Official Agent Skills

anthropic Bundle

Create, read, edit, and manipulate Word documents (.docx files) with formatting, tables, images, and tracked changes.

anthropic Bundle

Create, read, edit, and convert PowerPoint (.pptx) files with design guidance and visual QA workflows.

anthropic Bundle

Create, edit, and analyze spreadsheet files (.xlsx, .xlsm, .csv, .tsv) with formulas, formatting, and financial modeling conventions.

anthropic Bundle

Creates visual art in .png and .pdf documents by first generating a design philosophy and then expressing it on a canvas.

anthropic Bundle

Create new skills, modify existing ones, and measure their performance through iterative evaluation and benchmarking.

anthropic Bundle

Apply consistent, professional color palettes and font pairings to presentation slide decks and other artifacts using pre-set themes or custom on-the-fly generation.

anthropic Bundle

Create algorithmic art by first writing a generative philosophy, then expressing it as p5.js sketches with seeded randomness and interactive parameter exploration.

anthropic Skill

Guides users through a structured three-stage workflow for co-authoring documentation, proposals, technical specs, and similar documents.

anthropic Bundle

Guides distinctive, intentional visual design for new UI or existing interfaces, covering aesthetic direction, typography, and avoiding templated defaults.

anthropic Bundle

Creates elaborate, multi-component HTML artifacts using React, Tailwind CSS, and shadcn/ui for complex frontend projects.

google Skill

Interacts with Google Cloud services using the gcloud CLI safely and efficiently, with command validation, data reduction, safety guardrails, and workflows for discovery and investigation.

google Skill

Optimize GKE costs by rightsizing workloads, configuring Spot VMs, selecting machine types, and using Committed Use Discounts.

google Bundle

Guides usage of the Gemini API on Agent Platform with the Google Gen AI SDK, covering SDK usage (Python, JS/TS, Go, Java, C#), capabilities like multimodal inputs, tools, media generation, caching, batch prediction, and Live API.

google Skill

Configures GKE storage including PVCs, PersistentVolumes, Filestore, and GCS FUSE with best practices for production workloads.

google Bundle

Hardens Google Kubernetes Engine (GKE) clusters with Workload Identity, Secret Manager, RBAC, Binary Authorization, Network Policies, and Pod Security Standards.

google Bundle

Plans, executes, and validates Google Kubernetes Engine (GKE) cluster upgrades and maintenance operations for both Standard and Autopilot clusters, producing upgrade plans, checklists, and runbooks with gcloud commands.

google Skill

Deploys and optimizes AI/ML inference workloads on GKE, using GPUs, TPUs, and model servers.

google Bundle

Manages AlloyDB for PostgreSQL clusters, instances, and backups using gcloud CLI commands.

google Bundle

Run machine learning and generative AI tasks directly in BigQuery SQL using built-in functions for forecasting, anomaly detection, key driver analysis, and text generation.

google Bundle

Provision Bigtable instances, design performant schemas, and query data using gcloud, cbt, or client libraries.

google Bundle

Sets up the Firebase CLI, installs Firebase agent skills, and configures project context for mobile and web app development.

google Bundle

Provides GKE golden path configuration defaults, production readiness checklists, and cluster default patterns for designing and verifying GKE clusters.

google Bundle

Creates and manages Cloud SQL instances, databases, and users for MySQL, PostgreSQL, and SQL Server using gcloud CLI commands.

google Skill

Plans and configures multi-tenancy on GKE, covering namespace isolation, RBAC planning, resource quotas, LimitRanges, network isolation, and cost allocation.

google Skill

Manage custom Agent resources on the Gemini Enterprise Agent Platform via REST API, including creation, configuration, listing, updating, and deletion with support for files, skills, and tools.

google Bundle

Containerizes applications and deploys them to Google Kubernetes Engine (GKE) with Dockerfiles, manifests, and best practices.

google Bundle

Configures, optimizes, and troubleshoots GKE ComputeClasses for Spot VMs with on-demand fallback, GPU/TPU targeting, machine family selection, and zone colocation.

google Skill

Creates GKE clusters with golden path Autopilot defaults, supporting Standard and GPU workloads. Guides through project, region, and networking inputs, then provisions and verifies cluster settings.

google Bundle

Deploy open models or custom weights from Model Garden to Agent Platform endpoints, check deployment status, verify serving endpoints, or clean up resources by undeploying models and deleting endpoints.

google Skill

Authenticate, initialize, and use the stateful Gemini Interactions API for multi-turn conversations, streaming, structured output, and function calling on the Gemini Enterprise Agent Platform.

google Bundle

Validate enterprise workloads against Google Cloud best practices using public client libraries and the REST API to manage evaluations, rules, scanned resources, and validation results.

google Bundle

Authenticates and connects to Google Cloud Agent Platform for inference with Gemini and third-party OpenMaaS models (Llama, DeepSeek, Qwen). Generates code for multiple SDKs, configures endpoints, and troubleshoots common errors.

google Skill

Guides authentication and authorization to Google Cloud services, covering human users, service identities, Application Default Credentials (ADC), and best practices for secure access.

google Skill

Evaluates Google Cloud workloads against the Well-Architected Framework security pillar, identifies security requirements, and provides actionable recommendations for IAM, network security, data protection, and operational security.

google Skill

Fetches IAM recommendations and security insights from Google Cloud for a specified organization, folder, or project, using MCP tools, gcloud CLI, or direct API calls.

google Bundle

Measures and improves the quality of AI models and agents on Google Cloud using the Eval Quality Flywheel methodology, including dataset creation, metric selection, failure analysis, and iterative improvement.