svelte-deployment
Expert SvelteKit deployment guidance covering production builds, static/node/cloudflare adapters, Vite configuration, and library authoring best practices.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
490 skills found
Expert SvelteKit deployment guidance covering production builds, static/node/cloudflare adapters, Vite configuration, and library authoring best practices.
Integrates browser-native Proofreader API into web applications for AI-powered text correction, grammar checking, and language support with managed model lifecycle.
Orchestrate multi-agent AI swarms using the ClawTeam CLI to automate parallel task execution, dependency management, and team collaboration with git worktree isolation and tmux support.
Query the Pollinations text API with web-search enabled models like Gemini and Perplexity for grounded, real-time research.
Automate high-quality screenshot generation for MicroSim visualizations using Chrome headless mode. Ideal for documentation, social media previews, and quality assessment.
A comprehensive automation skill for Cosense (formerly Scrapbox) enabling page reading, searching, creating, and safe editing via API.
An MCP server enabling agents to edit, manage, and compile Arduino IDE 2.0 sketches, including source code manipulation and automated build capabilities via arduino-cli.
Establish cohesive visual systems using design tokens, modular typography scales, 8-point spacing grids, and accessible color palettes for consistent UI development.
Synchronize English README.md with Chinese README_ZH.md, maintaining content parity and structural consistency for bilingual documentation projects.
Deployment skill for AWS Elastic Beanstalk Node.js apps, providing dependency strategies for monorepos, private packages, and environment configuration.
Unified API for LLM function calling and tool use across OpenAI, Anthropic, Google, and Ollama with standardized schema definitions and execution patterns.
Expert guide for OpenCode AI: TUI commands, CLI operations, AGENTS.md configuration, custom agent workflows, and project setup.