4,922 boosters for "c" — open source, verified from GitHub, ready to install
"name": "norman-finance", "description": "AI-powered bookkeeping and tax filing automation for entrepreneurs at the heart of the European economy. Connect to Norman to manage clients, invoices, transactions, taxes, and documents.", "name": "Norman Finance",
You are an Anchor framework specialist with deep expertise in building secure, maintainable Solana programs using Anchor 0.31+. Your focus is rapid development with strong security guarantees through Anchor's constraint system.
UI Skills provides opinionated constraints and best practices for building better interfaces with AI agents, enforcing consistent use of Tailwind CSS, motion libraries, and accessibility standards. It benefits developers building Claude-powered agent interfaces who want reliable, modern UI patterns.
A WhatsApp integration skill that enables querying chats, messages, and contacts while supporting message sending and reactions. Useful for developers building AI assistants that need WhatsApp data access and messaging capabilities.
本 skill 的所有文件路径都相对于 （即本 SKILL.md 所在目录）。 读写文件时，始终使用 前缀解析路径。执行 shell 命令时同理。 如果 既不是子命令也不像房源链接，显示 discovery。
A comprehensive guide for iOS app development, building, signing, testing, and App Store release workflows tailored for China region. Ideal for Chinese developers navigating iOS app submission, privacy compliance, and platform-specific requirements.
A skill booster that generates professional AI-enhanced photos and portraits using ByteDance's Seedream 4.5 model, enabling users to create styled portraits, group photos, edit images, and design posters. Useful for creators, designers, and anyone needing AI-powered image generation.
You are the rust-backend-engineer, a Rust backend specialist for building async services that interact with Solana blockchain and provide APIs, indexing, and off-chain processing. extract::ws::{WebSocket, WebSocketUpgrade}, response::IntoResponse,
You are the solana-architect, a senior Solana program architect specializing in system design, account structures, PDA schemes, token economics, and cross-program composability. Consider alternatives (Pinocchio/native) when: When your architecture is ready for implementation, choose the right specia
Generates professional, AI-artifact-free cover images for technical articles by analyzing content themes and selecting from 25 curated artistic styles with optimized image prompts. Useful for technical writers, developers, and content creators who need publication-quality visuals without generic AI aesthetics.
es-fetch-api is a lightweight, middleware-based wrapper around the native fetch API that simplifies HTTP requests in JavaScript/TypeScript projects. It benefits developers building Node.js or browser applications who need composable, chainable request handling.
A skill that enables safe, comprehensive searches of Zotero libraries by executing Python code to filter and rank results, preventing context overload crashes. Useful for researchers and developers who need efficient access to large reference collections.
You are a biomedical data visualization expert powered by the Bizard atlas — a comprehensive collection of 256 reproducible visualization tutorials covering R, Python, and Julia, with 793 curated figure examples from real biomedical research. When a user asks for help with data visualization — espec
Trade on Lighter — a ZK-rollup perpetual futures and spot exchange. Scripts live in this skill's directory. Read commands use , write commands use . Every command prints structured JSON to stdout. Errors are always in JSON as . Commands use syntax mirroring the Lighter UI (e.g. , , ).
Subagents enable deep agents to delegate work while maintaining clean context. They're useful for context quarantine and providing specialized instructions. Subagents solve the context bloat problem. When agents use tools producing large outputs (web searches, file reads, database queries), the cont
"description": "Adaptive UI component library as part of Serendie Design System by Mitsubishi Electric", "author": { "name": "SerendieDesign" }, "homepage": "https://serendie.design",
"description": "Prose linter and editor skill. /pilcrow audit, polish, humanize, tighten, clarify, pace, lead, verify, aloud, argue, plus teach/document/craft. AI-tell detection is one feature among many.", "version": "0.17.2", "name": "Samuel Galanakis"
"name": "buildable", "description": "Local product-structure compiler, compact UI/UX brain, and quality gate for your coding agent. A prompt becomes the right archetype, selected design system, runnable build-verified starter, and reviewed result while loading only the references each prompt needs."
This Cursor rule set enables persistent memory and lesson management by integrating with an MCP server, automatically tracking user identity, preferences, goals, and past errors to provide contextually-aware assistance. Developers using Cursor who need continuity across sessions and automated error pattern recognition will benefit most.
If no interval is specified, the default interval is 10 minutes. The loop stops automatically when any of the following occur: 1. Maximum iteration count (100) is reached
"name": "workflow-audit", "description": "SwiftUI workflow audit — find dead ends, broken promises, and UX friction. Bundled with a phased plan generator.", "name": "Terry Nyberg"
An MCP server integration for Upstash that enables Claude to interact with Upstash services (Redis, Kafka, QStash) directly. Developers building applications that need serverless data and messaging infrastructure benefit from this seamless Claude integration.
LinkedIn MCP Server enables Claude to interact with LinkedIn data and functionality through the Model Context Protocol. Developers building AI assistants that need LinkedIn integration will find this valuable.
Agents merge language models with tools to build systems capable of reasoning about tasks, deciding which tools to suit the situation, and iteratively working toward solutions. The function provides a production-ready implementation. Agents follow a loop pattern: input flows to the model, which dec
