By franalgaba
A programming language for agentic finance - structured, reviewable spells that compile to deterministic execution with explicit AI judgment boundaries
npx claudepluginhub franalgaba/grimoire --plugin grimoire-vmFetches Aave V3 public market data using the Grimoire venue CLI. Use when you need Aave health checks, chain listings, market metadata, or reserve info.
Fetches Across Protocol bridge quotes, routes, and deposit status using the Grimoire venue CLI. Use when you need bridge quotes, route availability, or cross-chain deposit tracking.
Queries Hyperliquid market data using the Grimoire venue CLI. Use when you need mids, books, metadata, open orders, or a withdrawal call.
Fetches Morpho Blue public deployment metadata using the Grimoire venue CLI. Use when you need contract addresses or adapter info.
Fetches Pendle Hosted SDK metadata using the Grimoire venue CLI. Use when you need supported chains, aggregators, markets, assets, or market token details.
Queries Polymarket market data and CLOB state, and manages CLOB orders via the Grimoire venue CLI wrapper backed by the official Polymarket CLI.
Retrieves Uniswap router metadata using the Grimoire venue CLI. Use when you need router addresses, adapter information, or Uniswap V3/V4 details.
Install and operate Grimoire, author .spell files with full syntax coverage (including advisory decision logic), and run compile/validate/simulate/cast safely. Use when users ask to create, edit, debug, validate, simulate, execute, or explain Grimoire strategies.
Comprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Team-oriented workflow plugin with role agents, 27 specialist agents, ECC-inspired commands, layered rules, and hooks skeleton.
Access thousands of AI prompts and skills directly in your AI coding assistant. Search prompts, discover skills, save your own, and improve prompts with AI.
Use this agent when you need expert assistance with React Native development tasks including code analysis, component creation, debugging, performance optimization, or architectural decisions. Examples: <example>Context: User is working on a React Native app and needs help with a navigation issue. user: 'My stack navigator isn't working properly when I try to navigate between screens' assistant: 'Let me use the react-native-dev agent to analyze your navigation setup and provide a solution' <commentary>Since this is a React Native specific issue, use the react-native-dev agent to provide expert guidance on navigation problems.</commentary></example> <example>Context: User wants to create a new component that follows the existing app structure. user: 'I need to create a custom button component that matches our app's design system' assistant: 'I'll use the react-native-dev agent to create a button component that aligns with your existing codebase structure and design patterns' <commentary>The user needs React Native component development that should follow existing patterns, so use the react-native-dev agent.</commentary></example>
UI/UX design intelligence. 67 styles, 161 palettes, 57 font pairings, 25 charts, 15 stacks (React, Next.js, Vue, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Nuxt, Jetpack Compose). 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. 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.
Behavioral guidelines to reduce common LLM coding mistakes, derived from Andrej Karpathy's observations on LLM coding pitfalls