11 boosters for "generative-ai" — open source, verified from GitHub, ready to install
"name": "cursor-talk-to-figma-mcp", "description": "Cursor Talk to Figma MCP", "module": "dist/server.js",
DAOs that grant voting power = current token balance (not snapshot of past balance) are vulnerable: This is what happened to Beanstalk (April 2022, $182M loss) — attacker flash-borrowed Beanstalk gov tokens, voted to drain the treasury, repaid the loan. Same block. ERC20Votes lets users delegate. If
This wiki is maintained entirely by your coding agent. No API key or Python scripts needed — just open this repo in Codex, OpenCode, or any agent that reads this file, and talk to it. Describe what you want in plain English: Or use shorthand triggers:
Each agent inherits from and uses a shared object that stores: All providers implement the same interface, making them interchangeable at runtime: Switch provider via or CLI flag.
1. Write Simple, Clear Code 3. Project Structure 4. Development Practice
Generate a markdown changelog from GitHub PRs for sprint review meetings. Both can be overridden if the user explicitly provides a different author or date. 1. Detect the current user (unless explicitly provided):
Opik MCP Server enables developers to integrate automated prompt optimization directly into Claude through the Model Context Protocol. It's valuable for teams building AI applications who want to systematically improve and test their prompts.
A comprehensive tutorial chapter teaching developers how to build and deploy intelligent AI agents with tool use and automation capabilities in AnythingLLM. Ideal for engineers looking to add autonomous workflows and function-calling to their self-hosted RAG systems.
IcoGenie MCP Server enables AI agents and Claude to programmatically generate SVG icons, allowing developers to automate icon creation in their applications and workflows.
A Cursor-specific prompt that establishes an experienced software engineer persona with expertise in modern Next.js, React, and TypeScript development. It helps developers maintain consistent coding standards and best practices throughout their project workflow.
A comprehensive system prompt and structural guide for building production-ready GenAI applications with clear rules, templates, and best practices across multiple AI platforms. Developers building AI agents and structured LLM applications benefit from its emphasis on proper configuration, testing, and code standards.
