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Found 1,318 Skills
Build full-stack web applications powered by Google Gemini's Nano Banana & Nano Banana Pro image generation APIs. Use when creating Next.js image generators, editors, galleries, or any web app that integrates gemini-2.5-flash-image or gemini-3-pro-image-preview models. Covers React components, server actions, API routes, storage, rate limiting, and production deployment patterns.
Detects and safely removes unused code (imports, functions, classes) across multiple languages. Use after refactoring, when removing features, or before production deployment. Includes safety checks and validation.
Deploy and operate production agent servers with LangSmith Deployment. Use when work involves choosing Cloud vs Hybrid/Self-hosted-with-control-plane vs Standalone, preparing/validating langgraph.json, creating deployments or revisions, rolling back revisions, wiring CI/CD to control-plane APIs, configuring environment variables and secrets, setting monitoring/alerts/webhooks, or troubleshooting deployment/runtime/scaling issues for LangChain/LangGraph applications.
Use Robonet's MCP server to build, backtest, optimize, and deploy trading strategies. Provides 24 specialized tools for crypto and prediction market trading: (1) Data tools for browsing strategies, symbols, indicators, Allora topics, and backtest results, (2) AI tools for generating strategy ideas and code, optimizing parameters, and enhancing with ML predictions, (3) Backtesting tools for testing strategy performance on historical data, (4) Prediction market tools for Polymarket trading strategies, (5) Deployment tools for live trading on Hyperliquid, (6) Account tools for credit management. Use when: building trading strategies, backtesting strategies, deploying trading bots, working with Hyperliquid or Polymarket, or enhancing strategies with Allora Network ML predictions.
Build modern documentation websites with Docusaurus. Covers docs, blog, pages, versioning, i18n, search integration, and deployment patterns. React-based with MDX support for interactive documentation.
Sagemaker Endpoint Deployer - Auto-activating skill for ML Deployment. Triggers on: sagemaker endpoint deployer, sagemaker endpoint deployer Part of the ML Deployment skill category.
Review code through hostile perspectives to find bugs, security issues, and unintended consequences the author missed. Use when reviewing PRs, auditing codebases, or before critical deployments.
Guide to effective Claude Code skill authoring using TDD methodology and persuasion principles. Use when creating new skills, improving compliance, or validating quality before deployment. Do not use for evaluating existing skills (use skills-eval) or analyzing architecture (use modular-skills). Follow the Iron Law: write a failing test before writing any skill.
Master Kubernetes with pods, deployments, services, ingress, ConfigMaps, secrets, and production cluster management.
Development best practices and project patterns. Use when starting projects, setting up CLAUDE.md, coding TypeScript/Next.js/React/Supabase, implementing AI flows, data fetching, testing, deployment, git workflows, browser automation, centralized configuration, or Tailwind CSS v4.
Generate detailed layered architecture diagrams as self-contained HTML artifacts with inline SVG icons, CSS Grid nested container layout, SVG path connection overlays, and color-coded connection legends. Use when the user asks to create architecture diagrams, infrastructure diagrams, system topology diagrams, network diagrams, cloud architecture visuals, deployment diagrams, integration flow diagrams, or any request involving visual representation of system components, their containment hierarchy, and interconnections. Triggers on terms like "architecture diagram", "infra diagram", "system diagram", "topology", "deployment diagram", "network diagram", "integration architecture", or when the user provides a system description and asks for a visual/diagram.
Implements zero-downtime deployments on GKE using rolling updates, blue-green strategies, and health checks. Use when deploying new versions, rolling back failed deployments, configuring Spring Boot health probes (liveness/readiness), managing rollout status, or implementing progressive rollout patterns. Includes automated health verification and rollback procedures.