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claude-flow-novice

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Claude Flow Novice - Advanced orchestration platform for multi-agent AI workflows with CFN Loop architecture Includes Local RuVector Accelerator and all CFN skills for complete functionality.

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# Google Sheets CFN Loop Architecture ## Overview Specialized CFN Loop implementation for Google Sheets operations with **micro-sprint decomposition** to prevent "doing too much at once" while progressively achieving complex goals. ## Architecture Diagram ``` ┌─────────────────────────────────────────────────────────────────┐ USER REQUEST "Create sales dashboard with pivot tables and automation" └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ GOOGLE SHEETS COORDINATOR Agent: google-sheets-coordinator Role: Orchestrate micro-sprint execution └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────┴──────────────┐ ┌──────────────────┐ ┌──────────────────────┐ DECOMPOSITION SPRINT ORDERING Skill Skill Break request Resolve deps into sprints │──────▶ Topological sort (max 5 ops) Generate exec plan └──────────────────┘ └──────────┬───────────┘ ┌─────────────────────────────────────────────────────────────────┐ EXECUTION PLAN Level 0: [schema_001] Level 1: [data_001, integration_001] (parallel possible) Level 2: [formula_001] Level 3: [formatting_001] Level 4: [automation_001] └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────┐ FOR EACH LEVEL (Sequential) FOR EACH SPRINT (Parallel if safe) └─────────────┬───────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ LOOP 3: IMPLEMENTERS Agents execute sprint operations in parallel ├─────────────────────────────────────────────────────────────────┤ [google-sheets-schema-designer] (if schema sprint) [google-sheets-formula-engineer] (if formula sprint) [google-sheets-data-transformer] (if data sprint) [google-sheets-api-integrator] (if integration sprint) └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ SELF-VALIDATION (Loop 3) Skill: google-sheets-validation Each agent validates own work before completion - Schema exists? - Data populated? - Formulas correct? - No errors? └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ LOOP 3 GATE CHECK (Test-Driven) Orchestrator collects validation results Calculate pass rate: passes / total_tests IF pass_rate < threshold (e.g., 0.95): GATE FAILS Wake Loop 3 for iteration N+1 Skip Loop 2 (no point reviewing broken work) IF pass_rate threshold: GATE PASSES Signal Loop 2 to start └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ LOOP 2: VALIDATORS Wait for gate pass signal via coordination layer Review Loop 3 work in parallel ├─────────────────────────────────────────────────────────────────┤ [google-sheets-data-validator] Confidence: 0.92 [google-sheets-formula-validator] Confidence: 0.88 [google-sheets-performance-analyst] Confidence: 0.95 └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ CONSENSUS CALCULATION Orchestrator collects validator scores Average: (0.92 + 0.88 + 0.95) / 3 = 0.917 IF consensus < threshold (e.g., 0.90): ITERATE (wake all agents for retry) IF consensus threshold: PROCEED to Product Owner └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ PRODUCT OWNER DECISION Agent: google-sheets-business-validator Reviews: Business requirements, deliverables, validation Decision: PROCEED Sprint complete, move to next ITERATE Retry current sprint ABORT Exit with error └─────────────────────┬───────────────────────────────────────────┘ ┌─────────────────────────────────────────────────────────────────┐ PROGRESS TRACKING Skill: google-sheets-progress Update state: completed sprints, current, remaining Calculate: 3/5 sprints complete (60%) └─────────────────────┬───────────────────────────────────────────┘ ┌────────────┴────────────┐ [More Sprints] [Final Validation] └────────────┬────────────┘ ┌─────────────────────────────────────────────────────────────────┐ COMPLETION REPORT All sprints: Complete Total sprints: 5 Iterations: 2 (1 retry on formula sprint) API calls: 47 / 100 quota Final validation: Passed Spreadsheet ready for use └─────────────────────────────────────────────────────────────────┘ ``` ## Key Innovations ### 1. Micro-Sprint Decomposition **Problem:** Complex Google Sheets requests overwhelming agents **Solution:** Break into atomic sprints (max 5 operations each) **Example:** ``` User Request: "Create sales dashboard with pivot tables" Decomposition: Sprint 1 (schema): Create Dashboard sheet, define columns Sprint 2 (data): Import sales data from CSV Sprint 3 (formula): Build pivot table formulas Sprint 4 (formatting): Apply conditional formatting Sprint 5 (automation): Add refresh trigger ``` ### 2. Progressive Achievement **Problem:** All-or-nothing execution leads to failure **Solution:** Sequential sprints build upon each other **Execution:** ``` Level 0: schema_001 Complete Level 1: data_001 Complete Level 2: formula_001 FAIL (retry) Level 2: formula_001 (retry) Complete Level 3: formatting_001 Complete Level 4: automation_001 Complete ``` ### 3. Test-Driven Validation **Problem:** Subjective confidence scoring (55% accuracy) **Solution:** Objective test execution (95%+ accuracy) **Gate Check:** ```bash # Loop 3 agents execute validation tests test_schema_exists.sh PASS test_columns_match.sh PASS test_data_populated.sh PASS test_formulas_no_errors.sh FAIL (1 #REF! error) test_formatting_applied.sh PASS Pass Rate: 4/5 = 0.80 < 0.95 threshold GATE FAILS Retry sprint ``` ### 4. Dependency-Aware Execution **Problem:** Sprints executing in wrong order **Solution:** Topological sort ensures prerequisites complete first **Dependencies:** ``` schema_001 (no deps) data_001 (depends on schema) formula_001 (depends on schema + data) automation_001 (depends on all above) ``` ## Sprint Type Specifications ### Schema Sprint **Purpose:** Establish spreadsheet structure **Operations:** - Create/rename sheets - Add/remove columns - Define named ranges - Set data types **Success Criteria:** - Sheets exist with expected names - Column headers match specification - Named ranges defined correctly **Agent:** google-sheets-schema-designer ### Data Sprint **Purpose:** Populate or transform data **Operations:** - Import data from external sources - Transform existing data - Merge/split columns - Clean/normalize values **Success Criteria:** - Data imported without errors - Transformations produce expected output - No data loss or corruption - Row counts match expectations **Agent:** google-sheets-data-transformer ### Formula Sprint **Purpose:** Add calculations and validation **Operations:** - Create formulas (simple to complex) - Add data validation rules - Implement conditional logic - Set up array formulas **Success Criteria:** - All formulas return expected types - No #REF!, #VALUE!, #N/A errors - Validation rules enforce constraints - Array formulas expand correctly **Agent:** google-sheets-formula-engineer ### Formatting Sprint **Purpose:** Apply visual formatting **Operations:** - Conditional formatting rules - Number/date formats - Cell styling (colors, fonts, borders) - Column widths/row heights **Success Criteria:** - Formatting rules apply to correct ranges - Conditional formatting triggers properly - Visual consistency maintained **Agent:** google-sheets-schema-designer ### Integration Sprint **Purpose:** Connect external data sources **Operations:** - Import from databases - Connect APIs - Link other spreadsheets - Set up IMPORTRANGE functions **Success Criteria:** - External connections established - Data syncs without errors - API quota not exceeded - Refresh triggers work correctly **Agent:** google-sheets-api-integrator ### Automation Sprint **Purpose:** Add scripts and triggers **Operations:** - Google Apps Script functions - Time-based triggers - Event-driven triggers - Custom functions **Success Criteria:** - Scripts execute without errors - Triggers fire on expected events - Custom functions return correct values - No infinite loop conditions **Agent:** google-sheets-api-integrator ## Coordination Protocols ### Loop 3 Completion ```bash # 1. Execute work # 2. Self-validate ./.claude/cfn-extras/skills/google-sheets-validation/validate-state.sh \ --sprint-id "$SPRINT_ID" \ --output-format json # 3. Signal completion coordination-signal "swarm:${TASK_ID}:${AGENT_ID}:done" "complete" # 4. Report results (CLI Mode - uses Redis coordination) # Task Mode: Simply return structured JSON output instead if [[ -n "${TASK_ID:-}" && -n "${AGENT_ID:-}" ]]; then redis-cli HSET "swarm:${TASK_ID}:${AGENT_ID}:result" \ confidence 0.95 \ deliverables '["sheet_created"]' \ tests_passed 5 \ tests_total 5 fi ``` ### Loop 2 Validation ```bash # 1. Wait for gate pass signal coordination-wait "swarm:${TASK_ID}:gate-passed" # 2. Review Loop 3 work ./.claude/cfn-extras/skills/google-sheets-validation/validate-state.sh \ --sprint-id "$SPRINT_ID" \ --validation-type comprehensive # 3. Report confidence score (CLI Mode) if [[ -n "${TASK_ID:-}" && -n "${AGENT_ID:-}" ]]; then redis-cli HSET "swarm:${TASK_ID}:${AGENT_ID}:result" confidence 0.92 fi ``` ## API Quota Management ### Rate Limiting ```bash # Enforce 300 requests/minute default ./.claude/cfn-extras/skills/google-sheets-api-coordinator/api-call.sh \ --operation "sheets.spreadsheets.values.update" \ --spreadsheet-id "$SPREADSHEET_ID" \ --rate-limit 300 ``` ### Quota Tracking ``` Decomposition Phase: Estimated API calls per sprint: schema_001: 3 calls data_001: 5 calls formula_001: 4 calls Total estimated: 12 calls Execution Phase: Actual API calls: schema_001: 3 calls data_001: 6 calls (1 retry) formula_001: 5 calls (1 extra validation) Total actual: 14 calls Quota Status: 14 / 100 (14% used) ``` ## Example Workflows ### Workflow 1: Simple Dashboard ``` Request: "Create sales dashboard with revenue totals" Sprints: 1. schema_001: Create Dashboard sheet, add columns (Date, Product, Revenue) 2. data_001: Import sales data from CSV (500 rows) 3. formula_001: Add SUM formula for total revenue 4. formatting_001: Apply number formatting to Revenue column Execution: Level 0: schema_001 Complete (3 API calls) Level 1: data_001 Complete (5 API calls) Level 2: formula_001 Complete (2 API calls) Level 3: formatting_001 Complete (1 API call) Total: 4 sprints, 11 API calls, 0 retries ``` ### Workflow 2: Complex Integration ``` Request: "Connect PostgreSQL database, sync inventory daily, alert on low stock" Sprints: 1. schema_001: Create Inventory sheet with columns 2. integration_001: Set up database connection via Apps Script 3. data_001: Initial inventory import (1000 products) 4. formula_001: Add low stock calculation (IF quantity < reorder_point) 5. formatting_001: Conditional format for low stock (red highlight) 6. automation_001: Daily sync trigger 7. automation_002: Email alert script for low stock Execution: Level 0: schema_001 Complete Level 1: integration_001 Complete (requires user auth) Level 2: data_001 FAIL (connection timeout) Level 2: data_001 (retry) Complete Level 3: formula_001, formatting_001 Complete (parallel) Level 4: automation_001, automation_002 Complete (parallel) Total: 7 sprints, 25 API calls, 1 retry ``` ### Workflow 3: Formula Error Recovery ``` Request: "Add VLOOKUP formulas to match product prices" Sprints: 1. schema_001: Add Price column 2. formula_001: Create VLOOKUP formula Execution: Level 0: schema_001 Complete Level 1: formula_001 Gate FAILS (pass rate 0.60) Tests: test_formula_syntax PASS test_formula_references FAIL (#REF! error - range not found) test_formula_returns_number FAIL (error value) Product Owner: ITERATE Level 1: formula_001 (retry) Gate PASSES (pass rate 1.00) Tests: test_formula_syntax PASS test_formula_references PASS test_formula_returns_number PASS Total: 2 sprints, 6 API calls, 1 retry (auto-recovery) ``` ## Performance Metrics ### Cost Optimization (CLI Mode) ``` Traditional Task Mode: 10 sprints × 4 agents/sprint × $0.150 = $6.00 CLI Mode with Coordinator: Coordinator spawn: $0.054 10 sprints × 4 agents/sprint × $0.012 (CLI) = $0.480 Total: $0.534 (91% savings) ``` ### Execution Time ``` Average Sprint Duration: Schema: 15-30 seconds Data: 30-60 seconds (depends on import size) Formula: 20-40 seconds Formatting: 10-20 seconds Integration: 60-120 seconds (API latency) Automation: 40-80 seconds (script deployment) Example: 5-sprint workflow 2-4 minutes total ``` ### Success Rates ``` Test-Driven Validation (v3.0): Loop 3 gate accuracy: 95%+ (objective tests) Loop 2 consensus accuracy: 90%+ (validator agreement) Overall success rate: 98% (1 retry per 50 sprints) Previous Confidence-Based (v1.x-2.x): Subjective scoring accuracy: 55% Overall success rate: 70% (3 retries per 10 sprints) ``` ## Troubleshooting Guide ### Issue: Circular Dependencies Detected **Symptom:** `CIRCULAR_DEPENDENCY` error during sprint ordering **Cause:** Sprint dependencies form a cycle **Solution:** ```bash # Review dependency graph ./.claude/cfn-extras/skills/google-sheets-sprint-order/order-sprints.sh \ --sprints-json /tmp/sprints.json # Check for cycles in output # Restructure operations to break cycle ``` ### Issue: API Quota Exceeded **Symptom:** `429 Too Many Requests` errors **Cause:** Too many API calls in short timeframe **Solution:** ```bash # Enable stricter rate limiting ./.claude/cfn-extras/skills/google-sheets-api-coordinator/api-call.sh \ --rate-limit 100 # Reduce from default 300 # Batch operations where possible # Add delays between sprints ``` ### Issue: Formula Sprint Keeps Failing **Symptom:** Loop 3 gate fails repeatedly on formula sprint **Cause:** Formula references non-existent cells or sheets **Solution:** ```bash # Check validation output ./.claude/cfn-extras/skills/google-sheets-validation/validate-state.sh \ --sprint-id formula_001 \ --output-format verbose # Review error messages for #REF! locations # Ensure schema sprint completed successfully # Validate cell references match actual sheet structure ``` ### Issue: Too Many Sprints Generated **Symptom:** `EXCEEDS_COMPLEXITY_LIMIT` error (>15 sprints) **Cause:** User request too complex for single workflow **Solution:** ```bash # Break into multiple user requests: Request 1: "Create basic sales dashboard structure and import data" Request 2: "Add pivot tables and formulas to sales dashboard" Request 3: "Add automation and email alerts to sales dashboard" ``` ## Integration with CFN Loop v3.0 ### Coordinator Spawning ```bash # CLI Mode (Production) npx claude-flow-novice agent-spawn google-sheets-coordinator \ --task-id "gs-$(date +%s)" \ --env REQUEST="Create sales dashboard" \ --env MODE="standard" \ --background # Task Mode (Debugging) Task("google-sheets-coordinator", " Execute Google Sheets CFN Loop: Request: 'Create sales dashboard' Mode: standard Return: Final results with completion report ") ``` ### Enhanced Monitoring (v3.0) ```bash # Orchestrator tracks agent health ./.claude/skills/cfn-loop-orchestration/orchestrate.sh \ --task-id "$TASK_ID" \ --mode standard \ --health-check-interval 30 # Automatic recovery from stuck agents # Enhanced waiting with progress tracking # Protocol compliance validation ``` ## Files Reference ### Skills - `.claude/cfn-extras/skills/google-sheets-decomposition/` - Request decomposition - `.claude/cfn-extras/skills/google-sheets-sprint-order/` - Dependency resolution - `.claude/cfn-extras/skills/google-sheets-progress/` - Progress tracking - `.claude/cfn-extras/skills/google-sheets-validation/` - State validation - `.claude/cfn-extras/skills/google-sheets-formula-builder/` - Formula generation - `.claude/cfn-extras/skills/google-sheets-api-coordinator/` - API management ### Agents - `.claude/cfn-extras/agents/google-sheets/google-sheets-coordinator.md` - Orchestrator - `.claude/cfn-extras/agents/google-sheets/google-sheets-schema-designer.md` - Loop 3 - `.claude/cfn-extras/agents/google-sheets/google-sheets-formula-engineer.md` - Loop 3 - `.claude/cfn-extras/agents/google-sheets/google-sheets-data-transformer.md` - Loop 3 - `.claude/cfn-extras/agents/google-sheets/google-sheets-api-integrator.md` - Loop 3 - `.claude/cfn-extras/agents/google-sheets/google-sheets-data-validator.md` - Loop 2 - `.claude/cfn-extras/agents/google-sheets/google-sheets-formula-validator.md` - Loop 2 - `.claude/cfn-extras/agents/google-sheets/google-sheets-performance-analyst.md` - Loop 2 - `.claude/cfn-extras/agents/google-sheets/google-sheets-business-validator.md` - Product Owner ### Commands - `.claude/commands/google-sheets/google-sheets-loop.md` - Slash command entry point ### Documentation - `.claude/cfn-extras/docs/GOOGLE_SHEETS_CFN_LOOP.md` - This file - `.claude/cfn-extras/skills/GOOGLE_SHEETS_SKILLS_README.md` - Skills overview ## Next Steps 1. **Set up Google Sheets API credentials** 2. **Test simple workflow**: `/google-sheets-loop "Add revenue column"` 3. **Test complex workflow**: `/google-sheets-loop "Create dashboard with pivot tables"` 4. **Monitor execution**: `tail -f /tmp/cfn-loop-*.log` 5. **Review results**: Check completion report and spreadsheet state ## Support For issues or questions: - Review troubleshooting guide above - Check skill documentation in `.claude/cfn-extras/skills/` - Examine agent profiles in `.claude/cfn-extras/agents/google-sheets/` - Test individual skills in isolation before full CFN Loop execution