P13 Spatial Framing

P13 Spatial Framing

Apply the P13 Spatial Framing transformation to scale perspective from local details to global patterns and back.

What is P13?

P13 (Spatial Framing) Scale perspective from local details to global patterns and back.

When to Use P13

Ideal Situations

• Reframe a problem to uncover hidden assumptions or perspectives
• Align stakeholders around a shared understanding
• Clarify scope before choosing a solution path

Trigger Questions

• "How can we use Spatial Framing here?"
• "What changes if we apply P13 to this product requirements review?"
• "Which assumptions does P13 help us surface?"

The P13 Process

Step 1: Define the focus

// Using P13 (Spatial Framing) - Establish the focus
const focus = "Scale perspective from local details to global patterns and back";

Step 2: Apply the model

// Using P13 (Spatial Framing) - Apply the transformation
const output = applyModel("P13", focus);

Step 3: Synthesize outcomes

// Using P13 (Spatial Framing) - Capture insights and decisions
const insights = summarize(output);

Practical Example

// Using P13 (Spatial Framing) - Example in a product requirements review
const result = applyModel("P13", "Scale perspective from local details to global patterns and back" );

Integration with Other Transformations

• P13 -> DE3: Pair with DE3 when sequencing matters.
• P13 -> IN2: Use IN2 to validate or stress-test.
• P13 -> CO5: Apply CO5 to compose the output.

Implementation Checklist

• Identify the context that requires P13
• Apply the model using explicit P13 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 P13 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/P-perspective/p13-spatial-framing"; }
  ];
}

Manual Installation

moltbot-registry install hummbl-agent/p13-spatial-framing

Usage with Commands

/apply-transformation P13 "Scale perspective from local details to global patterns and back"

Apply P13 to create repeatable, explicit mental model reasoning.