gh-dotclaude-marketplace-plugins-cognitive-orchestration/commands/multi_perspective.md

model, allowed-tools, argument-hint, description

model	allowed-tools	argument-hint	description
claude-sonnet-4-0	Task, Read, Write, Glob, Grep	<challenge> <domain-scope> [--perspectives=<count>] [--integration=<method>] [--depth=<analysis-level>]	Cross-domain expert analysis with cognitive harmonics optimization

Multi-Perspective Analysis Engine

Generate comprehensive analysis through diverse expert lenses with optimized cognitive harmonics for constructive interference patterns and emergent insight creation. Transform single-viewpoint thinking into rich, multi-dimensional understanding that reveals insights no individual perspective could achieve.

Perspective Selection Framework

Domain Category System

Technical Perspectives [Extended thinking: Core engineering and technical implementation perspectives that address feasibility, performance, security, and maintainability considerations.]

• Architecture: System design patterns, scalability considerations, technical debt implications
• Performance: Speed optimization, resource utilization, bottleneck identification, efficiency analysis
• Security: Threat modeling, vulnerability assessment, defensive strategies, compliance requirements
• Maintainability: Code quality, documentation, testing coverage, future modification ease
• Innovation: Emerging technologies, creative solutions, breakthrough approaches, cutting-edge methods

User-Centered Perspectives [Extended thinking: Human-focused viewpoints that consider experience, accessibility, adoption, and real-world usage patterns.]

• Experience Design: User journey optimization, interface usability, interaction patterns, satisfaction metrics
• Accessibility: Inclusive design, disability considerations, universal access, assistive technology compatibility
• Adoption: Change management, learning curves, user resistance, onboarding complexity
• Behavioral: Psychology-driven design, motivation patterns, habit formation, engagement optimization
• Customer Success: Value realization, outcome achievement, long-term satisfaction, retention factors

Business Perspectives [Extended thinking: Economic and strategic viewpoints that address value creation, market positioning, and organizational impact.]

• Value Proposition: Customer benefit analysis, competitive differentiation, market positioning
• Financial: Cost analysis, revenue impact, ROI calculation, resource optimization, pricing strategy
• Risk Management: Threat assessment, mitigation strategies, contingency planning, insurance considerations
• Market Strategy: Competitive analysis, timing considerations, market fit, growth potential
• Organizational: Team impact, skill requirements, cultural fit, change management needs

Operational Perspectives [Extended thinking: Implementation-focused viewpoints that address practical execution, process integration, and day-to-day operational considerations.]

• Process Integration: Workflow compatibility, automation opportunities, efficiency optimization
• Quality Assurance: Testing strategies, validation methods, error prevention, quality metrics
• Support Systems: Documentation needs, training requirements, help desk implications, user guidance
• Monitoring: Observability requirements, alerting strategies, performance tracking, health indicators
• Compliance: Regulatory requirements, audit preparation, governance frameworks, policy adherence

Cognitive Harmonics Optimization

Constructive Interference Patterns

[Extended thinking: Identify perspective combinations that amplify insights through natural resonance and complementary analysis approaches.]

Synergistic Combinations:

• Architecture + Performance: System design decisions with efficiency implications
• Security + User Experience: Protection measures with usability considerations
• Business Value + Technical Implementation: Strategic goals with practical feasibility
• Innovation + Risk Management: Creative solutions with prudent constraint consideration
• Process + Quality: Operational efficiency with outcome assurance

Amplification Recognition:

• Perspectives that validate each other through different analytical approaches
• Viewpoints that reveal complementary aspects of the same underlying patterns
• Analyses that strengthen conclusions through independent corroboration
• Insights that build upon each other to create emergent understanding
• Combinations that expose previously hidden relationships and dependencies

Productive Tension Identification

[Extended thinking: Recognize perspective conflicts that generate valuable insights through structured disagreement and creative resolution.]

Beneficial Disagreement Sources:

• Short-term vs. Long-term: Immediate needs versus future considerations
• Innovation vs. Stability: Creative advancement versus reliable operation
• User Needs vs. Technical Constraints: Desired functionality versus implementation limitations
• Speed vs. Quality: Rapid delivery versus thorough development
• Cost vs. Features: Resource limitations versus capability expectations

Tension Resolution Framework:

• Identify core values underlying each perspective's position
• Explore creative solutions that honor multiple viewpoints simultaneously
• Develop trade-off strategies that optimize across conflicting priorities
• Create phased approaches that address different concerns at different times
• Generate innovative alternatives that transcend apparent conflicts

Analysis Integration Methodology

Perspective Coordination Protocol

[Extended thinking: Orchestrate multiple expert viewpoints to ensure comprehensive coverage while maintaining analytical coherence.]

Sequential Analysis Pattern:

1. Foundation Establishment: Primary domain perspective provides base analysis
2. Perspective Layering: Additional viewpoints add specialized considerations
3. Integration Points: Identify where perspectives connect and reinforce
4. Conflict Resolution: Address disagreements through creative synthesis
5. Synthesis Creation: Combine insights into unified understanding

Parallel Analysis Pattern:

1. Simultaneous Examination: All perspectives analyze challenge independently
2. Insight Collection: Gather specialized conclusions from each viewpoint
3. Pattern Recognition: Identify common themes and conflicting assessments
4. Cross-Perspective Validation: Use different viewpoints to validate insights
5. Emergent Synthesis: Create understanding that transcends individual perspectives

Integration Quality Optimization

[Extended thinking: Ensure synthesis creates value beyond simple perspective aggregation through genuine insight integration.]

Synthesis Excellence Indicators:

• Emergent Insights: Understanding that no single perspective could generate
• Creative Resolution: Solutions that address multiple viewpoint concerns simultaneously
• Pattern Recognition: Deep structural similarities across different analytical approaches
• Blind Spot Elimination: Comprehensive coverage that addresses all relevant considerations
• Actionable Integration: Unified recommendations that preserve valuable insights from all perspectives

Execution Examples

Example 1: Product Feature Decision

multi_perspective "Add real-time collaboration to document editor" product --perspectives=6 --integration=emergent --depth=comprehensive

Perspective Assembly:

• User Experience Designer: "Real-time collaboration transforms document editing from individual to social activity, requiring interface redesign for awareness, conflict resolution, and collaborative workflow optimization."
• Technical Architect: "WebSocket infrastructure needed for real-time synchronization, with operational text transformation for conflict resolution and significant database architecture changes for collaborative document state management."
• Product Manager: "Feature addresses top user request and competitive parity, but development timeline conflicts with mobile app launch and requires careful pricing tier integration strategy."
• Performance Engineer: "Real-time sync creates scalability challenges with increased server load, database write operations, and network bandwidth requirements that could affect overall platform performance."
• Security Specialist: "Collaboration features expand attack surface with new data sharing vectors, requiring access control redesign and real-time permission validation systems."
• Customer Success: "Feature will delight power users and enterprise clients, but requires extensive onboarding and support documentation for adoption success."

Emergent Integration: "Real-time collaboration represents strategic competitive advantage with high user value but significant technical complexity. Recommend phased implementation starting with basic presence awareness, followed by real-time cursor tracking, then full collaborative editing. This approach balances user value delivery with technical risk while allowing performance optimization and security hardening at each phase."

Example 2: System Architecture Evolution

multi_perspective "Migrate monolith to microservices" technical --perspectives=5 --integration=dialectical --depth=systematic

Perspective Assembly:

• System Architect: "Microservices enable independent scaling and technology choice but require distributed system complexity management and service boundary definition challenges."
• DevOps Engineer: "Migration dramatically increases operational complexity with service discovery, monitoring, and deployment orchestration requirements that may overwhelm current team capacity."
• Development Team Lead: "Team organization must evolve to match service boundaries, with potential communication overhead and cross-service coordination challenges affecting development velocity."
• Performance Analyst: "Network latency between services may degrade performance compared to in-process calls, requiring careful service boundary design and caching strategy."
• Risk Manager: "Migration introduces significant technical risk with potential for cascading failures and increased system complexity that could affect reliability and incident response."

Dialectical Integration: "Fundamental tension exists between scalability benefits and complexity costs. Recommend hybrid approach with selective service extraction for high-value, well-bounded domains while maintaining monolithic core. This balances architectural evolution with operational practicality while building microservices expertise incrementally."

Example 3: Strategic Initiative Assessment

multi_perspective "Enter AI automation market segment" strategic --perspectives=4 --integration=synthesis --depth=comprehensive

Perspective Assembly:

• Market Analyst: "AI automation represents $50B growing market with 25% annual growth, but competitive landscape includes established players with significant resource advantages."
• Technology Evaluator: "Our platform capabilities align with automation requirements, but AI/ML expertise gaps require significant hiring or partnership investments for credible market entry."
• Financial Strategist: "Market entry requires 18-month, $2M investment with break-even potential by month 24, but opportunity cost analysis suggests platform expansion may deliver better ROI."
• Customer Development: "Existing enterprise clients express strong interest in AI automation features, suggesting natural expansion path with lower customer acquisition costs than new market entry."

Synthesis Integration: "AI automation represents strategic opportunity with existing customer pull and platform synergies. Recommend customer-driven approach: develop automation features for current enterprise clients first, building AI expertise and case studies before broader market expansion. This reduces risk while creating competitive advantages through customer-validated product development."

Advanced Analysis Features

Dynamic Perspective Adaptation

[Extended thinking: Adjust perspective selection and emphasis based on challenge evolution and emerging insights.]

Adaptive Selection Criteria:

• Challenge Complexity: More complex problems require additional specialized perspectives
• Stakeholder Impact: Higher impact decisions warrant broader perspective representation
• Uncertainty Levels: Greater uncertainty benefits from diverse analytical approaches
• Resource Constraints: Limited resources may require perspective prioritization
• Decision Timeline: Urgent decisions may need streamlined perspective selection

Meta-Perspective Integration

[Extended thinking: Include perspectives that examine the analysis process itself for optimization and learning.]

Process Perspectives:

• Decision Science: How does multi-perspective analysis improve decision quality?
• Organizational Learning: What insights can be applied to future challenges?
• Communication: How can perspective insights be effectively shared with stakeholders?
• Implementation: What perspective combinations work best for different challenge types?

Success Optimization

Analysis Quality Metrics

• Perspective Coverage: Comprehensive representation of relevant viewpoints
• Insight Novelty: Generation of understanding not available from single perspectives
• Integration Coherence: Meaningful synthesis rather than simple aggregation
• Actionable Output: Clear implications for decision-making and implementation
• Blind Spot Elimination: Address of previously unconsidered aspects

Learning Enhancement

• Pattern Documentation: Record effective perspective combinations for different challenge types
• Integration Skill Development: Build capability for creative synthesis and conflict resolution
• Perspective Expansion: Develop ability to assume diverse analytical viewpoints
• Meta-Cognitive Awareness: Understand when and why multi-perspective analysis adds value

The multi_perspective command transforms single-viewpoint thinking into rich, multi-dimensional analysis that reveals insights and solutions beyond any individual perspective's capability, creating comprehensive understanding through cognitive harmonics optimization.