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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 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.

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.

Turns a Notion PRD or feature spec into an implementation plan page and tasks, flagging open questions and linking spec, plan and tasks while tracking progress. From OpenAI's official plugin repo (developer: Notion); needs the Notion MCP connected.

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.

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 No longer maintained.

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.

Builds, refactors and debugs ChatGPT apps with the OpenAI Apps SDK: plans tools, scaffolds the MCP server and UI widgets, and checks the work against official docs. Maintained by OpenAI; formerly chatgpt-apps in openai/skills.

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.

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.

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.

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.

Hands your current browser session to the agent through a Chrome extension: read console logs and network requests, take screenshots, and run Lighthouse performance, accessibility and SEO audits without signing in again.

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.

Turns any folder into a Markdown task board: Claude Code or Codex break work into tasks with acceptance criteria for review before coding, managed from the terminal or a browser board. Works without Git for personal plans too. Runs locally with no account; needs Node.js or Homebrew.

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.

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.

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.

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.