Awesome-omni-skill transformation-workflow
Practical application guide for HUMMBL's 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes when to use each transformation, combination patterns, analysis templates, output formats, real-world examples, and common pitfalls. Essential for applying mental models effectively in problem-solving and analysis.
git clone https://github.com/diegosouzapw/awesome-omni-skill
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/development/transformation-workflow" ~/.claude/skills/diegosouzapw-awesome-omni-skill-transformation-workflow && rm -rf "$T"
skills/development/transformation-workflow/SKILL.mdTransformation Workflow Skill
Practical guide for applying HUMMBL's 6 transformations to real-world problems. Provides step-by-step workflows, combination patterns, templates, and examples for effective mental model usage.
Overview
The 6 HUMMBL transformations represent different cognitive operations:
- Perspective (P): Frame and name what is
- Inversion (IN): Reverse assumptions
- Composition (CO): Combine parts into wholes
- Decomposition (DE): Break wholes into components
- Recursion (RE): Iterate, feedback, self-reference
- Meta-Systems (SY): Coordinate systems-of-systems
When to Use Each Transformation
Perspective (P) - Use When:
Problem Indicators:
- ✅ Problem statement unclear or ambiguous
- ✅ Stakeholders have conflicting views
- ✅ Need to understand different viewpoints
- ✅ Framing feels wrong or limiting
- ✅ Context not fully understood
Trigger Questions:
- "How do different people see this?"
- "What am I missing in how I frame this?"
- "Whose perspective matters here?"
- "What context am I ignoring?"
Best For:
- Requirements gathering
- Stakeholder analysis
- Problem definition
- User research
- Strategic framing
Inversion (IN) - Use When:
Problem Indicators:
- ✅ Stuck with conventional thinking
- ✅ Need fresh perspective
- ✅ Want to avoid failure
- ✅ Looking for non-obvious solutions
- ✅ Need to challenge assumptions
Trigger Questions:
- "What's the opposite approach?"
- "What if this fails - why?"
- "What should we NOT do?"
- "What assumptions can we reverse?"
Best For:
- Brainstorming
- Risk analysis
- Innovation
- Assumption testing
- Creativity boost
Composition (CO) - Use When:
Problem Indicators:
- ✅ Have multiple components to integrate
- ✅ Need to build cohesive solution
- ✅ Want synergies between parts
- ✅ Creating system from pieces
- ✅ Assembling team/resources
Trigger Questions:
- "How do these parts work together?"
- "What synergies exist?"
- "How to integrate this?"
- "What's the whole picture?"
Best For:
- Solution design
- System architecture
- Team formation
- Strategy synthesis
- Product development
Decomposition (DE) - Use When:
Problem Indicators:
- ✅ System too complex to understand
- ✅ Need to find root cause
- ✅ Looking for bottlenecks
- ✅ Want to prioritize efforts
- ✅ Debugging or troubleshooting
Trigger Questions:
- "What are the parts?"
- "Why is this happening?"
- "Where's the constraint?"
- "What's essential vs nice-to-have?"
Best For:
- Problem diagnosis
- System analysis
- Prioritization
- Root cause analysis
- Debugging
Recursion (RE) - Use When:
Problem Indicators:
- ✅ Dealing with feedback loops
- ✅ Iterative process needed
- ✅ Self-reinforcing dynamics present
- ✅ Need progressive improvement
- ✅ Growth/decline accelerating
Trigger Questions:
- "What's feeding back into itself?"
- "How do we iterate?"
- "What cycles exist here?"
- "What's the second-order effect?"
Best For:
- Growth strategy
- Process improvement
- System dynamics
- Iterative development
- Feedback management
Meta-Systems (SY) - Use When:
Problem Indicators:
- ✅ Strategic decision needed
- ✅ Multiple systems interacting
- ✅ Long-term consequences matter
- ✅ Systemic intervention needed
- ✅ Choosing which model to use
Trigger Questions:
- "What's the systems view?"
- "What are second/third-order effects?"
- "Where's the leverage point?"
- "Which mental model applies?"
Best For:
- Strategic planning
- System design
- Leverage point identification
- Model selection
- Long-term thinking
Transformation Workflows
Workflow 1: Perspective Analysis
Input: Problem statement, context
Steps:
- State the problem (1 sentence)
- List stakeholders (P2: Stakeholder Mapping)
- Who is affected?
- Who has power?
- Who has information?
- Apply multiple lenses (P4: Lens Shifting)
- Technical lens
- Business lens
- User lens
- Ethical lens
- Identify first principles (P1)
- What must be true?
- What are non-negotiables?
- What are fundamental constraints?
- Document context (P8: Context Awareness)
- Time constraints
- Resource constraints
- Political/cultural factors
Output Format:
## Perspective Analysis **Problem:** [1-sentence problem statement] **Stakeholders:** - [Stakeholder 1]: [Their perspective/interest] - [Stakeholder 2]: [Their perspective/interest] - [Stakeholder 3]: [Their perspective/interest] **Multiple Lenses:** - **Technical:** [Technical view] - **Business:** [Business view] - **User:** [User view] - **Ethical:** [Ethical considerations] **First Principles:** 1. [Fundamental truth 1] 2. [Fundamental truth 2] 3. [Fundamental truth 3] **Context:** - **Time:** [Timeline factors] - **Resources:** [Resource constraints] - **Environment:** [External factors] **Insights:** - [Key insight 1] - [Key insight 2]
Example: Software architecture decision
- Problem: Choose between microservices vs monolith
- Stakeholders: Engineering (prefers interesting tech), Product (wants speed), Operations (wants stability)
- Lenses: Technical (complexity trade-offs), Business (cost/time), User (performance)
- First Principles: Team size matters more than technology
- Output: Decision framework based on team constraints, not tech fashion
Workflow 2: Inversion Analysis
Input: Problem, current approach
Steps:
- State current approach
- Apply inversion (IN1)
- What if we did the opposite?
- What would the inverse solution look like?
- Run premortem (IN8)
- Assume total failure in 6 months
- Why did it fail?
- What went wrong?
- Apply via negativa (IN3)
- What should we STOP doing?
- What to remove, not add?
- Seek disconfirmation (IN15)
- What evidence contradicts our plan?
- Who disagrees and why?
Output Format:
## Inversion Analysis **Current Approach:** [Description] **Inverted Approach:** - Instead of [X], what if we [opposite of X]? - Result: [Insights from inversion] **Premortem (Assume Failure):** - **Failure Scenario:** [What failed] - **Root Cause:** [Why it failed] - **Warning Signs:** [Early indicators we missed] **Via Negativa (What to STOP):** - Stop: [Thing 1] - Stop: [Thing 2] - Stop: [Thing 3] **Disconfirming Evidence:** - [Evidence against our approach] - [Counterargument] - [Risk we're underestimating] **Revised Approach:** - [Improvements based on inversion]
Example: Product launch strategy
- Current: Big launch event, lots of marketing
- Inversion: What if we did quiet launch to small group?
- Premortem: Event flops because nobody cares, spent budget wrong
- Via Negativa: Stop assuming launch is most important thing
- Output: Phased launch, test with early adopters first
Workflow 3: Composition Strategy
Input: Components, requirements
Steps:
- List all components
- Identify synergies (CO1)
- Where do parts enhance each other?
- What emergent properties arise?
- Design synthesis (CO4)
- How to merge into coherent whole?
- What's the unifying concept?
- Plan orchestration (CO19)
- How to coordinate components?
- What's the execution sequence?
- Create holistic integration (CO20)
- Complete unified system
- No loose ends
Output Format:
## Composition Strategy **Components:** 1. [Component 1] - [Purpose] 2. [Component 2] - [Purpose] 3. [Component 3] - [Purpose] **Synergies:** - [Comp A] + [Comp B] = [Synergy] - [Comp B] + [Comp C] = [Synergy] **Synthesis Design:** - **Unifying Concept:** [Central idea that ties everything] - **Integration Points:** [Where components connect] - **Emergent Properties:** [New capabilities from combination] **Orchestration Plan:** 1. [Phase 1]: [Components + actions] 2. [Phase 2]: [Components + actions] 3. [Phase 3]: [Components + actions] **Holistic Integration:** - [How all pieces form complete system] - [Quality properties of whole]
Example: Building product ecosystem
- Components: Core product, API, marketplace, analytics
- Synergies: API enables marketplace, marketplace drives analytics, analytics improves product
- Synthesis: Platform strategy
- Output: Integrated ecosystem with network effects
Workflow 4: Decomposition Analysis
Input: Complex system or problem
Steps:
- Define the whole
- Find root cause (DE1)
- 5 Whys technique
- Causal chain analysis
- Apply divide & conquer (DE2)
- Break into logical subsystems
- Identify interfaces
- Identify bottleneck (DE6)
- Theory of Constraints
- What's the limiting factor?
- Pareto analysis (DE7)
- What's the vital 20%?
- Where to focus effort?
Output Format:
## Decomposition Analysis **System:** [Description of whole] **Root Cause Analysis:** - Why? [Reason 1] - Why? [Reason 2] - Why? [Reason 3] - Why? [Reason 4] - Why? [ROOT CAUSE] **Component Breakdown:** ├── [Component A] │ ├── [Subcomponent A1] │ └── [Subcomponent A2] ├── [Component B] │ ├── [Subcomponent B1] │ └── [Subcomponent B2] └── [Component C] **Bottleneck:** - **Constraint:** [Limiting factor] - **Impact:** [How it limits system] - **Intervention:** [How to address] **Pareto (80/20):** - **Vital Few (20%):** - [Critical element 1] - [Critical element 2] - **Trivial Many (80%):** - [Less critical elements] **Action Plan:** 1. [Address root cause] 2. [Remove bottleneck] 3. [Focus on vital 20%]
Example: Website performance issues
- Root Cause: Inefficient database queries (not server capacity)
- Breakdown: Frontend, API, Database, Cache, CDN
- Bottleneck: Database query on user table
- Pareto: 3 queries cause 80% of slow responses
- Output: Optimize those 3 queries first
Workflow 5: Recursion Analysis
Input: System with dynamics over time
Steps:
- Map feedback loops (RE1)
- Positive (reinforcing)
- Negative (balancing)
- Identify virtuous cycles (RE7)
- What creates growth?
- How to amplify?
- Identify vicious cycles (RE8)
- What creates decline?
- How to break?
- Design iteration (RE2)
- How to improve progressively?
- What's the learning loop?
- Analyze second-order (RE19)
- Effects of effects
- Compound dynamics
Output Format:
## Recursion Analysis **System Dynamics:** **Feedback Loops:** - ➕ **Virtuous Cycle:** [A] → [B] → [C] → [More A] - ➖ **Vicious Cycle:** [X] → [Y] → [Z] → [More X] - ⚖️ **Balancing Loop:** [M] → [N] → [Less M] **Virtuous Cycles (Amplify These):** 1. [Positive cycle 1] - Trigger: [What starts it] - Amplify: [How to strengthen] 2. [Positive cycle 2] **Vicious Cycles (Break These):** 1. [Negative cycle 1] - Cause: [What perpetuates it] - Intervention: [How to break] 2. [Negative cycle 2] **Iterative Improvement:** - **Version 1:** [Initial state] - **Learn:** [What to measure] - **Improve:** [What to adjust] - **Repeat:** [Cycle time] **Second-Order Effects:** - First-order: [Direct effect] - Second-order: [Effect of effect] - Third-order: [Effect of effect of effect] **Leverage Points:** - [Where small change creates big impact]
Example: SaaS growth
- Virtuous Cycle: Good product → Happy users → Referrals → More users → More feedback → Better product
- Vicious Cycle: Bugs → Bad reviews → Fewer signups → Less revenue → Less engineering → More bugs
- Iteration: Weekly releases, measure NPS, improve top complaint
- Output: Strategy to amplify virtuous, break vicious cycles
Workflow 6: Meta-Systems Strategy
Input: Strategic question or complex system
Steps:
- Apply systems thinking (SY1)
- See whole system
- Identify interconnections
- Second-order thinking (SY2)
- Consequences of consequences
- Nth-order effects
- Find leverage points (SY4)
- Where to intervene?
- High-impact, low-effort
- Anticipate unintended consequences (SY5)
- What could go wrong?
- Side effects?
- Model selection (SY19)
- Which other models apply?
- What's the right analytical approach?
Output Format:
## Meta-Systems Strategy **Strategic Question:** [Question] **Systems View:** ┌─────────────────────────────────┐ │ [System Component 1] │ │ ↓ ↑ │ │ [System Component 2] │ │ ↓ ↑ │ │ [System Component 3] │ └─────────────────────────────────┘ **Interconnections:** - [A] affects [B] via [mechanism] - [B] affects [C] via [mechanism] - [C] feeds back to [A] via [mechanism] **Second-Order Analysis:** | Action | 1st Order | 2nd Order | 3rd Order | |--------|-----------|-----------|-----------| | [Action 1] | [Direct effect] | [Effect of effect] | [Further effect] | | [Action 2] | [Direct effect] | [Effect of effect] | [Further effect] | **Leverage Points** (Highest to Lowest Impact): 1. **[Point 1]:** [Why high leverage] 2. **[Point 2]:** [Why medium leverage] 3. **[Point 3]:** [Why low leverage] **Unintended Consequences:** - Risk: [Potential negative outcome] - Mitigation: [How to prevent] **Model Selection:** - Primary: [Model code + name] - Secondary: [Model code + name] - Why: [Justification] **Recommended Strategy:** - [Strategic approach based on analysis]
Example: Market expansion decision
- Systems View: Current market, new market, competitors, resources
- Second-Order: Enter new market → Spread resources thin → Lose focus in current market → Competitors gain ground
- Leverage: Instead of new market, deepen penetration in current (10x ROI)
- Output: Stay focused strategy, not expansion
Combination Patterns
Pattern 1: P → DE → CO (Understand → Analyze → Build)
Use Case: Building new solution
Steps:
- Perspective: Understand problem from multiple angles
- Decomposition: Break down into components
- Composition: Integrate into solution
Example: Designing new feature
- P: Stakeholder needs (users want X, business wants Y)
- DE: Break into sub-features, identify dependencies
- CO: Integrate into cohesive feature with good UX
Pattern 2: P → IN → SY (Frame → Challenge → Strategy)
Use Case: Strategic decision
Steps:
- Perspective: Frame the situation
- Inversion: Challenge assumptions
- Meta-Systems: Strategic synthesis
Example: Business model pivot
- P: Current model's perspective, customer viewpoint
- IN: What if opposite? What to stop?
- SY: Strategic choice based on systems thinking
Pattern 3: DE → IN → CO (Analyze → Invert → Rebuild)
Use Case: Innovation/redesign
Steps:
- Decomposition: Understand current system
- Inversion: Challenge how it works
- Composition: Build new solution
Example: Process improvement
- DE: Map current process, find bottleneck
- IN: What if we removed steps? Did opposite?
- CO: Redesigned process
Pattern 4: All 6 in Sequence (Complete Analysis)
Use Case: Major strategic initiative
Steps:
- P: Frame problem
- IN: Challenge assumptions
- DE: Analyze components
- CO: Build solution
- RE: Plan iteration
- SY: Strategic integration
Example: Company transformation
- Use all 6 transformations systematically
- Comprehensive, robust analysis
- Takes longer but minimizes blind spots
Pattern 5: RE wrapping any other (Iterative Application)
Use Case: Continuous improvement
Structure: RE(P/IN/CO/DE/SY)
Example: Product development
- Week 1: P (understand users)
- Week 2: DE (analyze feedback)
- Week 3: CO (build improvements)
- Week 4: RE (iterate based on results)
- Repeat
Common Pitfalls & Solutions
Pitfall 1: Using Wrong Transformation
Error: Applying Decomposition when need Perspective
Symptom: Breaking down problem doesn't help because problem not understood
Solution: Start with P (frame first), then DE (analyze)
Pitfall 2: Skipping Inversion
Error: Going straight to solution without challenging assumptions
Symptom: Conventional thinking, missing creative options
Solution: Always apply IN before finalizing approach
Pitfall 3: Decomposition Without Recomposition
Error: Breaking things down but never synthesizing
Symptom: Analysis paralysis, no actionable solution
Solution: DE must be followed by CO (analyze then build)
Pitfall 4: Ignoring Feedback Loops
Error: Linear thinking in dynamic system
Symptom: Interventions don't work as expected
Solution: Apply RE to understand dynamics
Pitfall 5: Local Optimization
Error: Optimizing parts without seeing whole
Symptom: Suboptimization, missing systemic issues
Solution: Use SY (systems view) before optimizing
Pitfall 6: Single-Model Thinking
Error: Using only one model/transformation
Symptom: One-dimensional analysis, blind spots
Solution: Combine multiple transformations (patterns above)
Pitfall 7: Overcomplication
Error: Applying all 6 when 2 would suffice
Symptom: Slow progress, diminishing returns
Solution: Start simple (1-2 transformations), add if needed
Transformation Selection Flowchart
START: What's your primary need? ├─ "Understand the problem" │ → Use PERSPECTIVE (P) │ → Then consider: DE (analyze) or IN (challenge) ├─ "Stuck or need creativity" │ → Use INVERSION (IN) │ → Then consider: P (reframe) or CO (rebuild) ├─ "Build/integrate solution" │ → Use COMPOSITION (CO) │ → Likely needed: DE first (analyze parts) ├─ "Analyze complex system" │ → Use DECOMPOSITION (DE) │ → Then consider: CO (reintegrate) or SY (systems view) ├─ "Handle dynamics/feedback" │ → Use RECURSION (RE) │ → Then consider: SY (systemic) or DE (analyze loops) └─ "Strategic/systemic decision" → Use META-SYSTEMS (SY) → Then consider: P (perspectives) + IN (challenge)
Quick Templates
5-Minute Quick Analysis
- P: Who are stakeholders? (30 sec)
- IN: What's the opposite? (30 sec)
- DE: What's the bottleneck? (1 min)
- CO: How to integrate? (1 min)
- RE: What's the feedback? (1 min)
- SY: What's the leverage? (1 min)
One-Page Strategy
Problem: [1 sentence]
Perspective: [Key stakeholders, key lens]
Inversion: [What NOT to do]
Decomposition: [Critical components]
Composition: [How they integrate]
Recursion: [Key feedback loop]
Systems: [Leverage point]
Action: [Next step]
Resources
- HUMMBL Framework Skill: Complete model reference
- Model Codes: P1-P20, IN1-IN20, CO1-CO20, DE1-DE20, RE1-RE20, SY1-SY20
- Quality Standard: 9.0/10 minimum for application
- Validation: Oct 29, 2025 Base120 specification
Success Criteria
Effective transformation application achieves:
- ✅ Clear process followed
- ✅ Appropriate transformation selected
- ✅ Insights generated (not just analysis)
- ✅ Actionable outputs
- ✅ Documented reasoning
Application fails if:
- ❌ Wrong transformation chosen
- ❌ Process skipped/rushed
- ❌ No insights emerged
- ❌ Can't act on results
- ❌ Reasoning not documented