Agent Skills

huggingface-llm-trainer

✓★ 4,081

by openai

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging Face Jobs infrastructure. Covers SFT, DPO, GRPO and reward modeling training methods, plus GGUF conversion for local deployment. Includes guidance on the TRL Jobs package, UV scripts with PEP 723 format, dataset preparation and validation, hardware selection, cost estimation, Trackio monitoring, Hub authentication, and model persistence. Should be invoked for

zoom-meeting-sdk-macos

✓★ 4,081

by openai

Zoom Meeting SDK for macOS native apps. Use when embedding Zoom meetings in macOS with default/custom UI, PKCE + SDK auth, host start/join flows, and desktop meeting feature controllers.

meeting-scheduler

✓★ 4,081

by openai

Handles end-to-end meeting scheduling using the Superhuman Mail MCP server — from finding available times to sending the invite or proposing times via email. Use this skill whenever someone asks to "schedule a meeting with [person]", "find a time to meet", "book a call", "set up a meeting", "when am I free to meet with [person]", "propose times to [person]", "send my availability", "create a meeting invite", "schedule a 1:1", "find overlap in our calendars", "reschedule my meeting with [person]"

build-zoom-meeting-sdk-app

✓★ 4,081

by openai

Use when using Meeting SDK.

mixpanelyst

✓★ 4,081

by openai

This skill should be used when the user asks about Mixpanel product analytics, event data, funnel analysis, retention curves, cohort analysis, segmentation queries, user behavior, conversion rates, churn, DAU/MAU, ARPU, revenue metrics, feature adoption, A/B test results, user paths, flow analysis, or any request to query, explore, visualize, or analyze Mixpanel data using Python. Also use when the user asks to read, write, or manage Mixpanel "business context" — the markdown documentation that

native-data-fetching

✓★ 4,081

by openai

Use when implementing or debugging ANY network request, API call, or data fetching. Covers fetch API, React Query, SWR, error handling, caching, offline support, and Expo Router data loaders (`useLoaderData`).

nemoclaw-user-get-started

✓★ 4,081

by openai

Installs NemoClaw, launches a sandbox, and runs the first agent prompt. Use when onboarding, installing, or launching a NemoClaw sandbox for the first time. Trigger keywords - nemoclaw quickstart, install nemoclaw openclaw sandbox, nemohermes quickstart, hermes agent nemoclaw, run hermes openshell sandbox, nemoclaw prerequisites, nemoclaw supported platforms, nemoclaw hardware software, nemoclaw windows wsl2 setup, nemoclaw install windows docker desktop.

netlify-blobs

✓★ 4,081

by openai

Guide for using Netlify Blobs object storage. Use when storing files, images, documents, or simple key-value data without a full database. Covers getStore(), CRUD operations, metadata, listing, deploy-scoped vs site-scoped stores, and local development.

netlify-image-cdn

✓★ 4,081

by openai

Guide for using Netlify Image CDN for image optimization and transformation. Use when serving optimized images, creating responsive image markup, setting up user-uploaded image pipelines, or configuring image transformations. Covers the /.netlify/images endpoint, query parameters, remote image allowlisting, clean URL rewrites, and composing uploads with Functions + Blobs.

nextjs

✓★ 4,081

by openai

Next.js App Router expert guidance. Use when building, debugging, or architecting Next.js applications — routing, Server Components, Server Actions, Cache Components, layouts, middleware/proxy, data fetching, rendering strategies, and deployment on Vercel.

zoom-oauth

✓★ 4,081

by openai

Use when implementing OAuth.

observability

✓★ 4,081

by openai

Vercel Observability expert guidance — Drains (logs, traces, speed insights, web analytics), Web Analytics, Speed Insights, runtime logs, custom events, OpenTelemetry integration, and monitoring dashboards. Use when instrumenting, debugging, or optimizing application performance and user experience on Vercel.

omniverse-cad-to-simready

✓★ 4,081

by openai

Coordinate the end-to-end CAD/source-asset to SimReady workflow. Use for broad requests such as CAD to SimReady, source asset to simulation-ready USD, or prop packaging that require conversion, material/physics assignment, SimReady conformance, validation, and optional package creation; deploy or verify Content Agents services first when property assignment is enabled; route single-stage work through nested references.

openai-ads-conversions-setup

✓★ 4,081

by openai

Guide Codex through instrumenting or extending repositories with OpenAI Ads Measurement Pixel and optional Conversions API (CAPI). Use when adding Ads conversion tracking, browser pixel events, server-side conversion events, event_id deduplication, CAPI secret placeholders, incremental conversion coverage, or validating Ads conversion setup. Applies to local repositories and PR review contexts; prioritize safe, reviewable diffs and never place API keys or secrets in source code or client bundles

physical-ai-infrastructure-setup-and-resilient-scaling

✓★ 4,081

by openai

Use when the user wants to set up, scale, validate, or harden NVIDIA physical AI infrastructure for synthetic data generation workflows across local MicroK8s or Azure AKS, including Kubernetes clusters, inference endpoint deployment, OSMO deployment, workload submission readiness, and infrastructure failure recovery. Trigger keywords: physical ai infrastructure, resilient scaling, SDG infrastructure, microk8s, azure aks, NVCF deployment, NIM Operator, OSMO deploy, workflow scaling. Don't trigger

plan-zoom-integration

✓★ 4,081

by openai

Use when planning Zoom integrations.

plugin-creator

✓★ 4,081

by openai

Create and scaffold plugin directories for Codex with a required `.codex-plugin/plugin.json`, optional plugin folders/files, and baseline placeholders you can edit before publishing or testing. Use when Codex needs to create a new personal plugin, add optional plugin structure, or generate or update personal or repo-root `.agents/plugins/marketplace.json` entries for plugin ordering and availability metadata.

probe-sdk

✓★ 4,081

by openai

Use when using Probe SDK.

render-static-sites

✓★ 4,081

by openai

Deploys and configures static sites on Render's global CDN—build commands, publish paths, SPA routing, redirects, custom headers, and PR previews. Use when the user needs to deploy a static site, set up a React/Vue/Hugo/Gatsby frontend, configure SPA fallback routing, add redirect rules, customize response headers, or choose between a static site and a web service for their frontend. Trigger terms: static site, CDN, SPA, single-page app, React deploy, Vue deploy, Hugo, Gatsby, Docusaurus, Jekyll

render-web-services

✓★ 4,081

by openai

Configures Render web services—port binding, TLS, health checks, custom domains, auto-deploy, PR previews, persistent disks, and deploy lifecycle. Use when the user needs to set up a web service, fix health check failures, add a custom domain, configure zero-downtime deploys, or troubleshoot port binding issues.

render-workflows

✓★ 4,081

by openai

Sets up, develops, tests, and deploys Render Workflows. Covers first-time scaffolding (via CLI or manual), SDK installation (Python or TypeScript), task patterns (retries, subtasks, fan-out), local development, Dashboard deployment, and troubleshooting. Use when a user wants to set up Render Workflows for the first time, scaffold a workflow service, add or modify workflow tasks, test workflows locally, or deploy workflows to Render.

replay-qa-api

✓★ 4,081

by openai

Use when calling Replay QA's REST API directly from Codex. Covers bearer-token setup, Replay recording prerequisites, project creation from Replay recordings or target URLs, polling, bug retrieval, journeys, test runs, explorations, and fix workflow discipline.

replayio

✓★ 4,081

by openai

Use when you need to record or inspect an agent browser run in Replay, test a local app with the host agent browser using Replay Chromium, or use the Replay MCP server for deeper debugging of an uploaded recording.

rivet-sdk

✓★ 4,081

by openai

Use when using Rivet SDK.

scrna-seq-qc

✓★ 4,081

by openai

Process, quality-control, annotate, and visualize single-cell or single-nucleus RNA-seq datasets across tissues and species. Use when Codex needs to build, adapt, or review a general scRNA-seq QC pipeline; choose dataset-appropriate cell-level filters from QC distributions; run required scDblFinder-based doublet and ambient-RNA filtering; annotate cells with matched references or marker-based fallbacks; or generate global and per-group UMAP visualizations for large scRNA-seq datasets.

search-company-knowledge

✓★ 4,081

by openai

Search across company knowledge bases (Confluence, Jira, internal docs) to find and explain internal concepts, processes, and technical details. When an agent needs to: (1) Find or search for information about systems, terminology, processes, deployment, authentication, infrastructure, architecture, or technical concepts, (2) Search internal documentation, knowledge base, company docs, or our docs, (3) Explain what something is, how it works, or look up information, or (4) Synthesize information

security-diff-scan

✓★ 4,081

by openai

Use when the user asks for a security review of a pull request, commit, branch diff, working-tree patch, or other Git-backed change set.

shopify-dev

✓★ 4,081

by openai

Search Shopify developer documentation across all APIs. Use only when no API-specific skill applies.

shopify-hydrogen

✓★ 4,081

by openai

Hydrogen storefront implementation cookbooks. Some of the available recipes are: B2B Commerce, Bundles, Combined Listings, Custom Cart Method, Dynamic Content with Metaobjects, Express Server, Google Tag Manager Integration, Infinite Scroll, Legacy Customer Account Flow, Markets, Partytown + Google Tag Manager, Subscriptions, Third-party API Queries and Caching. MANDATORY: Use this API for ANY Hydrogen storefront question - do NOT use Storefront GraphQL when 'Hydrogen' is mentioned.

subagent-driven-development

✓★ 4,081

by openai

Use when executing implementation plans with independent tasks in the current session