Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Sample-size and statistical power calculations for planning studies. Use whenever someone asks “how many subjects/samples/replicates do I need”, wants an a priori power analysis, a minimum detectable effect (MDE), a power curve, or needs to justify a sample size for a grant, IRB protocol, or pre-registration. Covers closed-form power for t-tests, ANOVA, proportions, correlations, chi-square, and regression, plus simulation-based (Monte Carlo) power for designs with no formula — logistic/Poisson regression, mixed models, cluster-randomized trials, survival, and interactions. Use this skill even when the request only mentions an effect size, alpha, or “80% power” without saying “power analysis” explicitly. For laying out the study (randomization, blocking, factorial/DOE, crossover, sequential designs) use experimental-design; for analyzing data already collected and reporting it use statistical-analysis.
Use when authoring or modifying a Datex Studio storage component (configurationTypeId=17, *-storage.json suffix) on a branch — cloud-persisted Mongo storage accessed via $db at function-tier. Owns the storage-vs-Footprint entity decision, column descriptor shape, the `required: true` read-then-patch trap (additive-only-after-shipping), additive evolution rules, and impact analysis before schema changes. Triggers: "create a storage", "add a column to xxx_storage", "options/config table", "rule table", "daily snapshot capture", "$db.update validation error after adding a required column", deciding between storage and Footprint entity.
Stripe payment integration with Node.js SDK. Covers Checkout Sessions, Payment Intents, Subscriptions, Customer Portal, webhooks, and Stripe Elements. Use when implementing checkout flows, payment processing, subscription billing, webhook handlers, or payment forms with Stripe Elements. Use for stripe, payments, checkout, subscriptions, billing, webhooks, payment intents, stripe elements.
Build, redesign, or visually refine product interfaces using project evidence, real content, functional states, and deliberate composition. Use for implementation work on websites, apps, dashboards, landing pages, or component systems. Do not use for read-only audits or logic-only changes.
Design or review product experiences through user goals, journeys, information architecture, task flows, interaction models, feedback, recovery, and cross-screen continuity. Use when the primary question is how users understand and complete a goal across steps or surfaces. Do not use for visual styling, implementation-only logic, or unsupported user-research claims
Automated retrospectives — captures learnings at EPIC completion and on manual invocation. EPIC-scoped retros embed a Retrospective section in the EPIC artifact. Cross-epic and time-based retros produce standalone retro docs. Triggers on: 'retro', 'retrospective', 'post-mortem', 'lessons learned', 'debrief', 'what worked', 'what didn't work', 'what did we learn', 'reflect', or automatically after EPIC terminal transitions.
Reviews SwiftUI code for best practices on modern APIs, maintainability, and performance. This skill should be used when the user asks to review SwiftUI code, check for deprecated iOS/macOS APIs, validate data flow patterns, or audit accessibility compliance in Swift projects.
Use this skill for JavaScript apps needing Excel-like UI using the Syncfusion Spreadsheet Component. Trigger for creating, viewing, editing Excel (.xlsx, .xls, .xlsb) and CSV files; embedding spreadsheet editors; data binding from APIs/JSON; using formulas, charts, validation, filtering, or conditional formatting. Also trigger when users reference spreadsheet files ("open xlsx", "load Excel file", "add Syncfusion spreadsheet", "bind data to spreadsheet"). Do NOT trigger for standalone file processing without UI components.
Install and configure Tailscale across platforms. Detects OS, distro, and environment (including WSL2 and containers). Verifies existing installations, performs platform-appropriate install, and guides initial connection. Use when setting up Tailscale on a new machine, onboarding a server to a tailnet, or verifying an existing install.
Type-safe, file-based routing for React with TanStack Router. Use when defining routes with createFileRoute, validating search params with Zod, writing route loaders, setting up auth guards with beforeLoad, integrating TanStack Query into loaders, or configuring router context and preloading.
Best practices for TanStack Start, the full-stack React framework built on TanStack Router and Vite/Nitro. Use when building server functions with createServerFn, setting up SSR and streaming with defer()/Await, writing API routes, configuring app.config.ts, or deploying a TanStack Start app to Node, Vercel, Netlify, Bun, or Cloudflare.
Color craft for agent-built interfaces: palette construction in OKLCH, the 60-30-10 discipline, one-accent rule, WCAG 2.2 contrast math, semantic tokens, color-blind-safe pairs, and dark mode mapping. Use whenever picking colors, building palettes, or reviewing UI color. Stack on the design-taste core skill
Generate your Team Performance Dashboard from your La Growth Machine data: a head-of-sales cockpit that ranks each sender (rep) on reply rate, your success event (signups/meetings/deals) and conversion, surfaces hot leads going cold, and turns your best reps' campaigns into a coaching playbook for the rest. Pulls only YOUR live LGM data into one sortable all-KPI team table plus a value (€) layer, classifies real replies, and renders a live artifact. This is the PER-REP team view, not the per-campaign weekly-performance-advisor. Use when a head of sales, SDR manager, GTM engineer or RevOps wants per-member outbound stats, who converts best and why, which replies are unanswered, or what to clone across the team. Triggers on: 'stats by member', 'team performance dashboard', 'per-rep outbound', 'who converts best', 'weekly team performance', 'sales team cockpit', 'coach my SDRs', 'per-identity reply rate'. First run does a short setup (~10-15 min); later runs just rebuild. Maintained by La Growth Machine.
This skill should be used when analyzing weekly price charts for stocks, stock indices, cryptocurrencies, or forex pairs. Use this skill when the user provides chart images and requests technical analysis, trend identification, support/resistance levels, scenario planning, or probability assessments based purely on chart data without consideration of news or fundamental factors.
Search The Pirate Bay for torrents and extract magnet links via the apibay.org JSON API. Use when asked to "find a torrent", "search pirate bay", "get a magnet link", "download torrent", "find seeders", "top torrents", or any torrent search task. Can operate via CLI tool or direct API calls.
Create, polish, and quality-check editable undergraduate or graduate thesis defense PowerPoint decks from a local thesis PDF/LaTeX project and an existing PPTX template. Use when the user asks for a formal defense PPT, thesis presentation, academic答辩PPT, template-matched PPTX, or local PowerPoint deck generation with visual inspection.
Evaluate whether Tom Cucuzza's two-factor bulk fermentation method (dough temperature plus percentage rise) applies cleanly to a given sourdough recipe, and if it does not, which direction the error swings (over- or under-fermentation) and what target to use instead. Use when given a sourdough recipe and asked whether Tom's method, the percentage-rise method, or the two-factor bulk fermentation method applies, or whether following it would over- or under-ferment.
Convert text posts into visual carousel images or presentations for Threads, Instagram, LinkedIn, TikTok, YouTube. 12 slide types (incl. image/emoji/number), 6 format presets (incl. 1920×1080 wide), 8 background styles (incl. ruled paper), 3-axis style system (font × color × purpose), highlighted keywords with optional italic-box style. Generates PNG or single-file PDF via Next.js preview + browser export. RU/EN toolbar. Triggers: threads carousel, instagram carousel, linkedin carousel, tiktok carousel, карусель, slides, carousel images, presentation deck, presentation pdf.
Configure AI features in TinyShip: chat (OpenAI, DeepSeek, Qwen), image generation (fal.ai, Gemini, Qwen), and video generation. Includes credit cost setup. Use when the user asks to "configure AI", "add AI chat", "set up image generation", "video generation", "AI provider", "add AI feature", or "configure AI credits".
Dense vector embeddings, semantic search, RAG pipelines, and reranking via Together AI. Generate embeddings with open-source models and rerank results behind dedicated endpoints. Reach for it whenever the user needs vector representations or retrieval quality improvements rather than direct text generation.
Design touch targets and pointer interactions that work for people with motor difficulties, tremors, limited dexterity, or who use assistive pointing devices. Use when designing buttons, links, form controls, mobile interfaces, or any clickable/tappable elements. Triggers on: touch target, tap target, button size, too small to tap, fat finger, motor disability, dexterity, tremor, pointer, click area, hit area, mobile buttons.
Use when authoring or modifying Datex Studio type definitions (configurationTypeId=22, *-customType.json suffix) on a branch — both interfaces (i_<name>) and enums (e_<name>) live in this single component type. Owns the interface vs enum decision, custom-type self-reference prohibition, UI-component enum FQN constraint (vars/inParams/outParams cannot use FQN to reference custom enums — declare as primitive instead), and the "tightening a previously-loose type ripples to consumers" impact rule. Triggers: "create an interface", "create an enum", "define a shared type", "add a property to i_xxx", "add a value to e_xxx", authoring types for flow inParams/outParams/objectTypeDef.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples
TMDL and PBIR validation, linting, and pre-deployment testing. PROACTIVELY activate for: (1) validating TMDL syntax before deploy, (2) validating PBIR schema, (3) catching TmdlFormatException / TmdlSerializationException early, (4) Best Practice Analyzer (BPA) rules and BPA CLI, (5) Tabular Editor BPA scripting, (6) PBI-Inspector / PBI-InspectorV2 / Fab Inspector, (7) PBIR JSON schema validation, (8) pre-deployment validation in CI, (9) fabric-cicd parameter.yml validation, (10) catching breaking changes between TMDL versions. Provides: BPA rule library, validation CLI commands, CI integration for validation, error catalog (TmdlFormatException, etc.), and a pre-deploy validation playbook.
Generate AI videos, images, voiceovers and music with one varg API key. Text- and image-to-video on Seedance 2.5, Kling 4, Veo 3.1 and Wan 3; images and edits on Nano Banana 2.1, GPT Image 2.6 and Flux 3; lip sync and talking avatars; ElevenLabs v4 voices; Lyria and Mureka music; captions and multi-scene renders to MP4. Use when someone asks to make or render a video, animate a photo, generate an image, create a UGC ad, product video, slideshow or talking head, add voiceover (text to speech), music, lip sync or captions, or mentions varg. Cloud mode needs only curl; local mode runs on bun + ffmpeg.
Build VS Code extensions from scratch or convert existing JS/React/Vue apps. Supports commands, webviews (React/Vue), custom editors, tree views, and AI agent integration via file-bridge IPC. Use when user wants to create a VS Code extension, convert a web app to an extension, add webviews or custom UIs to VS Code, implement tree views, build custom file editors, integrate with AI agents, or package/publish extensions (.vsix).
Use when writing, editing, or reviewing a single Vue 3 Single File Component (a `.vue` file with `<script setup lang="ts">`). Covers block order and template root, the compiler-macro order (defineOptions -> defineEmits -> defineModel -> defineProps -> defineSlots, defineExpose last), the ordering inside `<script setup>` (imports -> macros -> constants -> stores -> state -> composables -> computed -> watch -> lifecycle -> functions), function-vs-arrow style, prop and emit typing, v-model via defineModel, and scoped/module styling. Triggers on editing any `.vue` file, on defineProps/defineEmits/defineModel/defineSlots, on script-setup ordering questions, and on prop typing. Feature-level splitting: `vue-build-feature`; Flux UI library: `flux-ui`.
Turn the prompt supplied with this skill into a concise, auditable Codex Goal or explain why a Goal is not the right fit. Use when the user asks to draft, formulate, rewrite, tighten, or create a `/goal` from a plain-language task, especially for multi-step work that needs a durable objective, evidence-based completion, constraints, iteration policy, and a default adversarial review loop.
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.