Initial commit: Clean DSS implementation

Migrated from design-system-swarm with fresh git history. Old project history preserved in /home/overbits/apps/design-system-swarm 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
2025-12-09 18:45:48 -03:00
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+# ZEN CHALLENGE: Cross-Reality Design System Audit
+
+**A Multi-Agent Collaboration Challenge for DSS PowerTools**
+
+---
+
+## Challenge Overview
+
+**Difficulty**: EXPERT
+
+**Agents Required**: 5 (Architect, Local Scout, Staging Inspector, Production Monitor, Synthesizer)
+
+**Estimated Duration**: 4-6 hours
+
+**Objective**: Perform a comprehensive design system audit across three runtime environments (local, staging, production) using adaptive LOCAL/REMOTE modes, then synthesize findings into an actionable improvement plan.
+
+**Prerequisites**:
+- DSS PowerTools plugin installed
+- Access to local development environment
+- Access to staging.dss.overbits.luz.uy (REMOTE)
+- Access to dss.overbits.luz.uy (REMOTE)
+- Task queue MCP server running
+- Browser-logger.js active on both remote environments
+
+---
+
+## Challenge Scenario
+
+Your design system team needs to understand the current state of design token adoption, component consistency, and runtime health across all environments. A previous audit was done 3 months ago, but the system has evolved significantly. You need a fresh, comprehensive analysis.
+
+**Business Context**:
+- 47 React components in the library
+- 6 teams consuming the design system
+- Recent reports of "visual inconsistencies" between environments
+- Performance concerns on production
+- Need data-driven prioritization for Q1 improvements
+
+**Technical Context**:
+- Design tokens defined in `tokens/` directory
+- Components in `components/` directory
+- Storybook for visual testing
+- Multiple deployment environments
+- Browser logs captured via auto-sync system
+
+---
+
+## Agent Roles & Responsibilities
+
+### Agent 1: ARCHITECT (Planning & Coordination)
+
+**Mode**: N/A (coordination only)
+
+**Responsibilities**:
+1. Design the audit strategy
+2. Define success criteria
+3. Create audit checklist
+4. Coordinate other agents via task-queue
+5. Monitor overall progress
+
+**Tools Available**:
+- `/dss-status` - Check mode capabilities
+- Task queue for agent coordination
+- Planning skills
+
+**Deliverables**:
+- Audit strategy document
+- Success criteria checklist
+- Agent task assignments
+- Coordination plan
+
+---
+
+### Agent 2: LOCAL SCOUT (Local Development Audit)
+
+**Mode**: LOCAL
+
+**Environment**: Developer's local machine
+
+**Responsibilities**:
+1. Audit local component library
+2. Extract design tokens from source
+3. Capture Storybook screenshots
+4. Check for hardcoded values
+5. Analyze component adoption patterns
+
+**Tools Available**:
+- `/dss-config set local` - Switch to LOCAL mode
+- `/dss-audit components/` - Component audit
+- `/dss-extract src/ --tokens` - Token extraction
+- `/dss-screenshot Button --story all` - Capture screenshots
+- `/dss-analyze components/` - Pattern analysis
+- Direct filesystem access via LOCAL strategy
+
+**Deliverables**:
+- Component audit report (hardcoded values, token usage)
+- Extracted token inventory
+- Screenshot collection from Storybook
+- Local console logs
+- Filesystem scan results
+
+**Session Data to Share**:
+- Local token inventory (JSON)
+- Screenshot URLs/paths
+- Component analysis results
+- Session ID for correlation
+
+---
+
+### Agent 3: STAGING INSPECTOR (Staging Environment Audit)
+
+**Mode**: REMOTE
+
+**Environment**: staging.dss.overbits.luz.uy
+
+**Responsibilities**:
+1. Audit staging deployment
+2. Collect browser logs from staging users
+3. Capture runtime screenshots
+4. Check for console errors
+5. Analyze network performance
+6. Compare staging vs local tokens
+
+**Tools Available**:
+- `/dss-config set remote` - Switch to REMOTE mode
+- `/dss-logs --session latest` - Get browser logs
+- `/dss-screenshot .dashboard` - Server-side screenshots
+- `/dss-errors --last 24h` - Error analysis
+- `/dss-diagnostic --performance` - Performance metrics
+- Remote API strategy
+
+**Deliverables**:
+- Browser log analysis (errors, warnings)
+- Staging screenshot collection
+- Network performance report
+- Error rate trends
+- DOM snapshot analysis (Shadow State)
+
+**Session Data to Share**:
+- Session ID(s) from staging users
+- Error logs categorized by severity
+- Performance metrics
+- Screenshot comparison baseline
+
+---
+
+### Agent 4: PRODUCTION MONITOR (Production Environment Audit)
+
+**Mode**: REMOTE
+
+**Environment**: dss.overbits.luz.uy (production)
+
+**Responsibilities**:
+1. Monitor production health
+2. Analyze real user browser logs
+3. Identify critical errors
+4. Compare production vs staging
+5. Visual regression detection
+6. Performance benchmarking
+
+**Tools Available**:
+- `/dss-config set remote` - Switch to REMOTE mode
+- `/dss-logs --production --last 7d` - Week of logs
+- `/dss-errors --severity critical` - Critical errors only
+- `/dss-diagnostic --full` - Complete system diagnostic
+- `/dss-screenshot --compare staging` - Visual regression
+- Remote monitoring tools
+
+**Deliverables**:
+- Production health dashboard
+- Critical error report
+- Visual regression findings
+- Performance comparison (staging vs prod)
+- User impact analysis
+
+**Session Data to Share**:
+- Production session IDs
+- Critical error details
+- Performance deltas
+- Visual regression screenshots
+
+---
+
+### Agent 5: SYNTHESIZER (Cross-Environment Analysis)
+
+**Mode**: Context-aware (analyzes data from all modes)
+
+**Responsibilities**:
+1. Aggregate findings from all agents
+2. Identify cross-environment discrepancies
+3. Correlate errors to root causes
+4. Prioritize issues by impact
+5. Generate comprehensive report
+6. Create Q1 improvement roadmap
+
+**Tools Available**:
+- Task queue to fetch agent outputs
+- Data correlation algorithms
+- Report generation
+- Prioritization framework
+
+**Deliverables**:
+- Executive Summary (1 page)
+- Detailed Findings Report (by category)
+- Cross-Environment Discrepancy Matrix
+- Prioritized Issue Backlog
+- Q1 Improvement Roadmap
+- Visual Regression Gallery
+
+---
+
+## Challenge Phases
+
+### Phase 1: Setup & Planning (30 minutes)
+
+**Architect Agent Tasks**:
+1. Review challenge requirements
+2. Create audit checklist
+3. Define success criteria:
+   - All 3 environments audited
+   - Token discrepancies identified
+   - Error correlation complete
+   - Visual regressions documented
+   - Actionable recommendations provided
+4. Create task queue entries for each agent
+5. Share coordination plan
+
+**All Agents**:
+- Verify DSS PowerTools plugin installed
+- Check mode capabilities: `/dss-status`
+- Confirm network access to remote environments
+- Review session ID strategy
+
+---
+
+### Phase 2: Parallel Environment Audits (2-3 hours)
+
+**Local Scout** (LOCAL mode):
+```bash
+# Switch to LOCAL mode
+/dss-config set local
+
+# Verify capabilities
+/dss-status
+
+# Audit components
+/dss-audit components/ --deep
+
+# Extract tokens
+/dss-extract src/tokens/ --output local-tokens.json
+
+# Capture Storybook screenshots
+/dss-screenshot Button --story primary,secondary,disabled
+/dss-screenshot Card --story default,elevated
+/dss-screenshot Input --story default,error,disabled
+
+# Analyze patterns
+/dss-analyze components/ --patterns tokens,hardcoded,inconsistencies
+
+# Check local console
+/dss-logs --local --last 1h
+
+# Export results
+/dss-export-session local-audit-{timestamp}
+```
+
+**Staging Inspector** (REMOTE mode):
+```bash
+# Switch to REMOTE mode
+/dss-config set remote
+
+# Configure remote URL
+export DSS_REMOTE_URL=https://staging.dss.overbits.luz.uy
+
+# Verify connection
+/dss-status
+
+# Get browser logs from staging
+/dss-logs --session latest --limit 500
+
+# Find errors
+/dss-errors --last 24h --severity high,critical
+
+# Capture runtime screenshots
+/dss-screenshot .dashboard --fullpage
+/dss-screenshot .component-library
+
+# Performance check
+/dss-diagnostic --performance --compare local
+
+# Get DOM snapshots (Shadow State)
+/dss-snapshot --latest
+
+# Export results
+/dss-export-session staging-audit-{timestamp}
+```
+
+**Production Monitor** (REMOTE mode):
+```bash
+# Switch to REMOTE mode
+/dss-config set remote
+
+# Configure production URL
+export DSS_REMOTE_URL=https://dss.overbits.luz.uy
+
+# Health check
+/dss-health --detailed
+
+# Get production logs (7 days)
+/dss-logs --last 7d --limit 1000
+
+# Critical errors only
+/dss-errors --severity critical --grouped
+
+# Performance benchmarks
+/dss-diagnostic --performance --baseline staging
+
+# Visual regression vs staging
+/dss-screenshot .header --compare staging
+/dss-screenshot .footer --compare staging
+
+# Monitor metrics
+/dss-metrics --uptime --error-rate --performance
+
+# Export results
+/dss-export-session prod-audit-{timestamp}
+```
+
+---
+
+### Phase 3: Data Correlation (1 hour)
+
+**Synthesizer Agent Tasks**:
+
+1. **Fetch Agent Data**:
+```python
+# Via task queue
+local_data = get_task_result("local-audit-{timestamp}")
+staging_data = get_task_result("staging-audit-{timestamp}")
+prod_data = get_task_result("prod-audit-{timestamp}")
+```
+
+2. **Token Consistency Analysis**:
+```python
+# Compare token inventories
+local_tokens = local_data['tokens']
+staging_tokens = extract_tokens_from_logs(staging_data['logs'])
+prod_tokens = extract_tokens_from_logs(prod_data['logs'])
+
+discrepancies = find_discrepancies(local_tokens, staging_tokens, prod_tokens)
+```
+
+3. **Error Correlation**:
+```python
+# Group errors by root cause
+staging_errors = staging_data['errors']
+prod_errors = prod_data['errors']
+
+correlated = correlate_errors(staging_errors, prod_errors)
+root_causes = identify_root_causes(correlated)
+```
+
+4. **Visual Regression Analysis**:
+```python
+# Compare screenshots
+local_screenshots = local_data['screenshots']
+staging_screenshots = staging_data['screenshots']
+prod_screenshots = prod_data['screenshots']
+
+regressions = detect_visual_regressions(
+    local_screenshots,
+    staging_screenshots,
+    prod_screenshots
+)
+```
+
+5. **Performance Comparison**:
+```python
+# Benchmark analysis
+perf_matrix = {
+    'local': local_data['performance'],
+    'staging': staging_data['performance'],
+    'production': prod_data['performance']
+}
+
+deltas = calculate_performance_deltas(perf_matrix)
+bottlenecks = identify_bottlenecks(deltas)
+```
+
+---
+
+### Phase 4: Report Generation (1 hour)
+
+**Synthesizer Deliverables**:
+
+1. **Executive Summary** (1 page):
+```markdown
+# Design System Audit: Cross-Environment Analysis
+
+## Key Findings
+- 12 token discrepancies between local and production
+- 5 critical errors affecting 23% of production users
+- 3 visual regressions in staging not present locally
+- 18% performance degradation in production vs local
+
+## Top 3 Priorities
+1. Fix critical ButtonGroup error (23% user impact)
+2. Align spacing tokens across environments (12 discrepancies)
+3. Optimize Card component rendering (18% perf impact)
+
+## Next Steps
+- See detailed findings in full report
+- Q1 roadmap attached
+```
+
+2. **Detailed Findings Report**:
+- Token Discrepancies (by category: color, spacing, typography)
+- Error Analysis (by severity, frequency, impact)
+- Visual Regressions (with screenshot comparisons)
+- Performance Benchmarks (by component, environment)
+- Component Adoption Metrics
+
+3. **Cross-Environment Discrepancy Matrix**:
+| Component | Local | Staging | Production | Discrepancy |
+|-----------|-------|---------|------------|-------------|
+| Button    | v2.1  | v2.1    | v2.0       | Version mismatch |
+| Card      | Tokens| Tokens  | Hardcoded  | Token usage |
+| Input     | OK    | OK      | OK         | Consistent |
+
+4. **Prioritized Issue Backlog**:
+```markdown
+## P0 - Critical (Fix this sprint)
+- [ ] ButtonGroup onClick error (23% users affected)
+- [ ] Card spacing inconsistency (visual regression)
+
+## P1 - High (Fix next sprint)
+- [ ] Align spacing tokens (12 discrepancies)
+- [ ] Optimize Card rendering (18% perf)
+- [ ] Fix Input placeholder color mismatch
+
+## P2 - Medium (Q1 roadmap)
+- [ ] Standardize component props across environments
+- [ ] Document token migration guide
+- [ ] Add performance monitoring
+```
+
+5. **Q1 Improvement Roadmap**:
+- Month 1: Fix critical errors and visual regressions
+- Month 2: Token alignment and performance optimization
+- Month 3: Documentation and monitoring improvements
+
+---
+
+## Success Criteria
+
+### Technical Success
+- [x] All 3 environments successfully audited
+- [x] Mode switching worked seamlessly (LOCAL ↔ REMOTE)
+- [x] Session IDs enabled data correlation
+- [x] Browser logs captured from remote environments
+- [x] Screenshots compared across environments
+- [x] Performance metrics benchmarked
+
+### Collaboration Success
+- [x] 5 agents coordinated via task queue
+- [x] Data shared between agents successfully
+- [x] No duplicate work across agents
+- [x] Findings synthesized coherently
+
+### Business Success
+- [x] Actionable recommendations generated
+- [x] Issues prioritized by user impact
+- [x] Q1 roadmap created
+- [x] Executive summary delivered
+- [x] Visual evidence provided (screenshots)
+
+---
+
+## Bonus Challenges
+
+1. **Auto-Fix Mode**: After identifying token discrepancies, create automated PR to fix them
+2. **Continuous Monitoring**: Set up recurring audits (weekly) with automated reporting
+3. **Visual Regression CI**: Integrate screenshot comparison into CI/CD pipeline
+4. **Performance Budget**: Define performance budgets and alert when exceeded
+5. **Multi-Project Audit**: Extend audit to multiple design system consumers
+
+---
+
+## Evaluation Rubric
+
+| Category | Points | Criteria |
+|----------|--------|----------|
+| **Environment Coverage** | 20 | All 3 environments audited thoroughly |
+| **Mode Mastery** | 20 | Correct LOCAL/REMOTE mode usage |
+| **Data Quality** | 15 | Complete, accurate data collection |
+| **Correlation Accuracy** | 15 | Correct cross-environment correlation |
+| **Agent Collaboration** | 10 | Effective task queue coordination |
+| **Report Quality** | 10 | Clear, actionable recommendations |
+| **Prioritization** | 5 | Issues prioritized by impact |
+| **Visual Evidence** | 5 | Screenshots and comparisons included |
+
+**Total**: 100 points
+
+**Passing Score**: 70 points
+
+---
+
+## Example Agent Coordination (Task Queue)
+
+```python
+# Architect creates coordination tasks
+create_task({
+    "title": "Local Environment Audit",
+    "assigned_to": "local-scout",
+    "description": "Audit local components and extract tokens",
+    "priority": 1
+})
+
+create_task({
+    "title": "Staging Environment Audit",
+    "assigned_to": "staging-inspector",
+    "description": "Audit staging deployment and browser logs",
+    "priority": 1,
+    "dependencies": []  # Can run in parallel
+})
+
+# Agents claim and complete tasks
+claim_task("local-environment-audit")
+start_task("local-environment-audit")
+
+# ... perform audit ...
+
+complete_task("local-environment-audit", result={
+    "tokens": local_tokens,
+    "screenshots": screenshot_paths,
+    "session_id": "local-audit-xyz789"
+})
+
+# Synthesizer fetches results
+local_results = get_task_result("local-environment-audit")
+```
+
+---
+
+## Tips for Success
+
+1. **Start with Planning**: Let the Architect agent create a clear strategy before diving in
+2. **Use Session IDs**: Correlation depends on tracking session IDs across agents
+3. **Parallel Execution**: Run Local Scout, Staging Inspector, and Prod Monitor in parallel
+4. **Share Data Early**: Don't wait until the end to share findings
+5. **Visual Evidence**: Screenshots are crucial for demonstrating issues
+6. **Prioritize by Impact**: Not all issues are equal - focus on user impact
+7. **Test Mode Switching**: Verify LOCAL/REMOTE modes work before starting
+8. **Document Assumptions**: Make assumptions explicit in reports
+
+---
+
+## Stretch Goals
+
+1. **Real-Time Dashboard**: Create live dashboard showing audit progress
+2. **Automated Fixes**: Generate PRs to fix identified issues
+3. **Slack Integration**: Post findings to team Slack channel
+4. **Trend Analysis**: Compare current audit to previous audits (3 months ago)
+5. **Cost Analysis**: Estimate development cost to fix each issue
+
+---
+
+## Challenge Completion
+
+When all agents have completed their work and the Synthesizer has generated the final report, submit the following:
+
+1. Complete audit findings report
+2. Cross-environment discrepancy matrix
+3. Prioritized issue backlog
+4. Q1 improvement roadmap
+5. Screenshot gallery (regressions)
+6. Agent coordination logs (task queue)
+
+**Good luck, agents! This challenge will demonstrate the true power of multi-agent collaboration across runtime boundaries.**
+
+---
+
+**Challenge Created**: 2025-12-06
+**Difficulty**: EXPERT
+**Estimated Duration**: 4-6 hours
+**Success Rate**: TBD (first run)