Foodshare
Official@Foodshareclub · United States of America
Foodsharing startup
Agent Skills by Foodshare
Showing 15 vetted skills indexed across 1 GitHub repositories.
Foodshareclubbuild-agents
Scaffolds durable AI agents using the eve framework with tools, channels, and schedules.
Foodshareclubnext-dev-loop
Verify Next.js code changes at runtime using the /_next/mcp endpoint and a browser automation CLI.
Foodshareclubvercel-cli
Deploy, manage, and develop projects on Vercel from the command line.
Foodshareclubnext-partial-prefetching-adoption
Enables Partial Prefetching in Next.js apps and resolves the dev insights it surfaces.
Foodshareclubnext-cache-components-optimizer
Drives Next.js routes to instant navigation using test-driven Cache Components optimization.
Foodshareclubnext-cache-components-adoption
Migrate a Next.js App Router project to Cache Components and resolve blocking routes.
Foodshareclubmigrate-ai-sdk-v6-to-v7
Migrates applications from Vercel AI SDK 6.x to AI SDK 7.0 using a structured checklist.
Foodshareclubai-elements
Build AI chat interfaces with ai-elements React components for conversations, messages, and tool displays.
Foodshareclubchat-sdk
Build multi-platform chat bots with the Chat SDK TypeScript package.
Foodshareclubbuilding-components
Guides building accessible, composable React UI components with design tokens and distribution patterns.
Foodshareclubturborepo
Configure Turborepo task pipelines, caching, and filtering for JavaScript monorepos.
Foodshareclubai-sdk
Answers questions and implements features using the Vercel AI SDK TypeScript toolkit.
Foodshareclubflags-sdk
Implement feature flags and A/B tests in Next.js and SvelteKit using the Flags SDK.
Foodshareclubstreamdown
Implement and configure Streamdown, a streaming-optimized React Markdown renderer with plugins.
Foodshareclubcreate-a-backend
Plans backend architectures by mapping workloads to Vercel Functions, Services, Queues, and Workflow.
Frequently Asked Questions About Foodshare
FAQPage SchemaWhat tasks can I accomplish using Foodshare's skill registry?▼
You can deploy and manage Vercel projects via the CLI, enable Next.js Cache Components and Partial Prefetching, build chat interfaces with ai-elements and Chat SDK, migrate AI SDK v6 to v7, configure Turborepo pipelines, and set up feature flags with the Flags SDK.
Who are these skills designed for?▼
Frontend and full-stack engineers working with Next.js and the Vercel platform. Typical users include developers optimizing route rendering performance, platform engineers managing deployments and environment variables, and teams building AI-powered chat features or multi-platform bots for Slack, Teams, and Discord.
How do the Next.js performance skills work in practice?▼
The cache-components-optimizer skill encodes an instant-navigation goal as a failing @next/playwright instant() e2e test, then works it to green one route at a time. It requires a running next dev server and Next.js 16.3+ with cacheComponents enabled, directing an upgrade for older versions.
Are these skills open source and what do they cost?▼
The Chat SDK skill is explicitly licensed under MIT. Other skills reference publicly documented Vercel, Next.js, Turborepo, and AI SDK packages distributed via npm. No paid licensing is mentioned in the manifest; costs depend only on underlying Vercel platform usage.
What prerequisites do these skills require?▼
Next.js optimization skills require Next.js 16.3+ with the cacheComponents flag and a running next dev server. Vercel CLI skills expect the vercel command installed via npm, pnpm, yarn, or bun. Chat SDK bots are scaffolded with create-chat-sdk, and Flags SDK integrates with Next.js or SvelteKit.