🧪 Convex
This skill provides comprehensive Convex development guidance to avoid common mistakes and ensure code compiles on first try.
npx playbooks add skill gmickel/my-claude-skills --skill convex
About Convex
Convex is a testing tool that provides comprehensive guidance for Convex development, helping developers avoid common mistakes and ensure their code compiles successfully on the first try. It connects to the development process to offer targeted advice and support. A developer would reach for Convex when starting a new Convex project or troubleshooting existing code to benefit from its expert guidance and avoid potential pitfalls.
This compact 18-word instruction set is purpose-built for testing & qa work in AI coding agents. Install with a single command.
Use Cases
- Writing unit, integration, and end-to-end tests
- Setting up test coverage and CI pipelines
- Refactoring legacy code with confidence using tests
- Creating test plans and QA checklists
Example Prompts
System Prompt (18 words)
This skill provides comprehensive Convex development guidance to avoid common mistakes and ensure code compiles on first try.
Frequently Asked Questions
What is Convex?
Convex is a free testing & qa skill for AI coding agents. This skill provides comprehensive Convex development guidance to avoid common mistakes and ensure code compiles on first try.. It provides a specialized system prompt that configures your agent with testing & qa expertise.
How do I use Convex with Claude Code?
Run npx playbooks add skill gmickel/my-claude-skills --skill convex in your terminal to install Convex into your Claude Code session. It works immediately after installation.
Which AI coding agents work with Convex?
Convex is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Is Convex free to use?
Yes, Convex is completely free and open source. The full source is available on GitHub at https://github.com/gmickel/my-claude-skills/tree/main/convex. You only need a subscription to the AI agent you use it with.
