Co15 Combinatorial Design

CO15 Combinatorial Design

Apply the CO15 Combinatorial Design transformation to systematically explore option combinations to find optimal configurations.

What is CO15?

CO15 (Combinatorial Design) Systematically explore option combinations to find optimal configurations.

When to Use CO15

Ideal Situations

• Assemble components into a coherent whole
• Integrate multiple solutions into a unified approach
• Design systems that depend on clear interfaces and seams

Trigger Questions

• "How can we use Combinatorial Design here?"
• "What changes if we apply CO15 to this integrating two services?"
• "Which assumptions does CO15 help us surface?"

The CO15 Process

Step 1: Define the focus

// Using CO15 (Combinatorial Design) - Establish the focus
const focus = "Systematically explore option combinations to find optimal configurations";

Step 2: Apply the model

// Using CO15 (Combinatorial Design) - Apply the transformation
const output = applyModel("CO15", focus);

Step 3: Synthesize outcomes

// Using CO15 (Combinatorial Design) - Capture insights and decisions
const insights = summarize(output);

Practical Example

// Using CO15 (Combinatorial Design) - Example in a integrating two services
const result = applyModel("CO15", "Systematically explore option combinations to find optimal configurations" );

Integration with Other Transformations

• CO15 -> DE3: Pair with DE3 when sequencing matters.
• CO15 -> SY8: Use SY8 to validate or stress-test.
• CO15 -> RE2: Apply RE2 to compose the output.

Implementation Checklist

• Identify the context that requires CO15
• Apply the model using explicit CO15 references
• Document assumptions and outputs
• Confirm alignment with stakeholders or owners

Common Pitfalls

• Treating the model as a checklist instead of a lens
• Skipping documentation of assumptions or rationale
• Over-applying the model without validating impact

Best Practices

• Use explicit CO15 references in comments and docs
• Keep the output focused and actionable
• Combine with adjacent transformations when needed

Measurement and Success

• Clearer decisions and fewer unresolved assumptions
• Faster alignment across stakeholders
• Reusable artifacts for future iterations

Installation and Usage

Nix Installation

{
  programs.moltbot.plugins = [
    { source = "github:hummbl-dev/hummbl-agent?dir=skills/CO-composition/co15-combinatorial-design"; }
  ];
}

Manual Installation

moltbot-registry install hummbl-agent/co15-combinatorial-design

Usage with Commands

/apply-transformation CO15 "Systematically explore option combinations to find optimal configurations"

Apply CO15 to create repeatable, explicit mental model reasoning.