Does it support different types of data fields?

Yes, it supports both 'badge' types (for yes/no/partial statuses) and 'text' types for free-form descriptions.

Will it update every existing agent in the database?

Yes, it automatically injects the new property key with null values into every agent entry in the detailed JSON data to maintain schema consistency.

What files does this skill modify in the repository?

The skill updates agents-detailed.json, groups.json, AgentTable.jsx, useAgentsData.js, FilterBar.jsx, and two GitHub issue templates.

Does it automatically handle UI filtering for new properties?

If the property is added to the 'packaging' or 'features' group and uses the 'badge' cell type, the skill will automatically add it to the FilterBar component.

AI Agent Property Manager

Name: AI Agent Property Manager
Author: PackmindHub

byPackmindHub

•

数据库管理

Automates the multi-step process of adding new comparison properties to the AI coding agents matrix across data files, UI components, and GitHub templates.

关于

The AI Agent Property Manager skill streamlines the complex workflow of expanding the PackmindHub coding agents comparison matrix. It automates the synchronization of new data fields across seven critical files, including JSON database schemas, React table components, data transformation hooks, and UI filters. By handling the boilerplate of property injection, this skill ensures that new features or metadata are tracked uniformly across the entire database while maintaining structural integrity in GitHub issue templates for future contributions.

主要功能

React component updates for dynamic table rendering
Global JSON data injection for all agent records
Automated multi-file schema synchronization
5 GitHub stars
Automatic filter configuration for 'badge' type properties
GitHub Issue template modification for data consistency

使用场景

Adding a new feature column like 'Terminal Access' to the agent comparison table
Expanding the matrix schema to include new classification groups
Introducing new performance metrics or metadata fields to the AI database

关于

主要功能

React component updates for dynamic table rendering
Global JSON data injection for all agent records
Automated multi-file schema synchronization
5 GitHub stars
Automatic filter configuration for 'badge' type properties
GitHub Issue template modification for data consistency

使用场景

Adding a new feature column like 'Terminal Access' to the agent comparison table
Expanding the matrix schema to include new classification groups
Introducing new performance metrics or metadata fields to the AI database