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OpenAI's official data analytics skills: data quality assessment, KPI design, metric anomaly diagnosis, dashboards and analysis reports, market sizing and notebooks. Ships with a Codex plugin; some skills depend on its runtime.

OpenAI's official Codex plugin that guides sequencing analysis from BCL/FASTQ: QC, RNA-seq differential expression, single-cell, variant calling and metagenomics, favoring nf-core and other public pipelines with reproducible run logs. Checks for local tools first. Research use only.

OpenAI's official Codex plugin that starts from a brief, product shots or references to generate marketing concepts, mood boards, product scenes, ad directions and social assets, compared and iterated on a reviewable board. Works with Figma and Canva.

Figma's Codex plugin in OpenAI's official marketplace: implements UI from designs, generates Code Connect mappings, and creates or updates pages, component libraries, FigJam diagrams and slides in Figma. Needs a connected Figma account.

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 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.

Canva's official skill (OpenAI plugin directory): translates all text in a Canva design into another language and saves a copy, leaving the original intact. Useful for multilingual marketing. Needs a Canva account and the Canva MCP; longer text may need layout tweaks.

Security scans for a whole repo or for changes like PRs and commits, with threat modeling, vulnerability triage, fixes and re-verification; reports export to JSON, SARIF and more. OpenAI's official Codex plugin; requires Codex Security access.

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.

Open-source LLM evaluation platform: one opencompass command picks the model and datasets and runs the evaluation across hundreds of benchmarks. Works with local Hugging Face models and API models, with vLLM and LMDeploy for faster inference.

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.

Converts and two-way syncs Jupyter notebooks with plain Python scripts or Markdown, so agents can edit research and teaching notebooks like ordinary text and diffs stay readable. Needs a local Python environment; install with pip.

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.

Adds thin vertical guide lines at the content container edges plus small corner squares for a measured, structured layout, with CSS tokens and pseudo-element code that keeps guides behind content and out of pointer events.

Builds seamless infinite marquees for logos, testimonials, screenshots or tags by duplicating the item sequence and translating the track from 0 to -50%, with stable widths, faded edges, optional hover pause and reduced-motion handling.

Creates a layered progressive blur at the top or bottom edge of the viewport by stacking backdrop-filter layers with gradient masks, with ready-to-paste HTML and CSS and knobs for height, blur steps, direction and z-index.

Builds cinematic, scroll-driven product storytelling with GSAP ScrollTrigger: pinned scenes, scrubbed timelines, progressive UI reveals and section handoffs, with cleanup in React, simpler choreography on small screens and readable copy and CTAs.

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.

Helps the agent add or debug web animations with GSAP: tweens, timelines and position parameters, easing, stagger and ScrollTrigger pin and scrub, plus fixes for jank, cleanup with gsap.context() in React and refreshing after images load.

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.

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.

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.