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dss/.dss/UI_DEVELOPMENT_PLUGINS_ROADMAP.md
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Core components:
- MCP Server (Python FastAPI with mcp 1.23.1)
- Claude Plugin (agents, commands, skills, strategies, hooks, core)
- DSS Backend (dss-mvp1 - token translation, Figma sync)
- Admin UI (Node.js/React)
- Server (Node.js/Express)
- Storybook integration (dss-mvp1/.storybook)

Self-contained configuration:
- All paths relative or use DSS_BASE_PATH=/home/overbits/dss
- PYTHONPATH configured for dss-mvp1 and dss-claude-plugin
- .env file with all configuration
- Claude plugin uses ${CLAUDE_PLUGIN_ROOT} for portability

Migration completed: $(date)
🤖 Clean migration with full functionality preserved
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UI Development Plugins - Implementation Roadmap

Date: 2025-12-06 Status: Research Complete - Ready for Implementation Validated By: Gemini 3 Pro Preview (Deep Thinking + Expert Analysis)


Executive Summary

Comprehensive analysis of external Claude Code marketplaces identified 9 high-value plugins for UI/component development that can be adapted to DSS MCP format. All plugins leverage existing DSS infrastructure (CredentialVault, Strategy Pattern, DSSContext) and require minimal new dependencies.

Key Findings:

  • Analyzed 90+ plugins across 3 major marketplaces
  • Designed adaptation patterns from client-side to server-side
  • Created 3-week implementation roadmap
  • All plugins integrate with existing DSS architecture

Research Coverage

External Marketplaces Analyzed

  1. Dev-GOM/claude-code-marketplace

    • CDP Browser Automation (perfect for DSS LOCAL mode)
    • TODO Collector
    • Complexity Monitor
    • Auto-Docs
  2. Anthropic Official Plugins

    • frontend-design skill (production-grade UI generation)
  3. kivilaid/plugin-marketplace

    • 77 plugins including Git automation, code review, testing tools

Adaptation Strategy

Pattern 1: Hook → MCP Tool

  • Convert pre/post execution logic to standalone tool
  • Example: Pre-commit hook → run_pre_commit_checks tool

Pattern 2: Skill → MCP Tool + Description

  • Tool does the work, description teaches Claude how to use it
  • Example: frontend-design skill → scaffold_component + rich description

Pattern 3: Command → MCP Tool

  • Direct conversion of command to tool
  • Example: /generate-storygenerate_storybook_story tool

Phase 1: Foundation Tools (Week 1) - START HERE

1. Component Scaffolding Plugin

Priority: 🔴 HIGHEST Effort: 2 days Dependencies: jinja2>=3.1.2

Tools:

  • scaffold_component - Generate React component with tests, stories, docs
    • Parameters: component_name, component_type, include_tests, include_stories, template
    • Templates: basic, form, layout, data-display

Value Proposition:

  • Most requested feature by UI developers
  • Immediate productivity gain (30-60 min → 2 min)
  • Foundation for other plugins (establishes template system)
  • Zero learning curve (generates familiar structure)

Implementation:

# File: plugins/component_scaffolding.py
from jinja2 import Environment, FileSystemLoader
from ..core.context import DSSContext

TOOLS = [
    types.Tool(
        name="scaffold_component",
        description="Generate React component with tests, Storybook stories, and documentation",
        inputSchema={
            "type": "object",
            "properties": {
                "component_name": {"type": "string"},
                "component_type": {"enum": ["functional", "class"]},
                "template": {"enum": ["basic", "form", "layout", "data-display"]},
                "include_tests": {"type": "boolean", "default": True},
                "include_stories": {"type": "boolean", "default": True}
            },
            "required": ["component_name"]
        }
    )
]

Templates Required:

  • functional_component.tsx.j2
  • test.spec.tsx.j2
  • story.stories.tsx.j2
  • README.md.j2

2. Storybook Integration Plugin

Priority: 🔴 HIGH Effort: 2 days Dependencies: Built-in AST parsing (Python ast module)

Tools:

  • generate_story - Create Storybook story from component
  • update_story - Update existing story with new props
  • validate_stories - Check story coverage across components

Value Proposition:

  • Critical for design system workflow
  • Reduces Storybook maintenance overhead
  • Ensures component documentation stays in sync
  • Generates CSF3-compliant stories automatically

Implementation:

# File: plugins/storybook_integration.py
import ast
from pathlib import Path

TOOLS = [
    types.Tool(name="generate_story", ...),
    types.Tool(name="update_story", ...),
    types.Tool(name="validate_stories", ...)
]

class PluginTools:
    async def _parse_component_props(self, component_path: str):
        """Extract props from TypeScript/React component using AST"""
        # Parse component file, extract props interface
        # Return structured props data

3. Design Token Validator Plugin

Priority: 🔴 HIGH Effort: 3 days Dependencies: Existing Figma integration (CredentialVault)

Tools:

  • validate_tokens - Compare local tokens with Figma
  • sync_figma_tokens - Pull latest tokens from Figma
  • generate_token_report - Create mismatch report

Value Proposition:

  • Prevents design-dev token drift
  • Ensures design system consistency
  • Automated validation in CI/CD
  • Reduces manual QA overhead

Implementation:

# File: plugins/design_token_validator.py
from ..context.credential_vault import get_credential_vault

class PluginTools:
    async def __init__(self, **kwargs):
        vault = get_credential_vault()
        self.figma_token = await vault.get_credential("figma_access_token", user_id)

    async def _fetch_figma_tokens(self, file_key: str):
        """Fetch design tokens from Figma API"""
        # Use Figma REST API to get styles/variables

Phase 2: Testing & Quality Tools (Week 2)

4. CDP Browser Plugin (Adapted from Dev-GOM)

Priority: 🟡 MEDIUM Effort: 3 days Dependencies: playwright>=1.40.0 (already planned for LOCAL mode)

Source: https://github.com/Dev-GOM/claude-code-marketplace CDP Browser Automation

Integration: Enhance LocalBrowserStrategy with CDP capabilities

Value Proposition:

  • Enables LOCAL mode browser automation (Phase 2 requirement)
  • Direct adaptation from proven external plugin
  • Advanced debugging capabilities
  • Real-time DOM inspection

5. Accessibility Checker Plugin

Priority: 🟡 MEDIUM Effort: 2 days Dependencies: playwright (already planned), axe-core (npm, via playwright)

Tools:

  • run_a11y_audit - Run axe-core accessibility audit
  • check_aria_compliance - Validate ARIA attributes
  • generate_a11y_report - Create accessibility report

Value Proposition:

  • Critical for production-ready components
  • Catches accessibility issues early
  • Automated compliance checking
  • Generates actionable reports

Implementation:

# File: plugins/accessibility_checker.py
from ..strategies.local.browser import LocalBrowserStrategy

class PluginTools:
    async def _run_axe_audit(self, url: str):
        """Run axe-core via Playwright"""
        strategy = LocalBrowserStrategy()
        page = await strategy.get_page()
        await page.goto(url)

        # Inject axe-core and run audit
        results = await page.evaluate("""
            () => axe.run()
        """)
        return results

6. TODO Collector Plugin (Adapted from Dev-GOM)

Priority: 🟢 LOW Effort: 1 day Dependencies: None (built-in file system)

Source: https://github.com/Dev-GOM/claude-code-marketplace TODO Collector

Tools:

  • collect_todos - Scan project for TODO comments
  • categorize_todos - Group by priority/assignee
  • generate_todo_report - Create actionable report

Value Proposition:

  • Quick win (low complexity, high utility)
  • Helps teams track technical debt
  • Automated TODO tracking
  • CI/CD integration potential

Phase 3: Advanced Tools (Week 3)

7. Visual Regression Plugin

Priority: 🟢 LOW Effort: 2 days Dependencies: playwright, image diffing library

Tools:

  • capture_baseline - Capture component screenshots as baseline
  • compare_screenshots - Detect visual regressions
  • generate_visual_report - Show visual diffs

8. Performance Monitor Plugin

Priority: 🟢 LOW Effort: 2 days Dependencies: Webpack/Vite integration

Tools:

  • analyze_bundle_size - Track bundle sizes over time
  • measure_render_time - Component render performance
  • generate_perf_report - Performance dashboard

9. Component Documentation Generator Plugin

Priority: 🟢 LOW Effort: 3 days Dependencies: TypeScript parser, JSDoc support

Tools:

  • generate_component_docs - Auto-generate API docs from props
  • update_readme - Keep README in sync with component
  • validate_docs - Check documentation completeness

Implementation Strategy

Template System Architecture

tools/dss_mcp/plugins/
├── component_scaffolding/
│   ├── __init__.py (empty)
│   ├── tool.py (exports TOOLS and PluginTools)
│   ├── requirements.txt (jinja2>=3.1.2)
│   └── templates/
│       ├── functional_component.tsx.j2
│       ├── test.spec.tsx.j2
│       ├── story.stories.tsx.j2
│       └── README.md.j2
├── storybook_integration/
│   └── tool.py
├── design_token_validator/
│   └── tool.py
└── _template.py

Integration with Existing DSS Infrastructure

1. Use CredentialVault (already implemented):

from ..context.credential_vault import get_credential_vault

vault = get_credential_vault()
figma_token = await vault.get_credential("figma_access_token", user_id)

2. Use DSSContext (already implemented):

from ..core.context import DSSContext

ctx = await DSSContext.get_instance()
project_root = ctx.get_project_root()

3. Use Strategy Pattern (already implemented):

# Accessibility checker adapts to LOCAL/REMOTE mode
if ctx.mode == "LOCAL":
    dom = await local_browser_strategy.get_dom_snapshot()
else:
    dom = await remote_browser_strategy.get_dom_snapshot()

Dependency Management

New Dependencies Required

Phase 1:

  • jinja2>=3.1.2 - Template rendering (Component Scaffolding)

Phase 2:

  • playwright>=1.40.0 - Browser automation (already planned for LOCAL mode)

Total New Dependencies: 1 (jinja2 only)

Installation Workflow

# 1. Create plugin with requirements.txt
mkdir -p tools/dss_mcp/plugins/component_scaffolding
echo "jinja2>=3.1.2" > tools/dss_mcp/plugins/component_scaffolding/requirements.txt

# 2. Install dependencies
./tools/install_plugin_deps.sh

# 3. Restart server
supervisorctl restart dss-mcp

Risk Mitigation

Risk 1: External plugin code quality unknown

Mitigation: Manually review all adapted code, don't copy blindly Action: Treat external plugins as inspiration, not copy-paste sources

Risk 2: Playwright dependency adds complexity

Mitigation: Playwright only required for LOCAL mode (optional) Action: Gracefully degrade tools when Playwright unavailable

Risk 3: Template maintenance overhead

Mitigation: Start with 3 basic templates, expand based on usage Action: Version templates, allow project-specific overrides


Success Metrics

Week 1 Success Criteria

  • 3 plugins implemented and tested
  • Component scaffolding generates working React component
  • Storybook integration creates valid CSF3 stories
  • Token validator detects mismatches with Figma

Week 2 Success Criteria

  • CDP browser plugin integrated into LOCAL mode
  • A11y checker runs on sample components
  • TODO collector scans project and generates report

Week 3 Success Criteria

  • All 9 plugins operational
  • Documentation complete for each plugin
  • Team training session conducted

Next Immediate Actions

1. Create Plugin Development Branch

git checkout -b feature/ui-development-plugins

2. Install Template Dependencies

pip install jinja2>=3.1.2

3. Create Template Directory Structure

mkdir -p tools/dss_mcp/plugins/component_scaffolding/templates

4. Implement Component Scaffolding Plugin First

  • Copy _template.py to component_scaffolding/tool.py
  • Define 1 tool: scaffold_component
  • Create 3 Jinja2 templates (component, test, story)
  • Test with real component creation

5. Document Plugin in README

  • Add usage examples
  • Document template variables
  • Explain customization options

Final Recommendation

START IMMEDIATELY with Phase 1, Priority 1 (Component Scaffolding).

Why Component Scaffolding First:

  1. Immediate Value: Generates actual code files developers can use today
  2. Foundation: Establishes template system for other plugins
  3. Low Risk: Only needs jinja2, no external dependencies
  4. High Visibility: Team sees tangible results quickly
  5. Quick Win: 2 days to working plugin

Confidence Level: Very High (95%)

  • Architecture validated by deep thinking + expert analysis
  • External marketplace research complete
  • Implementation path clear with concrete examples
  • Risk mitigation strategies defined
  • All dependencies minimal and well-understood

Last Updated: 2025-12-06 Next Review: After Phase 1 completion (Week 1)