Herramientas

OpenAI's official set of 18 web data visualization skills: chart selection and critique, D3, Canvas, Three.js, maps, statistical uncertainty, live dashboards, Gantt charts, UML and scrollytelling. Ships with a Codex plugin; installed alone, the plugin-level references are missing.

OpenAI's official life-science skills: 49 skills query public databases such as UniProt, ClinVar, gnomAD and AlphaFold through Python scripts, with a router skill that breaks down questions, normalizes entities and compiles sourced evidence. Written mainly for Codex.

OpenAI's official Codex plugin marketplace (openai-curated) with 60+ plugins such as Figma, Notion, GitHub, Stripe and Vercel, each bundling skills, MCP servers and app connections into one install.

OpenAI's official Codex plugin with 18 skills to choose, design, build, test and export web charts, maps, dashboards, Gantt charts and UML, using D3, Vega-Lite and Three.js with attention to accessibility and responsiveness. Codex only.

Creates, edits and validates reproducible Python and SQL Jupyter notebooks: organizes cells as reports or tutorials, checks conclusions against actual output and reruns top to bottom before handoff. Maintained by OpenAI in the Data Analytics plugin of openai/plugins.

OpenAI's official Codex plugin for answering product and business questions with data: metric anomaly diagnosis, KPI design, market sizing, dashboards and reports, notebooks and data quality checks. Connects to data warehouses and BI tools.

Scrapes web pages into Markdown or structured data, with full-site crawling, sitemaps, web search and interaction with dynamic pages. Maintained by Firecrawl; the cloud needs an API key (self-hosting is possible), and the keyless hosted endpoint only offers scrape, search and parse.

Lets agents operate Home Assistant: control devices, query state and history, create and debug automations and edit dashboards, with 80+ tools. Community-maintained (unofficial); requires your own Home Assistant instance, and running via uvx needs a long-lived access token.

Anthropic's reference implementation for finding and fixing vulnerabilities: Claude Code skills for threat modeling, static scanning, triage and patching, plus an autonomous recon-to-patch pipeline (C/C++ memory bugs by default; needs Docker and gVisor). No longer maintained.

Manage Kubernetes clusters in natural language: translates intent into kubectl operations and runs them, and can serve as an MCP server for other agents. Uses Gemini by default (API key required) and also supports OpenAI and local models. Maintained by Google Cloud.

Tw93's lean pack of engineering-habit skills: /think to pressure-test plans, /hunt for root causes, /check to review diffs, /ui for frontend interfaces, /write to polish Chinese and English prose, and more (8 skills). Works with both Claude Code and Codex.

Turns a theme, a line, an article or photos into a minimal, whitespace-heavy indie-zine portrait poster, and can distill reusable style rules and prompts from reference images, with built-in quality checks. Needs host image generation (e.g. Codex); otherwise outputs prompts only.

Converts raster images like JPG and PNG to SVG, handling color tracing, black-and-white line art and unevenly lit scans, for vectorizing logos, illustrations and old drawings. The CLI is a 1.0 preview installed with cargo (needs Rust); a desktop app is also available.

Builds or debugs interactive 3D web scenes with Three.js: scene, camera, renderer, lights, materials, GLTF loading and controls, plus performance basics like capping pixel ratio, handling resize, disposing WebGL resources and reduced motion.

Implements 2D physics interactions with Matter.js: a minimal Engine, Render and Runner setup with bodies, optional mouse drag constraints and SPA cleanup steps, asking about canvas size and renderer when specs are missing.

Adds a lightweight interactive WebGL globe with the cobe library: canvas sizing for device pixel ratio, location markers, rotation in onRender, resize handling and teardown, for plain pages or React/Next.js hero sections.

Steers WebGL-heavy landing pages toward a chosen look by picking one of four visual lanes per page type, passing message, performance, accessibility and reliability gates, and outputting a lane, visual spec, stack, fallback and build order.

Reveals headings and short copy word by word through an overflow mask as they scroll into view, using GSAP ScrollTrigger and a split helper that avoids the paid SplitText plugin, with aria-label, reduced-motion support and React cleanup.

Adds scroll-reveal animations that fire when elements enter the viewport, using an IntersectionObserver snippet plus keyframes and a Tailwind arbitrary animation class; tune threshold, rootMargin, duration, delay and play-once behavior.

Guides the agent to build a coherent, product-grade web motion system in the style of Stripe, Linear, Apple and Vercel: reusable primitives, duration and easing defaults, stagger choreography, scroll and hover patterns, performance rules and reduced-motion support.

Has the agent use Iconify Simple Icons brand marks instead of typed company names in logo rows, integration grids and partner lists, sized in a 64x64 box, monochrome by default, grid-aligned and labeled for accessibility when needed.

Designs or rewrites a single-offer, high-converting landing page for SaaS, apps or services: gathers the primary action, audience, objections and proof, then lays out hero, argument and objection-handling sections with copy templates and SEO/AEO notes.

Gives the agent three exact Tailwind arbitrary-value shadow utilities (sm, md, lg) for layered, neutral elevation on cards, controls, popovers and hero media, with rules against mixing them with default shadows, tinting or stacking.

Turns a fuzzy UI idea into a design-first prompt spec for UI generation: goal, format, layout, type system, color, imagery, exact copy, constraints and negative prompt, then iterates by changing one variable at a time.