ツール

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.

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.

MagicPath's official Codex plugin from OpenAI's plugin marketplace: search and install UI components from MagicPath canvases, apply team themes, and move interfaces from local code onto the canvas to keep iterating. Needs a MagicPath account and Node.js.

OpenAI's official Codex plugin with about 50 skills that route questions to genetics, omics, pathway, protein structure, chemistry and clinical evidence sources, can split the work across parallel subagents, and synthesize sourced conclusions.

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.

Build with OpenAI best practices inside Codex: call the OpenAI API, build and deploy agents with the Agents SDK, create ChatGPT apps and prepare submission materials, and create API keys directly. Maintained by OpenAI; Codex only.

Adobe's official Codex plugin, listed in OpenAI's plugin marketplace: batch-edit and retouch photos by chat, build social graphics from Express templates, reformat landscape video into vertical shorts and search Creative Cloud assets. Try it as a guest; sign in for more features.

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 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.

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.

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.

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.

A more intuitive find-and-replace tool than sed: uses JavaScript/Python-style regex syntax, supports literal string mode and in-place file edits, which suits agents doing bulk text rewrites.

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.

Cleans a LaTeX project before arXiv submission: removes comments, auxiliary files and unused .tex files and images, and can compress images, so internal notes are not published with the source. From Google Research; installable with Homebrew on macOS.

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.

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.

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.

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.

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.

General guidance for building UI with Tailwind CSS: responsive and state variants, dark mode, sparing arbitrary values, components before @apply, and pitfalls such as dynamically built class names missing in production, with button and hero examples.

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.