## 🔍 UNIFIED ANALYSIS COMMAND 10X
*Consolidated Analysis Preserving Full Depth of All Original Commands*
**Claude, execute UNIFIED ANALYSIS with CONFIGURABLE DEPTH and FOCUS, preserving all original command capabilities.**
### 🎯 **EXECUTION MODES** (Full Depth Preserved)
**Deep Analysis Mode** (Full deep_analysis_10x):
```bash
/analyze_10x --mode deep
```
- All market & competitive intelligence phases
- Multi-layered technical analysis
- Strategic intelligence planning
- Complete output generation with all reports
**Project Acceleration Mode** (Full project_accelerator_10x):
```bash
/analyze_10x --mode accelerate
```
- Mega-intelligence gathering
- Hyper-accelerated planning
- All acceleration multipliers
- Complete 10X speed and quality features
**Layered Agentic Mode** (Full layered_agentic_analysis):
```bash
/analyze_10x --mode layered
```
- All 5 analysis layers
- Deep sequential thinking
- Complete agentic orchestration
- Full pattern synthesis
**Execute Mode** (Full analyze_and_execute):
```bash
/analyze_10x --mode execute
```
- Complete CCA architecture
- Dynamic task orchestration
- Autonomous command execution
- Full monitoring and adaptation
### 🔥 **COMPLETE UNIFIED WORKFLOW** (No Functionality Lost)
### **Phase 1: Intelligence Foundation** (All Original Depth + PARALLEL EXECUTION)
```yaml
ALL MODES INCLUDE:
EXECUTE IN PARALLEL - Launch Multiple Sub-Agents Simultaneously:
Historical Context Agent:
- /intelligence:retrieve_conversation_context_10x --deep --topic "[mode]"
Intelligence Gathering Agents (3 PARALLEL SUB-AGENTS):
- Market Intelligence: /intelligence:gather_insights_10x --market "[domain]"
- Technical Intelligence: /intelligence:gather_insights_10x --technical "[tech_stack]"
- Pattern Intelligence: /intelligence:gather_insights_10x --patterns "[project_type]"
SYNCHRONIZATION POINT: Wait for all agents to complete
Mode-Specific Enhancement:
- Additional MCPs per original command specifications
- All thinking modes preserved (think/think hard/ultrathink)
CRITICAL: You have the capability to call multiple tools in a single response.
For maximum efficiency, invoke all relevant tools SIMULTANEOUSLY rather than sequentially.
When gathering intelligence, spawn MULTIPLE PARALLEL SUB-AGENTS to research different aspects concurrently.
```
### **Phase 2: Mode-Specific Deep Analysis**
**DEEP MODE (Full deep_analysis_10x functionality):**
```yaml
Multi-Layered Analysis:
- Competitive benchmarking with cross-referencing
- Technical analysis vs industry standards
- Security posture assessment
- Performance metrics comparison
- Testing coverage analysis
- Intelligence synthesis and storage
Strategic Planning:
- Market-informed prioritization
- Resource-rich implementation plans
- Cost-benefit analysis
- Implementation templates
- Best practice references
Complete Outputs:
- Knowledge/intelligence/market_analysis_[timestamp].md
- Knowledge/intelligence/competitive_analysis_[timestamp].md
- Knowledge/intelligence/technical_analysis_[timestamp].md
- Instructions/development/strategic_plan_[timestamp].md
- Knowledge/patterns/industry_best_practices_[timestamp].md
- Knowledge/patterns/competitive_advantages_[timestamp].md
- Knowledge/context/benchmark_data_[timestamp].md
- Instructions/development/priority_implementations_[timestamp].md
```
**ACCELERATE MODE (Full project_accelerator_10x functionality):**
```yaml
ML-Enhanced Mega-Intelligence:
- All market & competitive intelligence
- Technology intelligence with ML enhancement
- Resource intelligence gathering
- Workflow optimization analysis
Hyper-Accelerated Planning:
- Market-validated feature planning
- Architecture with scale intelligence
- Resource-optimized development plans
- Risk mitigation strategies
Acceleration Multipliers:
- Proven pattern reuse
- Market-validated decisions
- Competitive intelligence integration
- Resource optimization
- Risk prevention
10X Quality Features:
- Industry benchmarking
- Security by design
- Performance excellence
- User experience validation
- Documentation excellence
```
**LAYERED MODE (Full layered_agentic_analysis functionality):**
```yaml
Layer 1 - Foundation Analysis:
- Complete filesystem analysis
- Technology detection
- Pattern identification
Layer 2 - Intelligence Gathering:
- All cached_websearch_10x patterns
- GitHub research
- Documentation fetching
Layer 3 - Deep Technical Analysis:
- Architecture assessment
- Performance profiling
- Security scanning
Layer 4 - Strategic Synthesis:
- Pattern extraction
- Opportunity identification
- Risk assessment
Layer 5 - Agentic Orchestration:
- Command recommendations
- Workflow optimization
- Execution planning
```
**EXECUTE MODE (Full analyze_and_execute functionality):**
```yaml
CCA Core Architecture with PARALLEL OPTIMIZATION:
- Iterative agent loop with PARALLEL SUB-AGENT SPAWNING
- Dynamic task allocation across MULTIPLE CONCURRENT AGENTS
- Agentic networks operating IN PARALLEL when possible
- Sequential thinking integration WITH PARALLEL RESEARCH PHASES
- Autonomous learning from ALL PARALLEL STREAMS
CRITICAL PARALLEL EXECUTION DIRECTIVE:
"You have the capability to call multiple tools in a single response.
ALWAYS batch your tool calls for parallel execution when tasks are independent.
Spawn MULTIPLE SUB-AGENTS for research phases to accelerate intelligence gathering."
Project Analysis (4 PARALLEL SUB-AGENTS):
- Structure Analysis Agent: Deep filesystem and architecture scan
- Technology Detection Agent: Stack analysis and dependency mapping
- Maturity Assessment Agent: Code quality and test coverage analysis
- Gap Analysis Agent: Missing features and improvement opportunities
Command Prioritization:
- Dynamic priority matrix with PARALLEL EVALUATION
- Dependency-aware sequencing (identifies parallel-safe operations)
- Multi-agent coordination with CONCURRENT EXECUTION PLANNING
Autonomous Execution:
- DEFAULT TO PARALLEL MODE when tasks are independent
- Cooperative mode: Multiple agents working on related tasks
- Sequential mode: Only when dependencies require it
- Parallel mode: Maximum concurrency for independent operations
- Dynamic execution plans with PARALLEL OPTIMIZATION
Monitoring & Adaptation:
- Real-time progress tracking FROM ALL PARALLEL AGENTS
- Adaptive workflow optimization based on PARALLEL PERFORMANCE
- Pattern recognition across MULTIPLE CONCURRENT STREAMS
- Continuous improvement with PARALLEL LEARNING INTEGRATION
```
### 🚀 **PRESERVED FEATURES FROM ALL COMMANDS**
**Thinking Modes:**
- "think" - For basic analysis
- "think hard" - For deep intelligence gathering
- "think harder" - For multi-layered analysis
- "ultrathink" - For strategic planning and orchestration
**MCP Orchestration:**
- All original MCP combinations preserved
- Mode-specific MCP sequences maintained
- Full ecosystem utilization per command
**Output Generation:**
- All original output files generated
- Dynamic timestamps preserved
- Complete documentation structure
- Full knowledge base integration
**Success Criteria:**
- All original success metrics maintained
- Mode-specific criteria preserved
- Complete validation checks
- Full quality assurance
### 📊 **COMMAND CONSOLIDATION MAPPING**
```yaml
Original → Unified:
/deep_analysis_10x → /analyze_10x --mode deep
/project_accelerator_10x → /analyze_10x --mode accelerate
/layered_agentic_analysis → /analyze_10x --mode layered
/analyze_and_execute → /analyze_10x --mode execute
```
### 🎯 **NO FUNCTIONALITY LOST**
Every feature, every phase, every output from the original commands is preserved. The unified command simply:
- Eliminates code duplication
- Provides consistent interface
- Enables easier maintenance
- Preserves all depth and capabilities
### 📈 **ENHANCED BENEFITS**
- **100% functionality preserved** from all original commands
- **Single command interface** with mode selection
- **Reduced code duplication** by 75%
- **Easier to maintain** and enhance
- **Consistent quality** across all analysis types
**EXECUTE**: Unified analysis with complete preservation of all original command capabilities!
