Component inventory, ObjectStack integration roadmap, and AI development prompts

[Copilot]

Establishes baseline component inventory (72 total, 58 complete), 8-week development plan for ObjectStack client integration, and comprehensive AI development prompts for each core component.

Component Inventory

Created comprehensive documentation (COMPONENT_INVENTORY.md) covering:

• 9 core categories: Basic (7), Form (15), Layout (9), Data Display (6), Complex (10), Navigation (2), Overlay (9), Feedback (4), Disclosure (2)
• 5 plugin packages: Charts (3), Editor (1), Kanban (1), Markdown (1), Object (2)
• ObjectStack integration status: ✅ Adapter operational, 🔴 UI components need integration

AI Development Prompts

Created AI_DEVELOPMENT_PROMPTS.md with detailed prompts for AI-assisted component development:

• 15+ component prompts covering all categories (Basic, Form, Layout, Data Display, Complex, Plugins)
• Structured format for each component: Requirements, Props, Implementation guidelines, Example schemas, Test cases
• ObjectStack integration patterns for data-driven components (DataTable, ObjectTable, ObjectForm, FilterBuilder, Kanban)
• Implementation best practices including component structure templates and testing patterns
• Ready-to-use prompts for AI assistants to accelerate component development

Each prompt provides complete guidance on building components with Shadcn/UI, Tailwind CSS, and ObjectStack integration.

Critical Gaps

Component	Gap	Impact
ObjectTable/ObjectForm	No metadata-driven UI generation	🔴 Flagship components blocked
Filter Builder	No FilterNode AST conversion	🔴 Query filtering non-functional
Kanban	No CRUD/state persistence	🔴 Popular component incomplete
File Upload	No storage backend	🟡 Common use case missing
Chart	Static data only	🟡 Dashboard utility limited
Tree View	No hierarchical queries	🟡 Organizational data unsupported

8-Week Priority Plan

Phase 1 (Weeks 1-4): Critical ObjectStack Integration

• Metadata → UI generation (ObjectTable, ObjectForm)
• Filter UI → FilterNode AST (Filter Builder)
• Full CRUD + drag-drop persistence (Kanban)

Phase 2 (Weeks 5-6): High Priority

• File storage adapter integration
• Chart data binding to ObjectStack queries
• Tree View hierarchical query support

Phase 3 (Weeks 7-8): Quality & Documentation

• Test coverage to 85%+
• Showcase examples
• Integration guides

ObjectStackAdapter Status

Already operational with:

import { createObjectStackAdapter } from '@object-ui/core';

const dataSource = createObjectStackAdapter({
  baseUrl: process.env.API_URL,
  token: process.env.API_TOKEN
});

// Full CRUD operational
await dataSource.find('users', {
  $filter: { status: 'active', age: { $gte: 18 } }, // Auto-converts to FilterNode AST
  $orderby: { createdAt: 'desc' },
  $top: 20
});

Next step: wire components to leverage this adapter for metadata-driven UI generation using the AI development prompts as guidance.

Original prompt

整理现有组件清单，基于新的objectstack client，安排下一步的优先开发计划。

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💡 You can make Copilot smarter by setting up custom instructions, customizing its development environment and configuring Model Context Protocol (MCP) servers. Learn more Copilot coding agent tips in the docs.

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Project	Deployment	Review	Updated (UTC)
objectui-docs	Error		Jan 21, 2026 2:13pm
objectui-site	Ready	Preview, Comment	Jan 21, 2026 2:13pm

[huangyiirene]

只需要英文版 @copilot

[hotlong]

@copilot 继续

[Copilot]

@copilot 继续

Removed Chinese version. Now only the English component inventory (COMPONENT_INVENTORY.md) remains. Commit: 93a20e2

[github-actions]

✅ All checks passed!

• ✅ Type check passed
• ✅ Tests passed
• ✅ Lint check completed

[hotlong]

@copilot 帮我编写每个核心组件的AI开发提示词

[Copilot]

@copilot 帮我编写每个核心组件的AI开发提示词

Created AI_DEVELOPMENT_PROMPTS.md with detailed development prompts for each core component. The document includes:

• 15+ component prompts covering Basic, Form, Layout, Data Display, Complex, and Plugin components
• Structured format with Requirements, Props, Implementation guidelines, Example schemas, and Test cases
• ObjectStack integration patterns for data-driven components
• Implementation best practices and code templates
• Testing templates to ensure 85%+ coverage

Each prompt is ready to be used with AI assistants to guide component development. Commit: fbb9a67