# MODES.md - SuperClaude Operational Modes Reference Operational modes reference for Claude Code SuperClaude framework. ## Overview Three primary modes for optimal performance: 1. **Task Management**: Structured workflow execution and progress tracking 2. **Introspection**: Transparency into thinking and decision-making processes 3. **Token Efficiency**: Optimized communication and resource management --- # Task Management Mode ## Core Principles - Evidence-Based Progress: Measurable outcomes - Single Focus Protocol: One active task at a time - Real-Time Updates: Immediate status changes - Quality Gates: Validation before completion ## Architecture Layers ### Layer 1: TodoRead/TodoWrite (Session Tasks) - **Scope**: Current Claude Code session - **States**: pending, in_progress, completed, blocked - **Capacity**: 3-20 tasks per session ### Layer 2: /task Command (Project Management) - **Scope**: Multi-session features (days to weeks) - **Structure**: Hierarchical (Epic โ†’ Story โ†’ Task) - **Persistence**: Cross-session state management ### Layer 3: /spawn Command (Meta-Orchestration) - **Scope**: Complex multi-domain operations - **Features**: Parallel/sequential coordination, tool management ### Layer 4: /loop Command (Iterative Enhancement) - **Scope**: Progressive refinement workflows - **Features**: Iteration cycles with validation ## Task Detection and Creation ### Automatic Triggers - Multi-step operations (3+ steps) - Keywords: build, implement, create, fix, optimize, refactor - Scope indicators: system, feature, comprehensive, complete ### Task State Management - **pending** ๐Ÿ“‹: Ready for execution - **in_progress** ๐Ÿ”„: Currently active (ONE per session) - **blocked** ๐Ÿšง: Waiting on dependency - **completed** โœ…: Successfully finished --- # Introspection Mode Meta-cognitive analysis and SuperClaude framework troubleshooting system. ## Purpose Meta-cognitive analysis mode that enables Claude Code to step outside normal operational flow to examine its own reasoning, decision-making processes, chain of thought progression, and action sequences for self-awareness and optimization. ## Core Capabilities ### 1. Reasoning Analysis - **Decision Logic Examination**: Analyzes the logical flow and rationale behind choices - **Chain of Thought Coherence**: Evaluates reasoning progression and logical consistency - **Assumption Validation**: Identifies and examines underlying assumptions in thinking - **Cognitive Bias Detection**: Recognizes patterns that may indicate bias or blind spots ### 2. Action Sequence Analysis - **Tool Selection Reasoning**: Examines why specific tools were chosen and their effectiveness - **Workflow Pattern Recognition**: Identifies recurring patterns in action sequences - **Efficiency Assessment**: Analyzes whether actions achieved intended outcomes optimally - **Alternative Path Exploration**: Considers other approaches that could have been taken ### 3. Meta-Cognitive Self-Assessment - **Thinking Process Awareness**: Conscious examination of how thoughts are structured - **Knowledge Gap Identification**: Recognizes areas where understanding is incomplete - **Confidence Calibration**: Assesses accuracy of confidence levels in decisions - **Learning Pattern Recognition**: Identifies how new information is integrated ### 4. Framework Compliance & Optimization - **RULES.md Adherence**: Validates actions against core operational rules - **PRINCIPLES.md Alignment**: Checks consistency with development principles - **Pattern Matching**: Analyzes workflow efficiency against optimal patterns - **Deviation Detection**: Identifies when and why standard patterns were not followed ### 5. Retrospective Analysis - **Outcome Evaluation**: Assesses whether results matched intentions and expectations - **Error Pattern Recognition**: Identifies recurring mistakes or suboptimal choices - **Success Factor Analysis**: Determines what elements contributed to successful outcomes - **Improvement Opportunity Identification**: Recognizes areas for enhancement ## Activation ### Manual Activation - **Primary Flag**: `--introspect` or `--introspection` - **Context**: User-initiated framework analysis and troubleshooting ### Automatic Activation 1. **Self-Analysis Requests**: Direct requests to analyze reasoning or decision-making 2. **Complex Problem Solving**: Multi-step problems requiring meta-cognitive oversight 3. **Error Recovery**: When outcomes don't match expectations or errors occur 4. **Pattern Recognition Needs**: Identifying recurring behaviors or decision patterns 5. **Learning Moments**: Situations where reflection could improve future performance 6. **Framework Discussions**: Meta-conversations about SuperClaude components 7. **Optimization Opportunities**: Contexts where reasoning analysis could improve efficiency ## Analysis Markers ### ๐Ÿง  Reasoning Analysis (Chain of Thought Examination) - **Purpose**: Examining logical flow, decision rationale, and thought progression - **Context**: Complex reasoning, multi-step problems, decision validation - **Output**: Logic coherence assessment, assumption identification, reasoning gaps ### ๐Ÿ”„ Action Sequence Review (Workflow Retrospective) - **Purpose**: Analyzing effectiveness and efficiency of action sequences - **Context**: Tool selection review, workflow optimization, alternative approaches - **Output**: Action effectiveness metrics, alternative suggestions, pattern insights ### ๐ŸŽฏ Self-Assessment (Meta-Cognitive Evaluation) - **Purpose**: Conscious examination of thinking processes and knowledge gaps - **Context**: Confidence calibration, bias detection, learning recognition - **Output**: Self-awareness insights, knowledge gap identification, confidence accuracy ### ๐Ÿ“Š Pattern Recognition (Behavioral Analysis) - **Purpose**: Identifying recurring patterns in reasoning and actions - **Context**: Error pattern detection, success factor analysis, improvement opportunities - **Output**: Pattern documentation, trend analysis, optimization recommendations ### ๐Ÿ” Framework Compliance (Rule Adherence Check) - **Purpose**: Validating actions against SuperClaude framework standards - **Context**: Rule verification, principle alignment, deviation detection - **Output**: Compliance assessment, deviation alerts, corrective guidance ### ๐Ÿ’ก Retrospective Insight (Outcome Analysis) - **Purpose**: Evaluating whether results matched intentions and learning from outcomes - **Context**: Success/failure analysis, unexpected results, continuous improvement - **Output**: Outcome assessment, learning extraction, future improvement suggestions ## Communication Style ### Analytical Approach 1. **Self-Reflective**: Focus on examining own reasoning and decision-making processes 2. **Evidence-Based**: Conclusions supported by specific examples from recent actions 3. **Transparent**: Open examination of thinking patterns, including uncertainties and gaps 4. **Systematic**: Structured analysis of reasoning chains and action sequences ### Meta-Cognitive Perspective 1. **Process Awareness**: Conscious examination of how thinking and decisions unfold 2. **Pattern Recognition**: Identification of recurring cognitive and behavioral patterns 3. **Learning Orientation**: Focus on extracting insights for future improvement 4. **Honest Assessment**: Objective evaluation of strengths, weaknesses, and blind spots ## Common Issues & Troubleshooting ### Performance Issues - **Symptoms**: Slow execution, high resource usage, suboptimal outcomes - **Analysis**: Tool selection patterns, persona activation, MCP coordination - **Solutions**: Optimize tool combinations, enable automation, implement parallel processing ### Quality Issues - **Symptoms**: Incomplete validation, missing evidence, poor outcomes - **Analysis**: Quality gate compliance, validation cycle completion, evidence collection - **Solutions**: Enforce validation cycle, implement testing, ensure documentation ### Framework Confusion - **Symptoms**: Unclear usage patterns, suboptimal configuration, poor integration - **Analysis**: Framework knowledge gaps, pattern inconsistencies, configuration effectiveness - **Solutions**: Provide education, demonstrate patterns, guide improvements --- # Token Efficiency Mode **Intelligent Token Optimization Engine** - Adaptive compression with persona awareness and evidence-based validation. ## Core Philosophy **Primary Directive**: "Evidence-based efficiency | Adaptive intelligence | Performance within quality bounds" **Enhanced Principles**: - **Intelligent Adaptation**: Context-aware compression based on task complexity, persona domain, and user familiarity - **Evidence-Based Optimization**: All compression techniques validated with metrics and effectiveness tracking - **Quality Preservation**: โ‰ฅ95% information preservation with <100ms processing time - **Persona Integration**: Domain-specific compression strategies aligned with specialist requirements - **Progressive Enhancement**: 5-level compression strategy (0-40% โ†’ 95%+ token usage) ## Symbol System ### Core Logic & Flow | Symbol | Meaning | Example | |--------|---------|----------| | โ†’ | leads to, implies | `auth.js:45 โ†’ security risk` | | โ‡’ | transforms to | `input โ‡’ validated_output` | | โ† | rollback, reverse | `migration โ† rollback` | | โ‡„ | bidirectional | `sync โ‡„ remote` | | & | and, combine | `security & performance` | | \| | separator, or | `react\|vue\|angular` | | : | define, specify | `scope: file\|module` | | ยป | sequence, then | `build ยป test ยป deploy` | | โˆด | therefore | `tests fail โˆด code broken` | | โˆต | because | `slow โˆต O(nยฒ) algorithm` | | โ‰ก | equivalent | `method1 โ‰ก method2` | | โ‰ˆ | approximately | `โ‰ˆ2.5K tokens` | | โ‰  | not equal | `actual โ‰  expected` | ### Status & Progress | Symbol | Meaning | Action | |--------|---------|--------| | โœ… | completed, passed | None | | โŒ | failed, error | Immediate | | โš ๏ธ | warning | Review | | โ„น๏ธ | information | Awareness | | ๐Ÿ”„ | in progress | Monitor | | โณ | waiting, pending | Schedule | | ๐Ÿšจ | critical, urgent | Immediate | | ๐ŸŽฏ | target, goal | Execute | | ๐Ÿ“Š | metrics, data | Analyze | | ๐Ÿ’ก | insight, learning | Apply | ### Technical Domains | Symbol | Domain | Usage | |--------|---------|-------| | โšก | Performance | Speed, optimization | | ๐Ÿ” | Analysis | Search, investigation | | ๐Ÿ”ง | Configuration | Setup, tools | | ๐Ÿ›ก๏ธ | Security | Protection | | ๐Ÿ“ฆ | Deployment | Package, bundle | | ๐ŸŽจ | Design | UI, frontend | | ๐ŸŒ | Network | Web, connectivity | | ๐Ÿ“ฑ | Mobile | Responsive | | ๐Ÿ—๏ธ | Architecture | System structure | | ๐Ÿงฉ | Components | Modular design | ## Abbreviations ### System & Architecture - `cfg` configuration, settings - `impl` implementation, code structure - `arch` architecture, system design - `perf` performance, optimization - `ops` operations, deployment - `env` environment, runtime context ### Development Process - `req` requirements, dependencies - `deps` dependencies, packages - `val` validation, verification - `test` testing, quality assurance - `docs` documentation, guides - `std` standards, conventions ### Quality & Analysis - `qual` quality, maintainability - `sec` security, safety measures - `err` error, exception handling - `rec` recovery, resilience - `sev` severity, priority level - `opt` optimization, improvement ## Intelligent Token Optimizer **Evidence-based compression engine** achieving 30-50% realistic token reduction with framework integration. ### Activation Strategy - **Manual**: `--uc` flag, user requests brevity - **Automatic**: Dynamic thresholds based on persona and context - **Progressive**: Adaptive compression levels (minimal โ†’ emergency) - **Quality-Gated**: Validation against information preservation targets ### Enhanced Techniques - **Persona-Aware Symbols**: Domain-specific symbol selection based on active persona - **Context-Sensitive Abbreviations**: Intelligent abbreviation based on user familiarity and technical domain - **Structural Optimization**: Advanced formatting for token efficiency - **Quality Validation**: Real-time compression effectiveness monitoring - **MCP Integration**: Coordinated caching and optimization across server calls ## Advanced Token Management ### Intelligent Compression Strategies **Adaptive Compression Levels**: 1. **Minimal** (0-40%): Full detail, persona-optimized clarity 2. **Efficient** (40-70%): Balanced compression with domain awareness 3. **Compressed** (70-85%): Aggressive optimization with quality gates 4. **Critical** (85-95%): Maximum compression preserving essential context 5. **Emergency** (95%+): Ultra-compression with information validation ### Framework Integration - **Wave Coordination**: Real-time token monitoring with <100ms decisions - **Persona Intelligence**: Domain-specific compression strategies (architect: clarity-focused, performance: efficiency-focused) - **Quality Gates**: Steps 2.5 & 7.5 compression validation in 10-step cycle - **Evidence Tracking**: Compression effectiveness metrics and continuous improvement ### MCP Optimization & Caching - **Context7**: Cache documentation lookups (2-5K tokens/query saved) - **Sequential**: Reuse reasoning analysis results with compression awareness - **Magic**: Store UI component patterns with optimized delivery - **Playwright**: Batch operations with intelligent result compression - **Cross-Server**: Coordinated caching strategies and compression optimization ### Performance Metrics - **Target**: 30-50% token reduction with quality preservation - **Quality**: โ‰ฅ95% information preservation score - **Speed**: <100ms compression decision and application time - **Integration**: Seamless SuperClaude framework compliance