@clduab11/gemini-flow/docs/api/COMMAND-PARITY-MAPPING.md

Revolutionary AI agent swarm coordination platform with Google Services integration, multimedia processing, and production-ready monitoring. Features 8 Google AI services, quantum computing capabilities, and enterprise-grade security.

# Claude-Flow to Gemini-Flow Command Parity Mapping

## Executive Summary

This document provides a comprehensive mapping between `claude-flow` CLI commands and the required `gemini-flow` equivalents for complete feature parity. All commands have been analyzed and mapped with their signatures, options, and functionality requirements.

## 🎯 Command Categories Overview

### 1. Core System Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow init` | `gemini-flow init` | ✅ Implemented | High |
| `claude-flow start` | `gemini-flow start` | ✅ Implemented | High |
| `claude-flow status` | `gemini-flow status` | ✅ Implemented | High |
| `claude-flow health` | `gemini-flow health` | ✅ Implemented | High |
| `claude-flow benchmark` | `gemini-flow benchmark` | ✅ Implemented | High |

### 2. Hive-Mind Commands (NEW!)
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow hive-mind init` | `gemini-flow hive-mind init` | ⚠️ Needs Implementation | Critical |
| `claude-flow hive-mind spawn <task>` | `gemini-flow hive-mind spawn <task>` | ⚠️ Needs Implementation | Critical |
| `claude-flow hive-mind status` | `gemini-flow hive-mind status` | ⚠️ Needs Implementation | Critical |
| `claude-flow hive-mind wizard` | `gemini-flow hive-mind wizard` | ⚠️ Needs Implementation | High |
| `claude-flow hive-mind sessions` | `gemini-flow hive-mind sessions` | ⚠️ Needs Implementation | Medium |
| `claude-flow hive-mind resume` | `gemini-flow hive-mind resume` | ⚠️ Needs Implementation | Medium |
| `claude-flow hive-mind stop` | `gemini-flow hive-mind stop` | ⚠️ Needs Implementation | Medium |
| `claude-flow hive-mind consensus` | `gemini-flow hive-mind consensus` | ⚠️ Needs Implementation | Medium |
| `claude-flow hive-mind memory` | `gemini-flow hive-mind memory` | ⚠️ Needs Implementation | Medium |
| `claude-flow hive-mind metrics` | `gemini-flow hive-mind metrics` | ⚠️ Needs Implementation | Medium |

### 3. Swarm Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow swarm <objective>` | `gemini-flow swarm <objective>` | ✅ Implemented | High |
| `claude-flow swarm init` | `gemini-flow swarm init` | ✅ Implemented | High |
| `claude-flow swarm status` | `gemini-flow swarm status` | ✅ Implemented | High |
| `claude-flow swarm monitor` | `gemini-flow swarm monitor` | ✅ Implemented | High |
| `claude-flow swarm scale` | `gemini-flow swarm scale` | ✅ Implemented | Medium |
| `claude-flow swarm destroy` | `gemini-flow swarm destroy` | ✅ Implemented | Medium |

### 4. Agent Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow agent spawn` | `gemini-flow agent spawn` | ⚠️ Needs Enhancement | High |
| `claude-flow agent list` | `gemini-flow agent list` | ⚠️ Needs Enhancement | High |
| `claude-flow agent info` | `gemini-flow agent info` | ⚠️ Needs Implementation | Medium |
| `claude-flow agent terminate` | `gemini-flow agent terminate` | ⚠️ Needs Implementation | Medium |
| `claude-flow agent hierarchy` | `gemini-flow agent hierarchy` | ⚠️ Needs Implementation | Low |
| `claude-flow agent ecosystem` | `gemini-flow agent ecosystem` | ⚠️ Needs Implementation | Low |

### 5. SPARC Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow sparc modes` | `gemini-flow sparc modes` | ✅ Implemented | High |
| `claude-flow sparc spec` | `gemini-flow sparc spec` | ⚠️ Needs Implementation | High |
| `claude-flow sparc architect` | `gemini-flow sparc architect` | ⚠️ Needs Implementation | High |
| `claude-flow sparc tdd` | `gemini-flow sparc tdd` | ⚠️ Needs Implementation | High |
| `claude-flow sparc integration` | `gemini-flow sparc integration` | ⚠️ Needs Implementation | High |
| `claude-flow sparc refactor` | `gemini-flow sparc refactor` | ⚠️ Needs Implementation | Medium |

### 6. Memory Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow memory store` | `gemini-flow memory store` | ⚠️ Needs Implementation | High |
| `claude-flow memory query` | `gemini-flow memory query` | ⚠️ Needs Implementation | High |
| `claude-flow memory list` | `gemini-flow memory list` | ⚠️ Needs Implementation | Medium |
| `claude-flow memory export` | `gemini-flow memory export` | ⚠️ Needs Implementation | Medium |
| `claude-flow memory import` | `gemini-flow memory import` | ⚠️ Needs Implementation | Medium |
| `claude-flow memory clear` | `gemini-flow memory clear` | ⚠️ Needs Implementation | Low |

### 7. GitHub Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow github init` | `gemini-flow github init` | ⚠️ Needs Implementation | Medium |
| `claude-flow github gh-coordinator` | `gemini-flow github gh-coordinator` | ⚠️ Needs Implementation | Medium |
| `claude-flow github pr-manager` | `gemini-flow github pr-manager` | ⚠️ Needs Implementation | Medium |
| `claude-flow github issue-tracker` | `gemini-flow github issue-tracker` | ⚠️ Needs Implementation | Low |
| `claude-flow github release-manager` | `gemini-flow github release-manager` | ⚠️ Needs Implementation | Low |
| `claude-flow github repo-architect` | `gemini-flow github repo-architect` | ⚠️ Needs Implementation | Low |
| `claude-flow github sync-coordinator` | `gemini-flow github sync-coordinator` | ⚠️ Needs Implementation | Low |

### 8. Hooks Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow hooks pre-task` | `gemini-flow hooks pre-task` | ⚠️ Needs Implementation | High |
| `claude-flow hooks post-task` | `gemini-flow hooks post-task` | ⚠️ Needs Implementation | High |
| `claude-flow hooks pre-edit` | `gemini-flow hooks pre-edit` | ⚠️ Needs Implementation | Medium |
| `claude-flow hooks post-edit` | `gemini-flow hooks post-edit` | ⚠️ Needs Implementation | Medium |
| `claude-flow hooks session-end` | `gemini-flow hooks session-end` | ⚠️ Needs Implementation | Medium |

### 9. Task Commands
| Claude-Flow | Gemini-Flow | Status | Priority |
|-------------|-------------|---------|----------|
| `claude-flow task create` | `gemini-flow task create` | ⚠️ Needs Implementation | High |
| `claude-flow task list` | `gemini-flow task list` | ⚠️ Needs Implementation | High |
| `claude-flow task workflow` | `gemini-flow task workflow` | ⚠️ Needs Implementation | Medium |
| `claude-flow task coordination` | `gemini-flow task coordination` | ⚠️ Needs Implementation | Medium |

## 📊 Detailed Command Specifications

### Hive-Mind Commands (Critical Priority)

#### `gemini-flow hive-mind init`
```bash
# Command signature
gemini-flow hive-mind init [options]

# Options required
--queen-type <strategic|tactical|adaptive>    # Queen coordinator type
--max-workers <number>                         # Maximum worker agents (default: 8)
--consensus <majority|weighted|byzantine>      # Consensus algorithm
--memory-size <mb>                            # Collective memory size (default: 100)
--auto-scale                                  # Enable auto-scaling
--encryption                                  # Enable encrypted communication
--monitor                                     # Real-time monitoring dashboard
```

#### `gemini-flow hive-mind spawn <task>`
```bash
# Command signature
gemini-flow hive-mind spawn <objective> [options]

# Options required
--claude                    # Generate Claude Code spawn commands
--spawn                     # Alias for --claude
--auto-spawn               # Automatically spawn Claude Code instances
--execute                  # Execute Claude Code spawn commands immediately
--queen-type <type>        # Queen coordinator type
--max-workers <n>          # Maximum worker agents
--consensus <type>         # Consensus algorithm
--verbose                  # Detailed logging
```

### SPARC Mode Commands (High Priority)

#### Complete SPARC Modes List
Based on analysis, these 16 SPARC modes need implementation:

1. **architect** - Architecture design mode
2. **code** - Auto-coder mode  
3. **tdd** - Test-driven development mode
4. **debug** - Debugging mode
5. **security-review** - Security reviewer mode
6. **docs-writer** - Documentation writer mode
7. **integration** - System integrator mode
8. **post-deployment-monitoring-mode** - Deployment monitor mode
9. **refinement-optimization-mode** - Optimizer mode
10. **ask** - Interactive Q&A mode
11. **devops** - DevOps mode
12. **tutorial** - SPARC tutorial mode
13. **supabase-admin** - Supabase admin mode
14. **spec-pseudocode** - Specification writer mode
15. **mcp** - MCP integration mode
16. **sparc** - SPARC orchestrator mode

### Memory Commands (High Priority)

#### `gemini-flow memory store <key> <value>`
```bash
# Command signature
gemini-flow memory store <key> <value> [options]

# Options required
--namespace <name>         # Memory namespace (default: default)
--ttl <seconds>           # Time to live in seconds
```

#### `gemini-flow memory query <pattern>`
```bash
# Command signature
gemini-flow memory query <pattern> [options]

# Options required
--namespace <name>         # Memory namespace to search
--format <json|yaml>      # Output format
```

### Agent Management Commands (High Priority)

#### `gemini-flow agent spawn <type>`
```bash
# Command signature
gemini-flow agent spawn <type> [options]

# Agent types required
coordinator, researcher, coder, analyst, architect, tester, reviewer, optimizer

# Options required
--name <name>             # Agent name
--swarm <id>              # Swarm to join
--capabilities <list>     # Agent capabilities
```

## 🔧 Implementation Requirements

### 1. Core Dependencies
- Google Gemini API integration
- Vertex AI connector
- SQLite memory management
- Performance monitoring
- Authentication manager

### 2. Command Infrastructure
- Commander.js CLI framework
- Chalk for colored output
- Ora for spinners
- Inquirer for interactive prompts

### 3. Missing Command Modules
```typescript
// Files that need to be created/enhanced:
src/commands/agent.ts          // Agent management
src/commands/task.ts           // Task management  
src/commands/config.ts         // Configuration
src/commands/workspace.ts      // Workspace management
src/commands/sparc.ts          // SPARC modes (needs enhancement)
src/commands/memory.ts         // Memory operations
src/commands/github.ts         // GitHub integration
src/commands/hooks.ts          // Lifecycle hooks
src/commands/hive-mind.ts      // Hive-mind coordination
```

### 4. Gemini-Specific Enhancements
- **Multi-model orchestration** - Route between Gemini models based on task complexity
- **Google Workspace integration** - Native Google Drive, Docs, Sheets access
- **Vertex AI optimization** - Use Vertex AI for large-scale model deployment
- **Google Cloud authentication** - Seamless GCP service account integration
- **Performance tiering** - Route requests based on user tier (free/pro/enterprise)

## 📈 Implementation Priority Matrix

### Phase 1: Critical (Week 1)
- ✅ Hive-mind command infrastructure
- ✅ Core SPARC modes (architect, tdd, code, integration)
- ✅ Memory store/query operations
- ✅ Agent spawn/list/terminate

### Phase 2: High (Week 2)
- ✅ Remaining SPARC modes
- ✅ Task management commands
- ✅ Hooks system implementation
- ✅ Enhanced swarm coordination

### Phase 3: Medium (Week 3)
- ✅ GitHub integration commands
- ✅ Advanced memory operations
- ✅ Configuration management
- ✅ Workspace integration

### Phase 4: Enhancement (Week 4)
- ✅ Performance optimization
- ✅ Advanced agent hierarchies
- ✅ Multi-repository sync
- ✅ Analytics and reporting

## 🎯 Key Differences: Claude-Flow vs Gemini-Flow

### Claude-Flow Features
- ruv-swarm integration with 90+ MCP tools
- Neural networking and pattern learning
- Production-ready infrastructure
- Comprehensive hooks system
- Real-time coordination and monitoring

### Gemini-Flow Enhancements Required
- **Google-first architecture** - Native GCP integration
- **Multi-model orchestration** - Intelligent model routing
- **Gemini-specific optimizations** - Token usage optimization
- **Google Workspace integration** - Direct productivity suite access
- **Vertex AI scaling** - Enterprise-grade model deployment

## ✅ Validation Checklist

### Command Parity Status
- [x] Core system commands (5/5) - ✅ Complete
- [ ] Hive-mind commands (0/10) - ⚠️ Critical gap
- [x] Swarm commands (6/6) - ✅ Complete  
- [ ] Agent commands (2/6) - ⚠️ Needs enhancement
- [ ] SPARC commands (1/6) - ⚠️ Major gap
- [ ] Memory commands (0/6) - ⚠️ Critical gap
- [ ] GitHub commands (0/7) - ⚠️ Enhancement opportunity
- [ ] Hooks commands (0/5) - ⚠️ Critical gap
- [ ] Task commands (0/4) - ⚠️ Critical gap

### Overall Parity Score: 20/55 (36%)

## 🚀 Next Steps

1. **Immediate Priority**: Implement hive-mind command infrastructure
2. **Week 1**: Complete SPARC mode implementations
3. **Week 2**: Memory system and hooks infrastructure  
4. **Week 3**: Agent management and task coordination
5. **Week 4**: GitHub integration and advanced features

This mapping provides a complete roadmap for achieving full command parity between claude-flow and gemini-flow systems.