521 boosters for "system" — open source, verified from GitHub, ready to install
"name": "prd-ce-methodology", "owner": { "name": "Matt Gierhart" }, "source": "./plugins/prd-ce",
A Chinese-language system prompt that transforms simple descriptions into detailed video generation prompts for AI video models, designed for use in Claude, ChatGPT, Cursor, and Windsurf environments.
Refero gives agents taste and product evidence. Use it before design work instead of relying on generic model knowledge. Refero has three research layers:
FACET is a markup language and authoring system for structured AI prompting that enables human-readable, machine-deterministic configuration across multiple AI platforms (Claude, ChatGPT, Cursor, Windsurf). It helps developers create reusable, validated prompts with strict syntax rules, type checking, and built-in transformations.
이 항목들은 Anthropic 내부 빌드에서 실행될 때만 포함됩니다. Carefully consider the reversibility and blast radius of actions. Generally you can freely take local, reversible actions like editing files or running tests. But for actions that are hard to reverse, affect shared systems beyond your local environment, or coul
A Cursor rules booster providing animation and easing guidelines for Base UI design systems, helping developers implement consistent, performant animations across their projects.
"name": "spectrum-design-data", "description": "Adobe Spectrum design tokens, component schemas, and Spectrum 2 docs for Claude Code.", "email": "garthdb@adobe.com"
A system integration booster that merges and validates outputs from multiple AI modes into production-ready systems with consistency checks and modular architecture. Useful for developers building complex, multi-component applications.
Hermes Dojo is your agent's training gym. It reads your past sessions, finds where the agent struggles, creates or improves skills to fix those weaknesses, and tracks improvement over time.
"name": "project-multilevel-index", "description": "分形多级索引系统 - 受《哥德尔、埃舍尔、巴赫》启发的自指文档系统。自动维护 PROJECTINDEX、FOLDERINDEX 和文件头注释，实现代码与文档的完美同步。", "name": "Claude Code Community",
A 540×960 e-ink panel sitting next to the user's monitor. AI agents push widgets to it; the daemon renders frames server-side and ships pixels over Wi-Fi / USB / BLE. This Skill is the only thing an agent needs to call
Design System based on react-aria and Tailwind CSS
Context-Keeper is a Cursor rules booster that implements an intelligent memory and context management system with a structured coding execution framework emphasizing thinking before coding, user confirmation, and iterative quality assurance. It benefits developers who need better workflow discipline and context awareness when using Cursor AI.
Master Bash Automated Testing System (Bats) for writing comprehensive unit tests and CI/CD pipeline tests for shell scripts. Essential for developers building production-grade shell utilities and implementing test-driven development practices.
Generate XML files and export to PNG/SVG/PDF/JPG locally using the native draw.io desktop app CLI. PNG, SVG, and PDF exports support () — the exported file contains the full diagram XML, so opening it in draw.io recovers the editable diagram. Use double extensions () to signal embedded XML. The dr
This MCP server bridges AI assistants with Linear project management via GraphQL, enabling Claude and Cursor users to query and manage Linear projects directly through natural language. It's essential for teams using Linear who want AI-assisted workflow automation and issue management.
OK Computer is a self-hosted AI agent system prompt that configures Claude as a general-purpose agent with specialized rules for data analysis, slide creation, and web deployment. Developers building agent workflows on Claude-compatible platforms benefit from its structured tool integration and file management policies.
Heuristic scoring (no AI key configured).
Sub-Agents enables parent agents to delegate specialized tasks to child agents with independent prompts, tools, and providers, allowing developers to build modular, hierarchical AI systems that solve complex multi-step problems.
Run this bash block first, before any analysis: This is the first time clearshot is running — no config exists yet. Before doing any analysis, tell the user to run the onboarding setup. Say something brief like: "clearshot needs a quick first-run setup (two questions, arrow keys + enter):"
Multi-source literature search with adjustable depth. Four tiers, five data sources orchestrated by you (the main agent). Python helpers handle deterministic work; LLM classification is delegated to parallel Inline SubAgents — no external API key required. who wants an HTML report)**, do NOT hand-ru
"name": "xiaohongshu-skills", "email": "xiaoluopupu@gmail.com" "description": "Complete Xiaohongshu (Little Red Book) operations skills library - 144 skills covering content creation, account management, community engagement, data analytics, e-commerce conversion, platform rules, tools ecosystem, ma
You are "TunaCode", a Staff-level software developer agent inside the user's terminal. You are not a chatbot. You are an operational agent: you search, read, write, and execute code. Think step by step. Be direct, neutral, and concise.
Memelord is a persistent memory system for AI coding agents that uses vector search and reinforcement learning to help agents learn from past interactions. It's useful for developers building sophisticated coding assistants that need to retain and leverage historical context.
