Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Banner graphics for owned channels: website hero/section banner images, email header images, event and conference banners, sidebar house promos, and announcement bars, via Gemini 3.1 Flash image generation (default) or HTML/CSS. Covers standard sizes, Gemini ratios and cropping, CTA placement, responsive art direction, and email constraints. For paid display/IAB ads use ad-creative-design; for a coded above-the-fold section use hero-section; for a full email template use email-design. Trigger phrases: "design a banner", "create a website banner", "hero banner image", "email header", "event banner", "promotional banner", "web banner", "sidebar banner", "announcement bar", "Eventbrite banner".
Set up the Basic Memory plugin for this project — a short guided interview that configures the project mapping, seeds note schemas, learns or suggests placement conventions, and enables capture reflexes. Use when the user runs /basic-memory:bm-setup, says "set up basic memory", or asks to configure/bootstrap the plugin.
Создаёт memory bank проекта с нуля и выполняет его первичное заполнение. Используй только при явном вызове /bro-init-memory-bank, когда пользователь хочет создать новый банк знаний проекта. Не используй для пополнения существующего memory bank или сохранения отдельного проектного решения.
Maintain character consistency across AI-generated images with reference sheets and LoRA techniques. Covers turnaround views, expression sheets, color palettes, and style consistency techniques. Use for: character design, game art, illustration, animation, comics, visual novels. Triggers: character design, character sheet, character consistency, character reference, turnaround sheet, expression sheet, character art, consistent character, character concept, reference sheet, character creation, OC design, character bible
Generates Draw.io diagrams based on the current project or code. Supports four types: technology stack, system architecture, data structure, and E-R diagrams. Outputs a .drawio file in Draw.io syntax (mxGraph XML) that can be imported directly into Draw.io for editing. Use when the user mentions a technology stack, system architecture, data structure, or E-R diagram
Structured competitive analysis with feature matrices, SWOT, positioning maps, and UX review. Covers research frameworks, pricing comparison, review mining, and visual deliverables. Use for: market research, competitive intelligence, investor decks, product strategy, sales enablement. Triggers: competitor analysis, competitive analysis, competitor teardown, market research, competitive intelligence, swot analysis, competitor comparison, market landscape, competitor review, competitive landscape, feature comparison, market positioning
Compose look-and-feel traps: theme and colour tokens, artwork palettes, gradients and scrims, shimmer, glass and particle effects, animation, image loading, charts and stats displays (percent changes, shares, buckets). Use when a visual bands, pops, freezes or misleads.
Use to enable the Consumer Goods Cloud TPM Promotion Business Object (BO) API framework in a Salesforce org, interview the user for the custom Workflow Step they want to add, generate and deploy that Apex class, wire it into the create/update/copy workflows, and prove it end-to-end via headless REST ingest. Ships a worked reference example (SetCommentValue) but the customization is user-supplied per org. Triggers on \"deploy the promotion BO API\", \"set up promotion BO API\", \"headless promotion create\", \"add a BO API workflow step\".
An automated data exploration and visualization tool offering a complete EDA solution, from data loading to professional report generation. Supports multiple chart types, intelligent data diagnostics, model evaluation, and HTML report generation. Suitable for data analysis projects in healthcare, finance, e-commerce, and other fields.
Comprehensive dependency health auditing for JavaScript/TypeScript projects. Run npm audit, detect outdated packages, check for security advisories, and verify license compliance. Prioritises vulnerabilities by severity and provides actionable fix recommendations. Use when: auditing project dependencies, checking for vulnerabilities, updating packages, preparing for release, or investigating "npm audit" warnings. Keywords: audit, vulnerabilities, outdated, security, npm audit, pnpm audit, CVE, GHSA, license.
Vue adapter for the json-render devtools inspector. Use whenever the user wants to add, configure, or troubleshoot @json-render/devtools-vue in a Vue json-render app, including spec inspection, state editing, action and stream timelines, catalog browsing, or DOM picking.
Use this skill to diagnose Jetpack Compose stability problems by enabling and reading the Compose Compiler Reports (classes.txt, composables.txt, composables.csv, module.json). Covers the Gradle DSL, the release-only build requirement, and how to interpret per-class and per-composable stability annotations including stable, unstable, runtime, restartable, skippable, readonly, @static, and @dynamic markers. Use when the developer asks "why does this recompose", reports jank, dropped frames, slow scroll, high recomposition count, suspects an unstable parameter, mentions Compose Compiler Reports, classes.txt, composables.txt, module.json, or wants to know which composables are non-skippable. The fix lives in a sibling skill — this one only diagnoses.
Explain research, papers, or technical ideas in plain English with minimal jargon, concrete analogies, and clear takeaways. Use when the user says "ELI5 this", asks for a simple explanation of a paper or research result, wants jargon removed, or asks what something technically dense actually means.
When the user wants to reduce churn, build expansion revenue, automate customer success, or optimize net revenue retention. Also use when the user mentions “churn,” “retention,” “expansion revenue,” “upsell,” “NRR,” “net revenue retention,” “customer success,” “land and expand,” “closed-lost,” or “renewal.” This skill covers expansion and retention systems from usage triggers through automated customer success. Do NOT use for technical implementation, code review, or software architecture.
Discovers and exploits broken link hijacking by spidering a site (Burp Suite Spider, Scrapy, curl scraping), extracting referenced external scripts/domains, and checking DNS/CNAME records and domain registration status for expired or unclaimed resources an attacker could register. Use for subdomain takeover testing, supply-chain review of third-party scripts, or bug bounty hunting for hijackable external resources.
ADF + Microsoft Fabric / OneLake 2025 integration. Proactively activate for: (1) the Fabric Lakehouse connector in ADF, (2) the Fabric Warehouse connector in ADF, (3) OneLake shortcuts and cross-workspace data, (4) Invoke Pipeline activity for cross-platform orchestration (ADF -> Fabric, Fabric -> ADF), (5) copying data between ADF and Microsoft Fabric workspaces, (6) authenticating with Fabric workspace identity, (7) cross-platform parameter passing, and (8) hybrid ADF + Fabric pipeline patterns. Provides Fabric connector setup, Invoke Pipeline templates, OneLake shortcut patterns, and ADF-to-Fabric migration guidance
Generate a detailed `features.md` document from a `spec.md`, or sync changes between `spec.md` and `features.md` when either file is updated. Use this skill whenever the user wants to expand a product spec into a full feature list, asks to “generate features,” “create features.md,” “expand the spec,” “update features from spec,” or “sync spec and features.” Also trigger when the user has modified either file and wants to keep them in sync. Always use this skill when both files are in play together.
Fix Control renderer issues that UI5 linter reports but cannot auto-fix. Use this skill when linter outputs these rules: - `no-deprecated-control-renderer-declaration` - For missing renderer declaration, string-based renderer declaration, implicit renderer auto-discovery (removed in modern UI5) - `no-deprecated-api` - For missing apiVersion:2 in renderer objects, missing IconPool import when using oRm.icon(), deprecated rerender() override. NOTE: For Library.init() apiVersion errors, use fix-library-init instead. - `ui5-class-declaration` - For non-static renderer property in ES6 classes Trigger on: "missing a renderer declaration", "Deprecated declaration of renderer", "deprecated renderer", "apiVersion" (in renderer context), "IconPool", "rerender", "renderer must be a static property" Converts legacy renderer patterns to modern apiVersion: 2 format with proper module imports.
Fix deprecated control/class/interface/type issues that UI5 linter reports but cannot auto-fix. Use this skill when linter outputs: - `no-deprecated-api` with messages about deprecated class, interface, type, property, or property of class - Messages like "Use of deprecated class '...'", "Use of deprecated interface '...'", "Use of deprecated property '...'" Trigger on: deprecated control usage in JS `new` expressions, deprecated properties in constructor settings, deprecated interfaces/types in metadata, deprecated controls/properties in XML views, sap.m.MessagePage modernization to IllustratedMessage. Use this skill whenever you see 'deprecated class', 'deprecated property', 'deprecated interface', or 'deprecated type' in linter output, even if the user doesn't explicitly mention deprecation. Provides replacement guidance for deprecated UI5 controls and their properties.
Create distinctive, production-grade Flutter mobile & web UI with high design quality. Use this skill when the user asks to build Flutter screens, widgets, components, dashboards, or full apps. Generates creative, polished Dart/Flutter code that avoids generic AI aesthetics and follows Flutter/Material/Cupertino best practices.
🇺🇸 AI Product / SaaS Go-Global Complete SOP — A full-cycle playbook from competitor research to launch and monetization. Covers Phase 0-5 (market validation, positioning, first 100 users, user interviews, beta-to-growth), plus open-source launch, Product Hunt, Reddit, SEO/GEO, conversion, and organizational principles. Defaults to dev tools / OSS / B2B SaaS; launch channels and metrics differ for 2C products (education, apps, games) — see gingiris-seo-geo/references/2c-adaptation.md. 🇨🇳 AI 产品 / SaaS 企业出海完整 SOP — 从竞品调研到 Launch 到商业化的全流程操作手册。覆盖 Phase 0-5（市场验证、定位、前100用户、用户访谈、Beta转增长）+ 开源发布、Product Hunt、Reddit、SEO/GEO、转化与组织原则。**默认面向开发者工具/开源/B2B SaaS；2C 产品（教育/应用/游戏）的启动渠道与指标不同，见 gingiris-seo-geo/references/2c-adaptation.md。** 🇯🇵 AI製品/SaaS海外展開フルサイクルSOP — 競合調査からローンチ、マネタイズまで。Phase 0-5（市場検証、ポジショニング、最初の100ユーザー、ユーザーインタビュー、ベータから成長）＋オープンソース、Product Hunt、Reddit、SEO/GEO、コンバージョン、組織原則。 🇰🇷 AI 제품/SaaS 글로벌 진출 완전 SOP — 경쟁사 조사부터 런칭, 수익화까지 전 주기 플레이북. Phase 0-5(시장 검증, 포지셔닝, 첫 100명 사용자, 사용자 인터뷰, 베타→성장) + 오픈소스 런칭, Product Hunt, Reddit, SEO/GEO, 전환, 조직 원칙. Triggers: “go global” | “出海” | “overseas expansion” | “GTM” | “cold start” | “launch strategy” | “international expansion” | “海外增长” | “出海SOP” | “product launch overseas” | “海外进出” | “グローバル展開” | “글로벌 진출” | “go-to-market” | “出海打法”
Git 2.49-specific features and performance improvements. Proactively activate for: (1) the new git-backfill command for partial clones, (2) path-walk API improvements, (3) zlib-ng integration for faster compression, (4) reftables backend stabilization, (5) revision-walk performance, (6) bundle URI improvements, (7) sparse-checkout enhancements in 2.49, (8) git maintenance defaults in 2.49, and (9) credential helper updates. Provides a 2.49 changelog summary, git-backfill recipes, performance comparisons with 2.48, and migration notes for users upgrading from 2.40+
Use when auditing or recalibrating game balance: build a source-driven Monte Carlo balance lab (Rust + rayon) that extracts live game data, simulates human playstyles (AFK→pro), emits win-rate/economy verdicts with confidence intervals, and bruteforce-tunes parameters. Trigger on unfair levels, unreachable shops, farm exploits, interest-curve cliffs, post-content recalibration, or CI balance JSON diffs. Keywords: balance lab, Monte Carlo, win rate, difficulty curve, economy career, playstyle simulation, Resource extraction, GDScript parser, bruteforce tuning.
Take an agent-written app from repo to live production on the user's OWN accounts, with providers they choose (hosting, database, auth, payments, email, domain/DNS). The human connects accounts and approves changes; supported wiring operations run through a local CLI and produce verification evidence with explicit limits. Use when the user wants to ship, deploy, go live, launch, publish, or put their app online, or asks to wire up env vars, webhooks, auth settings (signup, email confirmation, password policy), a real signup → confirmation email → login journey, password recovery, account isolation between two users, auth redirects, email DNS or a custom domain.
Direct production with Google DeepMind's Veo video-generation family across the Gemini Developer API and Google Cloud Gemini Enterprise Agent Platform (formerly Vertex AI). Use for Veo route and model selection, text/image/reference/first-last-frame/extension workflows, native-audio prompting, camera direction, async API operation, troubleshooting, QA, and responsible commercial content production.
Run systematic growth experiments to increase acquisition, activation, retention, and revenue. Use when optimizing conversion funnels, running A/B tests, improving metrics, or when users mention growth, experimentation, optimization, or scaling user acquisition
Implements complete GTM tracking, including dataLayer events in code and GTM configuration via API. Use when users need to “implement GTM tracking,” “add dataLayer events,” “create GTM variables and tags,” “set up CTA tracking,” “implement event tracking,” or execute a tracking plan. Automatically handles both code implementation (dataLayer.push) and GTM container configuration (variables/triggers/tags) via API. Supports incremental updates and framework-specific patterns (React, Next.js, Vue, etc.).
A general methodology for Web API data collection and frontend signing issues. Use this Skill whenever a task involves capturing API requests or writing Node/Python protocol code; sign/token/dynamic Cookie/custom headers; locally generated values rejected by the server; HTTP 200 with a business error or empty data; working in the browser but not locally; SDK or API changes that break things; obfuscation/JSVMP/WASM/environment emulation/Hook/instrumentation; or parameter tracing and version archiving—even if the user does not mention “reverse engineering.” Includes Camoufox MCP for evidence collection and delivers verifiable collection programs with pagination, resumable collection, and regression testing after changes. For owned or authorized APIs only; use the relevant mini-program skill for WeChat mini-program wxapkg unpacking
Create polished HTML technical reports and multi-page documents for consulting deliverables. Features a professional design system with dark cover pages, warm cream content pages, Switzer + Cartograph CF typography, and a curated component library (KPI cards, data tables, callout boxes, recommendation cards, priority banners). Outputs standalone HTML that prints cleanly to PDF.
Analyze candidate models before adapter implementation. Determine model implementation source (transformers or model-local), structural features, layer-by-layer loading requirements, and MoE fused weight risks. Use this skill when the user wants to: (1) assess model adaptation feasibility before creating msModelSlim adapters, (2) analyze model structure and type classification, (3) evaluate MoE compatibility for quantization. Trigger: user mentions "model analysis", "msModelSlim", "adapter", "transformers", "MoE", "layer-by-layer", "model assessment", "feasibility", "模型分析", "适配可行性", "模型评估", "MoE分析"
Drive ARKit-blendshape-rigged head/face models in Unity with the wearer's facial expressions on Meta VR via Meta Movement SDK (face tracking + A2E). Use when a user has an FBX with the 52 ARKit blendshapes (any prefix, _L/_R suffixes) and wants it to animate from face tracking on Quest Pro / Quest 3 / Quest 3S.
Deep-scan any tools you connect (CRM, email, support, reviews, analytics, billing, database) to produce a data-grounded Ideal Customer Profile and a reusable persona library. Read-only by default. Use when you need to define or refresh your ICP, build buyer personas from real data instead of guesses, or generate the persona inputs that the customer-panel-of-experts and prospect-panel-simulator skills consume.
Use when the user wants to design, redesign, shape, critique, audit, polish, clarify, distill, harden, optimize, adapt, animate, colorize, extract, or otherwise improve a frontend interface. Covers websites, landing pages, dashboards, product UI, app shells, components, forms, settings, onboarding, and empty states. Handles UX review, visual hierarchy, information architecture, cognitive load, accessibility, performance, responsive behavior, theming, anti-patterns, typography, fonts, spacing, layout, alignment, color, motion, micro-interactions, UX copy, error states, edge cases, i18n, and reusable design systems or tokens. Also use for bland designs that need to become bolder or more delightful, loud designs that should become quieter, live browser iteration on UI elements, or ambitious visual effects that should feel technically extraordinary. Not for backend-only or non-UI tasks.
UI interaction design patterns for skeleton loading, infinite scroll with accessibility, progressive disclosure, modal/drawer/inline selection, drag-and-drop with keyboard alternatives, tab overflow handling, and toast notification positioning. Use when implementing loading states, content pagination, disclosure patterns, overlay components, reorderable lists, or notification systems.
Export a Jinkō computational model to SimBiology, apply its exported simulation settings in MATLAB, and compare selected time series with Jinkō simple_solve results. Use this skill whenever the user wants to transfer a Jinkō model to MATLAB/SimBiology, validate an Excel-based SimBiology export against Jinkō, reproduce a Jinkō simple solve in SimBiology, or investigate divergence between the two solvers. Use it even when the user gives only a model short ID or link and asks for a SimBiology comparison.
Convert a NONMEM run into a Jinkō trial set-up via the jinko-sdk. Use this skill whenever the user wants to import, translate, port or migrate a NONMEM model, control stream, .mod/.ctl/.lst file, .ext estimates, .phi individual estimates or a NONMEM data set into Jinkō, or asks to reproduce a published population-PK model that exists as NONMEM code. Emits the computational model, virtual population, protocol design and output set, checks the result numerically against a declared reference, and can publish the evidence as a Jinkō document. Use jinko-model to author a model from scratch, jinko-protocol to edit an existing protocol, jinko-vpop to edit a population, and jinko-calibration-cmaes to fit parameters.
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.