ChatGPT

Create stunning, animation-rich HTML presentations from scratch or by converting PowerPoint files. Use when the user wants to build a presentation, convert a PPT/PPTX to web, or create slides for a talk/pitch. Helps non-designers discover their aesthetic through visual exploration rather than abstract choices.

Master software architect specializing in modern architecture

Clean AI-generated code slop with a regression-safe, deletion-first workflow and optional reviewer-only mode

Transforms user prompts into optimized prompts using frameworks (RTF, RISEN, Chain of Thought, RODES, Chain of Density, RACE, RISE, STAR, SOAP, CLEAR, GROW)

This is a fork of karpathy/llm-council. New in this fork since the previously published state: - Conversation history is complete again: storage loads older runs from backend/data/conversations.json and supports the legacy data/ layout (including data/conversations/ per-conversation JSON files when present), so older runs show up in the UI. - Sidebar no longer truncates early: the frontend now req

Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.

:rocket: Serena is a powerful coding agent toolkit capable of turning an LLM into a fully-featured agent that works directly on your codebase. Unlike most other tools, it is not tied to an LLM, framework or an interface, making it easy to use it in a variety of ways. :wrench: Serena provides essential semantic code retrieval and editing tools that are akin to an IDE's capabilities, extracting code

Orchestrate multiple Antigravity skills through guided workflows for SaaS MVP delivery, security audits, AI agent builds, and browser QA.

Every product will be AI-powered. The question is whether you'll build it right or ship a demo that falls apart in production. This skill covers LLM integration patterns, RAG architecture, prompt engineering that scales, AI UX that users trust, and cost optimization that doesn't bankrupt you. Use when: keywords, file_patterns, code_patterns.

prompts.chat The world's largest open-source prompt library for AI Works with ChatGPT, Claude, Gemini, Llama, Mistral, and more formerly known as Awesome ChatGPT Prompts 🌐 Browse Prompts • 📖 Read the Book • 📄 View on GitHub • 🚀 Self-Host 🏆 Featured in Forbes · 🎓 Referenced by Harvard , Columbia · 📄 40+ academic citations · ❤️ Most liked dataset on Hugging Face ⭐ 143k+ GitHub stars ·

This plugin brings S&P Global's financial data and analytics directly into your AI workflow via a set of pre-built skills. It is designed for financial professionals who want AI-assisted research, analysis, and document generation grounded in authoritative S&P Global data. The skills are built on open standards (MCP) and are designed to work across AI platforms and agent frameworks. While the plug

Taskmaster : A task management system for AI-driven development, designed to work seamlessly with any AI chat. A task management system for AI-driven development with Claude, designed to work seamlessly with Cursor AI. 📚 View Full Documentation For detailed guides, API references, and comprehensive examples, visit our documentation site. The following documentation is also available in the docs d

Write and maintain Architecture Decision Records (ADRs) following best practices for technical decision documentation. Use when documenting significant technical decisions, reviewing past architectural choices, or establishing decision processes.

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Marketing frameworks that AI actually executes. Not guides. Not courses. Skills — packaged expertise your AI agent loads and follows. Agent Skills are an open standard for packaging expertise as instructions that AI agents can follow. Traditional content: You read it → You apply it → You forget half of it. Agent Skills: Your agent reads it → Your agent applies it → Every time. Perfectly. Think of

Work with code and text, run processes, and automate tasks, going far beyond other AI editors - while using host client subscriptions instead of API token costs. - How to install - Remote MCP (ChatGPT, Claude Web) - Getting Started - Handling Long-Running Commands - Work in Progress and TODOs - Sponsors and Supporters - Testimonials - Frequently Asked Questions - Contributing All of your AI develo

Manage multiple local CLI agents via tmux sessions (start/stop/monitor/assign) with cron-friendly scheduling.

Use when you need to address review or issue comments on an open GitHub Pull Request using the gh CLI.

Anyquery is a SQL query engine that allows you to run SQL queries on pretty much anything. It supports querying files, databases, and apps (e.g. Apple Notes, Notion, Chrome, Todoist, etc.). It's built on top of SQLite and uses plugins to extend its functionality. It can also connect to LLMs (e.g. ChatGPT, Claude, Cursor, TypingMind, etc.) to allow them to access your data. Finally, it can act as a

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Project scaffolding templates for new applications. Use when creating new projects from scratch. Contains 12 templates for various tech stacks.

Tools are how AI agents interact with the world. A well-designed tool is the difference between an agent that works and one that hallucinates, fails silently, or costs 10x more tokens than necessary. This skill covers tool design from schema to error handling. JSON Schema best practices, description writing that actually helps the LLM, validation, and the emerging MCP standard that's becoming the lingua franca for AI tools. Key insight: Tool descriptions are more important than tool implementa

Lightweight logging & observability for agent work across clients (Codex, Claude, Cursor, ChatGPT, OpenClaw, and others). - One MCP tool (logwork) that aggregates work done across different agents for single or multiple users. - Define your own logging structure with custom schemas (or use built-in profiles) once, and the MCP schema will guide clients to log with correct payloads. - This lets team

End-to-end GenAIOps template for building LLM-infused apps with Prompt Flow, including CI/CD pipelines, A/B deployment, and lifecycle management.