Skills
101,174 packaged capabilities and playbooks for agents. Install any of them with one command.
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Diagnose and remediate cluster-wide HyperPod (EKS or Slurm) problems — creation / deployment failures (CloudFormation, EFA health check, lifecycle scripts, capacity), EKS access, node replacement, CloudFormation nested-stack errors, post-maintenance rollback state, dangling nodes, autoscaler conflicts. Includes `--validate` pre-flight. Read-only.
Get option chain data from Interactive Brokers for equities, ETFs, and futures (FOP), including calls and puts with strikes, bids, asks, volume, implied volatility, and model Greeks. Use when user asks about options using IBKR data, futures options (NQ/ES/CL/GC...), or needs real-time option quotes from their broker. Requires TWS or IB Gateway running locally.
Craft high-quality natural-language image prompts for any modern text-to-image or image-edit model that accepts flowing English. Trigger when the user wants help writing, rewriting, improving, or translating an English natural-language image prompt — including "write me an image prompt", "improve this image prompt", "describe this scene for an image model", or "convert these tags into a natural language prompt". Do NOT trigger for requests that are purely about dispatching to an image API, choosing samplers/schedulers, picking LoRAs, or setting up ControlNet — those belong to a runtime skill.
Audits a website codebase and makes code changes so AI engines (ChatGPT, Claude, Perplexity, Google AI Overviews) can better discover, parse, quote, and cite the site. Covers structured data, content structure, technical signals, and freshness.
Design intuitive, meaningful interactions grounded in user goals and cognitive principles. Use when designing component behaviors, user flows, feedback systems, error handling, loading states, transitions, accessibility, keyboard navigation, touch/gesture interactions, or when evaluating interaction quality. Also use for modal vs modeless decisions, direct manipulation patterns, input device considerations, emotional/dramatic aspects of UX, or when asked about making interfaces feel responsive, humane, and goal-directed.
One-on-one interactive learning system based on Benjamin Bloom's 2 Sigma problem theory. Adaptive teaching — gauges mastery from the student's answers and automatically moves on or supplements, never skipping content that has not been mastered. Supports student profiles, post-lesson discussion, and final assessment. Trigger words: "打开交互式学习系统", "打开交互式学习", "交互式学习", "我想学 X", "继续学 X", "继续学", "学完 X 了". Do not undertrigger — if the user says they want to learn something, continue a lesson, or open the learning system, this skill must be invoked. When the user says "继续" but the context is unclear, first check whether `.learning-config.json` exists in the current working directory, and if it does, trigger this skill.
Implement a Juspay payment integration in the codebase from a jp-prd PRD and a jp-architecture design + task-checklist. Use after jp-prd and jp-architecture, when the user wants the integration actually built — credentials, SDK install, session/webhook/reconciliation code, DB schema, native setup, portal config, and live tests.
Kubb (OpenAPI / Swagger code generator) reference. kubb.config.ts, plugins for generating TypeScript types, TanStack Query hooks, Zod, Faker, and MSW mocks; Fetch / Axios / SWR / React Query clients; plugin-client (custom client). CLI 8 commands, extension registry (kubb add), Kubb Studio, Kit (kubb/kit), parser-ts / parser-md, adapter-oas, diagnostics, plugin base, monorepo support. For TanStack Query’s own API, use the tanstack-query skill.
Use when creating or developing Laravel features, before writing code or implementation plans - refines rough ideas into fully-formed Laravel designs through collaborative questioning, alternative exploration, and incremental validation.
Fix or build responsive layout: page shells, grids, card layouts, sidebars, breakpoint strategy, container queries. Use when the user says 'this breaks on mobile', 'the layout is messy', 'things don't line up', 'our spacing is inconsistent between sections', 'make this responsive', 'center this properly', or asks for a dashboard/page/grid layout. Inspects existing CSS for layout smells (fixed widths, absolute positioning, media-query sprawl), then produces working layout code — refactored CSS/JSX with Grid/Flexbox decision rules applied, breakpoints derived from content, and a responsive verification checklist. Hands off pure spacing-token questions to design-foundation and text-readability questions to typography-system.
Framework-independent LLM serving benchmark skill for comparing SGLang, vLLM, TensorRT-LLM, TokenSpeed, or another serving framework. Use when a user wants to find the best deployment command for one model across multiple serving frameworks under the same workload, GPU budget, and latency SLA.
When the user wants to create local SEO reports, track local ranking performance, set up reporting dashboards, or communicate results to clients. Also use when the user mentions "local SEO report," "client reporting," "local metrics," "KPIs for local," "GBP insights," "how to measure local SEO," or "prove ROI on local." For geogrid-specific analysis, see geogrid-analysis. For competitor benchmarking, see local-competitor-analysis.
Review Chinese-to-English translations for accuracy, grammar, terminology, and consistency. Produces a structured review report with prioritized issues. Trigger when: user provides a Chinese document and its English translation for review/checking/proofreading, or mentions "翻译检查", "翻译审校", "translation review", "translation check", "proofread translation".
macOS development environment setup wizard. Interactive Q&A to collect preferences, auto-detect installed software, generate customized installation plan. Supports presets: fullstack, frontend, backend, data, devops. Triggers: /new-macos-setup, macos setup, dev environment, new mac
Answer any question a person has about manifest-dev, with the why behind it: what it is for, its workflow and the autonomy ladder, each term a user meets (Manifest, Acceptance Criterion, Global Invariant, verification harness, recipe, ask-first, Lock, Debt, Ticket and the rest), how the parts relate, why each part exists, the practices it encodes, and what a Manifest, a run report, a pull request section or a file the workflow wrote means. Use when the user asks what something in manifest-dev is, why it works that way, how its skills relate, or where to start. Not for help with the user's own task.
This skill should be used when analyzing recent market-moving news events and their impact on equity markets and commodities. Use this skill when the user requests analysis of major financial news from the past 10 days, wants to understand market reactions to monetary policy decisions (FOMC, ECB, BOJ), needs assessment of geopolitical events' impact on commodities, or requires comprehensive review of earnings announcements from mega-cap stocks. The skill automatically collects news using WebSearch/WebFetch tools and produces impact-ranked analysis reports. All analysis thinking and output are conducted in English.
Use when running SEO audits, keyword research, content planning, or fixing technical SEO issues. Covers technical audits (Core Web Vitals, crawlability, structured data, robots/sitemaps/canonicals, mobile, security, internal linking), SEO strategy (keyword research, content planning, competitive analysis, E-E-A-T), link building, local SEO, international SEO (hreflang), and multi-platform SEO (Google, YouTube, Reddit, social). Updated for February 2026.
Converts documents to Markdown with Microsoft MarkItDown (Python API, markitdown CLI, markitdown-ocr plugin, markitdown-mcp server), covering PDF, Word, PowerPoint, Excel, HTML, CSV, EPUB, ZIP, and streams, plus Azure extraction. Use when preparing papers or reports for LLM/RAG ingestion; when batch-converting a literature folder to Markdown with provenance; when converting uploaded bytes or file streams; when OCR of scanned PDFs or image text is needed; when exposing conversion to a local agent through MCP. Do not use for bounding boxes or page coordinates (use LiteParse) or PDF merge/split/forms (use the pdf skill).
Use when MATLAB code is too slow or the user wants it faster, or asks to profile it, find its hot line or where the time goes, count how many times a function runs, or benchmark or compare timings. Profiles before changing code (Sampling Profiler on R2026b+), checks the output against the original, and reports only measured speedups. Not for writing performance tests.
Entry point for everything MegaLinter. Use when the user wants to lint their repository, set up MegaLinter, check or fix lint errors, make CI lint jobs pass, or says "run megalinter", "fix lint errors", "make the linters happy", "clean up code quality". Detects the repository state and orchestrates the megalinter-setup, megalinter-check and megalinter-fix skills in a loop until the repository is clean.
Collect MegaLinter lint errors for the current repository. Use when the user wants to know if the code passes linting, why the MegaLinter CI job fails, or before/after fixing lint errors. Two modes - watch a CI job (GitHub Actions, GitLab CI, Azure Pipelines, Bitbucket Pipelines) and parse its logs, or run MegaLinter locally with Docker (full run or fast parallel standalone linter runs).
Install or upgrade MegaLinter on a repository. Use when the user wants to add MegaLinter to a project, set up linting CI, update MegaLinter configuration or version, or says "install megalinter", "setup linting", "add code quality checks", "update megalinter skills". Always goes through npx mega-linter-runner (--install or --upgrade), then refines .mega-linter.yml. In upgrade mode it also refreshes the installed MegaLinter skills and sub-agents. Also sets up a MegaLinter custom flavor repository when the user explicitly asks for one.
Use when the user says 'migrate beaver builder to gutenberg', 'convert beaver builder to blocks', or 'move beaver builder to the block editor'. Reads the Beaver Builder flat node map, maps modules to core blocks, and creates draft duplicates for review.
Use when the user says 'migrate elementor to breakdance', 'convert elementor to breakdance', or 'rebuild elementor pages in breakdance'. Maps Elementor widgets to Breakdance elements and creates draft duplicates for review.
Use when the user says 'migrate elementor to bricks', 'convert elementor to bricks', or 'move my site from elementor to bricks'. Reads the Elementor JSON widget data, maps each widget to its Bricks equivalent, and creates draft duplicates with clean Bricks JSON.
Use when the user says 'migrate oxygen to breakdance', 'convert oxygen to breakdance', or 'replace oxygen with breakdance'. Maps Oxygen Builder component trees to Breakdance elements and creates draft duplicates for review.
Use when the user says 'migrate thrive architect to gutenberg', 'convert thrive to blocks', or 'replace thrive architect with native wordpress'. Parses Thrive Architect content, maps elements to core blocks, and creates draft duplicates for review.
Use when the user says 'migrate wpbakery to gutenberg', 'remove wpbakery', 'get rid of visual composer', or 'decommission wpbakery'. Parses WPBakery shortcodes, maps elements to core blocks, and creates draft duplicates for review.
Makes a minimal black-and-white line-art animation for a reel. Thin outlined steps rise one by one, a white dot hops up them, and at the top an orbit draws around it and a short second line swaps in. One quiet lowercase line of text on top. Use when the user runs /minimalistic-graphics or asks for simple black and white motion graphics, a calm self-improvement visual or line art with one moving dot.
Generate videos from text prompts or animate static images using ModelsLab's v7 Video Fusion API. Supports text-to-video, image-to-video, video-to-video, lip-sync, and motion control with 40+ models including Seedance, Wan, Veo, Sora, Kling, and Hailuo.
MSW (Mock Service Worker) best practices for API mocking in tests (formerly test-msw). This skill should be used when setting up MSW, writing request handlers, or mocking HTTP APIs. This skill does NOT cover general testing patterns (use test-vitest or test-tdd skills) or test methodology.
Multi-tenant architecture patterns. Database-per-tenant, schema-per-tenant, shared-schema with tenant ID, row-level security, tenant resolution, and data isolation. USE WHEN: user mentions "multi-tenant", "multitenancy", "SaaS architecture", "tenant isolation", "row-level security", "tenant ID", "subdomain routing" DO NOT USE FOR: general database design - use database skills; authentication - use auth skills
End-to-end Cursor IDE restart on the user's MacBook: snapshot metrics, kill ALL Cursor processes, relaunch Cursor, report before/after memory. Recovers from the known renderer memory leak that makes Cursor lag. Manual-only — run ONLY when the user explicitly invokes it (/nuke-cursor-app, "nuke cursor"). Differentiator: kills the Cursor desktop app; cursor-cli sessions are unrelated.
Analyze occupational health data, identify work-related health risks, assess occupational health status, and provide personalized occupational health advice. Supports correlation analysis with other health data such as sleep, exercise, and mental health.
Create designs in chat (posters and flyers, social posts and carousels, slide decks, landing pages, prototypes, dashboards, components) using Open Design's bundled design skills and ready-made design systems, then check and export them as PDF, PNG, or PowerPoint. Use whenever the user asks to design, build, mock up, or generate something visual — a poster, flyer, Instagram post, pitch deck, landing page, dashboard, prototype, or marketing page — even if they don't explicitly mention “Open Design”.
OpenAI API (developers.openai.com) Agents SDK (Python / TypeScript) and Agents API (beta). Agent, Runner, handoffs, guardrails, tracing, SandboxAgent, client.beta.agents sessions / environments / vaults / plugins, built-in tools (web search, file search, computer use, code interpreter, image generation), function tools, vector stores, MCP (Model Context Protocol) connectors, background mode, and multi-agent orchestration.
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.