific terminology, politeness levels, and translation styles by document type. It provides translations suited to document types such as emails, contracts, proposals, and reports. - MANDATORY TRIGGERS: 번역, 영어 번역, 한영 번역, 영한 번역, translate, 비즈니스 번역, 이메일 번역, 계약서 번역, 통역
Author a Kotlin Toolchain local plugin to extend the declarative build with code generation, build-time processing, custom verification, custom packaging, or any behavior that `module.yaml` cannot express. TRIGGER when the user asks to write, author, create, design, or extend a Kotlin Toolchain plugin; when a Gradle-to-Toolchain conversion hits functionality with no native Toolchain equivalent; when the user references `@TaskAction`, `@Configurable`, `@Input`/`@Output`, `pluginInfo`, `plugin.yaml`, `jvm/amper-plugin`, `${pluginSettings}`, `${module.rootDir}`, `${taskOutputDir}`, `generated.resources`/`generated.sources`, or `commands:`; when designing a build-time processing step that `module.yaml` does not support. SKIP for general Kotlin Toolchain project work (use the `kotlin-toolchain` skill) and for Gradle-plugin ports (use the `gradle-to-kotlin-toolchain-plugin` skill).
Action-oriented architecture for Laravel. Invokable classes that contain domain logic. Use when working with business logic, domain operations, or when user mentions actions, invokable classes, or needs to organize domain logic outside controllers.
Monitors press, social media, developer communities, and competitor channels around a product launch—from any point in the launch window—tracking sentiment, flagging mischaracterizations, surfacing competitor responses, and recommending actions in real time. Covers press, Reddit, LinkedIn, JavaScript-heavy pages, and live community forums, triaging every signal by urgency. Delivers a Response War Room dashboard with a live signal feed, mischaracterization tracker, competitor response panel, and sentiment velocity chart. Use when asked to “monitor this launch”, “track the launch”, “what's being said about the launch”, “flag any mischaracterizations”, “competitor response to the launch”, “post-launch coverage”, “check press coverage for the launch”, or “what's the reaction to the announcement”. Do NOT use for ongoing brand monitoring unrelated to a launch—use brand-mention-monitor instead. Do NOT use for ongoing competitor intelligence unrelated to a specific launch window—use competitor-intel instead.
Researches and identifies potential customers, leads, and business opportunities for your product or service. Analyzes your offering, finds relevant companies and decision makers, provides contact information, and suggests outreach strategies. Use when looking for leads, researching target customers, identifying decision makers, or planning sales outreach.
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.