Google Gemini embeddings API (gemini-embedding-001) for RAG and semantic search. Use for vector search, Vectorize integration, or encountering dimension mismatches, rate limits, text truncation.
Provides Google's Gemini embedding API for vector generation, enabling semantic search and RAG applications within Claude Code.
Why this plugin
Official Google API for high-quality embeddings, ideal for vector search and AI integrations, solving dimension mismatch and rate limit issues.
Prerequisites
Requires a Google Cloud API key with access to the Gemini API. Setup involves configuring the key for the gemini-embedding-001 model.
npx claudepluginhub secondsky/claude-skillsUpstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
UI/UX design intelligence. 50 styles, 21 palettes, 50 font pairings, 20 charts, 9 stacks (React, Next.js, Vue, Svelte, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui). Actions: plan, build, create, design, implement, review, fix, improve, optimize, enhance, refactor, check UI/UX code. Projects: website, landing page, dashboard, admin panel, e-commerce, SaaS, portfolio, blog, mobile app, .html, .tsx, .vue, .svelte. Elements: button, modal, navbar, sidebar, card, table, form, chart. Styles: glassmorphism, claymorphism, minimalism, brutalism, neumorphism, bento grid, dark mode, responsive, skeuomorphism, flat design. Topics: color palette, accessibility, animation, layout, typography, font pairing, spacing, hover, shadow, gradient. Integrations: shadcn/ui MCP for component search and examples.
XSS prevention, CSRF protection, content security policies, mobile app security, and secure storage patterns
HR policy documentation, legal compliance templates (GDPR/SOC2/HIPAA), employment contracts, and regulatory documentation