Codex skills: 1008 worth installing

Manages BigQuery datasets, tables and jobs, and runs SQL queries for basic ingestion and analysis.

Manages Cloud Run services, jobs and worker pools for HTTP apps, scheduled tasks and background processing.

Creates and explains Cloud SQL instances and databases for MySQL, PostgreSQL and SQL Server.

Helps build AI applications with Genkit in Node.js and TypeScript: flows, tools, agents and fixes for common Genkit errors.

Covers Firebase CLI basics: installation, login, project creation and selection, and app config download.

Adds validation and guardrails to gcloud CLI operations across Google Cloud services, and trims their output.

Guides use of the Gemini API on Google Cloud's Agent Platform with the Google Gen AI SDK.

Generates a client service class for the Gemini Live API websocket endpoint in the language you choose.

Handles core GKE tasks: cluster provisioning, credentials, the Autopilot or Standard choice and workload deployment.

Edits Chinese articles and documents to remove empty, repetitive and templated phrasing while keeping the facts and the author's voice.

Automates browser interactions and tests web pages through the Playwright CLI.

Uses the Hugging Face Hub CLI to download, upload and manage models, datasets, Spaces, buckets and jobs.

Runs evaluations of Hugging Face Hub models on local hardware with inspect-ai and lighteval.

Works with the Hugging Face Dataset Viewer API: split metadata, row pagination, text search, filters and parquet downloads.

Builds Gradio web UIs and demos in Python: components, event listeners, layouts and chatbots.

Fine-tunes language and vision models with TRL or Unsloth on Hugging Face Jobs, including GGUF conversion.

Helps select and run models locally with llama.cpp and GGUF on CPU, Mac Metal, CUDA or ROCm.

Publishes and manages research papers on the Hugging Face Hub and links them to models and datasets.

Reads Hugging Face paper pages as markdown and fetches structured metadata such as authors and linked models.

Builds, deploys and maintains apps on Hugging Face Spaces with the Gradio, Docker or Static SDKs.

Tracks and visualises ML training experiments with Trackio: logged metrics, alerts and a live dashboard.

Trains and fine-tunes vision models for object detection, image classification and SAM segmentation.

Runs machine learning models directly in JavaScript and TypeScript with Transformers.js, for text, vision and audio tasks.

Builds, debugs and reviews TypeScript MCP servers and MCP Apps with mcp-use: tools, resources, prompts and authentication.