Convex Component Authoring
Generates reusable, parameterized convex component definitions for complex simulations and environments.
Install on your platform
We auto-selected Claude Code based on this skill’s supported platforms.
Run in terminal (recommended)
claude mcp add convex-component-authoring npx -- -y @trustedskills/convex-component-authoring
Or manually add to ~/.claude/settings.json
{
"mcpServers": {
"convex-component-authoring": {
"command": "npx",
"args": [
"-y",
"@trustedskills/convex-component-authoring"
]
}
}
}Requires Claude Code (claude CLI). Run claude --version to verify your install.
About This Skill
The convex-component-authoring skill enables AI agents to generate and deploy reusable UI components within the Convex framework, streamlining frontend development workflows. It automates the creation of type-safe React components that integrate seamlessly with Convex's backend data layer.
When to use it
- Rapidly prototype new user interface sections without writing boilerplate code from scratch.
- Standardize component architecture across a team by enforcing consistent patterns via AI generation.
- Extend existing Convex applications with complex interactive elements like dashboards or forms.
- Refactor legacy UI code into modular, maintainable components using natural language instructions.
Key capabilities
- Generates fully functional React components compatible with the Convex ecosystem.
- Produces type-safe code that aligns with Convex's database schema definitions.
- Supports deployment-ready artifacts ready for integration into existing projects.
Example prompts
- "Create a reusable data table component that fetches and displays user records from a Convex query."
- "Generate a form component with validation logic for creating new project entries in my Convex backend."
- "Build an interactive dashboard widget that visualizes real-time analytics using Convex functions."
Tips & gotchas
Ensure your Convex environment is properly configured before attempting to generate components, as the skill relies on specific framework conventions. While the AI can produce complex logic, always review generated code for edge cases or security implications before deployment.
Tags
TrustedSkills Verification
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Security Audits
| Gen Agent Trust Hub | Pass |
| Socket | Pass |
| Snyk | Pass |
🌐 Community
Passed automated security scans.