Created comprehensive S² multi-agent swarm development plan integrating with ongoing InfraFabric S² API expansion. Mission Files: - S2_MISSION_1_BACKEND_SWARM.md: 10 Haiku agents for backend APIs (50+ endpoints, 29 tables) - S2_MISSION_2_FRONTEND_SWARM.md: 10 Haiku agents for owner dashboard (8 modules) - S2_MISSION_3_INTEGRATION_SWARM.md: 10 Haiku agents for testing/deployment - S2_MISSION_4_SONNET_PLANNER.md: 1 Sonnet coordinator for all swarms - NAVIDOCS_S2_DEVELOPMENT_ROADMAP.md: Complete roadmap with all intelligence dossier features Features Covered (11 core modules): 1. Camera Monitoring - Live RTSP/ONVIF feeds, motion detection 2. Inventory Tracking - Photo catalog, €15K-€50K value recovery 3. Maintenance Log - Service history, provider ratings 4. Multi-Calendar - Service, warranty, onboard, work roadmap 5. Expense Tracking - Receipt OCR, multi-user splitting 6. Contact Directory - One-tap call, WhatsApp integration 7. Warranty Dashboard - Expiration countdown, alerts 8. VAT/Tax Compliance - EU exit log, 18-month timer 9. Intelligent Search - Faceted results (NO long lists) 10. WhatsApp Notifications - 5 notification types 11. Document Versioning - SHA-256 hashes, IF.TTT compliance Integration with InfraFabric S²: - Shared MCP bridge for agent coordination - IF.TTT standards applied (same as bridge patches) - Reuses swarm patterns from InfraFabric - 4-session sequential execution Budget & Timeline: - 31 agents total (30 Haiku + 1 Sonnet) - $12-$18 total cost (vs $90 original sessions) - 16-22 hours development time - Target launch: December 10, 2025 Status: ✅ READY TO LAUNCH Citation: if://roadmap/navidocs-s2-development-2025-11-14 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
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S² Mission 4: Sonnet Planner/Coordinator
Agent ID: S2-PLANNER Model: Claude Sonnet 4.5 Role: Swarm orchestrator across all 3 missions Estimated Duration: Concurrent with all missions (12-20 hours total)
🎯 Planner Responsibilities
1. Mission Sequencing
Task: Coordinate execution order of 3 swarms
Mission 1 (Backend) → 6-8 hours
↓ (Backend APIs ready)
Mission 2 (Frontend) → 6-8 hours
↓ (UI + APIs integrated)
Mission 3 (Integration/Testing) → 4-6 hours
↓
Production Deployment ✅
Critical Dependencies:
- Mission 2 CANNOT start until Mission 1 complete
- Mission 3 CANNOT start until Missions 1 & 2 complete
- Monitor blocker chains (if Backend API fails, unblock Frontend immediately)
2. Blocker Resolution
Task: Unblock agents across all swarms
Common Blockers:
- Agent B-01 (Migrations) takes longer than expected → Notify Frontend swarm of delay
- Backend API 500 errors → Debug with Backend agent, provide fix to Frontend
- Frontend component needs API change → Coordinate with Backend agent for quick patch
- Integration test failures → Identify root cause (Backend? Frontend? Both?)
Protocol:
{
"blocker_id": "BLOCK-001",
"agent_blocked": "S2-FRONTEND-H03",
"root_cause": "Backend B-02 returns 500 on photo upload",
"assigned_to": "S2-BACKEND-H02",
"priority": "P0",
"eta_resolution": "30 minutes"
}
3. Idle Task Management
Task: Assign productive work to agents waiting for dependencies
Idle Tasks (Priority Order):
- Write tests - Agents can write tests before implementation
- Documentation - OpenAPI specs, Storybook stories, user guides
- Code review - Review other agents' work
- Performance optimization - Profile existing code, identify bottlenecks
- Help blocked agents - Pair programming, debugging
Example:
Frontend Agent F-03 is waiting for Backend B-02 to finish.
→ S2-PLANNER assigns: "Write Jest tests for Inventory component"
→ F-03 writes tests with mock data
→ When B-02 completes, F-03 switches mock data to real API
4. Quality Assurance
Task: Enforce IF.TTT compliance across all agents
Traceable:
- Every API endpoint documented (OpenAPI 3.0)
- Every UI component documented (Storybook)
- Git commits atomic (one feature per commit)
- IF.citation references in code comments
Transparent:
- Decision log maintained (why certain tech choices made)
- Token cost tracked per agent
- Blocker log maintained (who was blocked, for how long, why)
- Performance metrics logged (API latency, page load time)
Trustworthy:
- All tests passing (unit + integration + E2E)
- Security audit complete (no critical vulnerabilities)
- Accessibility audit complete (WCAG 2.1 AA)
- Production deployment successful (zero downtime)
5. Integration with Ongoing InfraFabric S²
Task: Coordinate NaviDocs development with InfraFabric API expansion
InfraFabric Context:
- InfraFabric is expanding API reach across hosting/cloud/SIP/billing
- MCP bridge tested and production-ready (92% philosophy compliance)
- Multi-agent swarm patterns validated
NaviDocs Integration:
- Shared MCP Bridge - Use same message bus for agent coordination
- IF.TTT Standards - Apply same audit trail patterns from bridge
- Swarm Patterns - Reuse InfraFabric swarm coordination logic
- Git Workflow - Feature branches for NaviDocs work, merge to main when complete
Coordination Protocol:
- NaviDocs agents report to S2-PLANNER
- S2-PLANNER reports NaviDocs progress to user
- If InfraFabric agents need NaviDocs data (e.g., for hosting automation), coordinate via MCP bridge
📊 Planner Metrics
Track These Metrics:
- Swarm efficiency - How many agents idle vs working (target: <10% idle time)
- Blocker resolution time - Average time to unblock agent (target: <30 min)
- Token cost - Sonnet + Haiku usage (budget: $10-$15 for all 4 missions)
- Time to completion - Mission 1-3 total time (target: <20 hours)
- Quality score - % tests passing, Lighthouse score, security audit (target: >90%)
🚀 Planner Workflow
Phase 1: Mission 1 (Backend)
1. Spawn 10 Haiku agents (B-01 through B-10)
2. Monitor B-01 completion (migrations)
3. Unblock B-02 through B-10 when migrations done
4. Track progress (50+ APIs implemented?)
5. Run integration tests (all APIs functional?)
6. Approve Mission 1 completion → Start Mission 2
Phase 2: Mission 2 (Frontend)
1. Spawn 10 Haiku agents (F-01 through F-10)
2. Monitor API integration (Frontend calling Backend APIs)
3. Debug API errors (coordinate with Backend agents if needed)
4. Track progress (8 dashboard modules complete?)
5. Run E2E tests (user flows working?)
6. Approve Mission 2 completion → Start Mission 3
Phase 3: Mission 3 (Integration/Testing)
1. Spawn 10 Haiku agents (I-01 through I-10)
2. Monitor test suite execution (Playwright, Jest, Lighthouse)
3. Fix critical bugs (coordinate with Backend/Frontend agents)
4. Performance optimization (lazy loading, caching)
5. Security audit (penetration testing, vulnerability scan)
6. Approve Mission 3 completion → Production Deployment ✅
🔗 Context Links
Required Reading:
- Complete Dossier: https://github.com/dannystocker/navidocs/blob/main/NAVIDOCS_COMPLETE_INTELLIGENCE_DOSSIER.md
- InfraFabric Coordination: https://github.com/dannystocker/infrafabric/blob/claude/debug-session-freezing-011CV2mM1FVCwsC8GoBR2aQy/CLAUDE-CODE-CLI-START-HERE.md
Estimated Cost: $4-$6 (Sonnet usage across 3 missions) Estimated Time: 12-20 hours (concurrent with all missions)
Generated: 2025-11-14 Citation: if://mission/navidocs-s2-planner-2025-11-14