Agent skill

simplicity_preference

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npx add-skill https://github.com/colinalexander/buffet/tree/main/skills/simplicity_preference

SKILL.md

SKILL: Simplicity Preference

Summary

Simplicity Preference is the skill of favoring businesses, structures, and decisions that are understandable, explainable, and monitorable over those that rely on complexity. It treats unnecessary complexity as a source of hidden risk rather than sophistication.

This skill enforces clarity as a form of risk control.


Judgment Role

This skill functions as a complexity-limiting constraint.

It ensures that complexity is incurred only when it is unavoidable and explicitly compensated, and that decisions remain within the system’s governance capacity.


Judgment Checkpoints

Checkpoint 1: Complexity Necessity Test

Purpose:
Determine whether complexity is essential or optional.

Key Questions:

  • Why is this complex?
  • What breaks if complexity is removed?
  • Is complexity adding return or obscuring risk?

Required Evidence / Inputs:

  • Description of complex elements
  • Justification for their necessity

Expected Outputs:

  • Judgment Record affirming or rejecting complexity necessity

Failure Modes Guarded Against:

  • Complexity for appearance
  • Overengineering

Escalation Criteria:

  • Complexity exists without clear justification

Checkpoint 2: Explainability Threshold

Purpose:
Ensure the decision can be explained clearly to informed stakeholders.

Key Questions:

  • Can this be explained without jargon?
  • Would an informed owner understand the risks?
  • Can rationale be summarized concisely?

Required Evidence / Inputs:

  • Plain-language explanation
  • Stakeholder communication drafts

Expected Outputs:

  • Judgment Record affirming explainability

Failure Modes Guarded Against:

  • Obfuscation
  • Expert dependency

Escalation Criteria:

  • Decision cannot be explained simply

Checkpoint 3: Monitoring Burden Assessment

Purpose:
Ensure complexity does not exceed monitoring and governance capacity.

Key Questions:

  • What must be monitored continuously?
  • Are monitoring signals reliable?
  • What happens if monitoring fails?

Required Evidence / Inputs:

  • Monitoring requirements
  • Governance resource assessment

Expected Outputs:

  • Judgment Record evaluating monitoring burden

Failure Modes Guarded Against:

  • Blind spots
  • Governance overload

Escalation Criteria:

  • Monitoring exceeds institutional capacity

Authority Boundaries

  • Humans: Full authority to approve complexity.
  • Models: Advisory only; may flag complexity and summarize dependencies.
  • Prohibited: Models may not approve complexity independently.

This skill may veto opportunities even with attractive economics.


Time Horizon

  • Primary horizon: Entire holding period
  • Secondary horizon: Governance review cycles

Complexity should decrease, not increase, over time.


Interaction With Other Skills

Upstream (inputs from):

  • circle_of_competence_enforcement
  • business_quality_assessment

Downstream (feeds into):

  • narrative_resistance
  • permanent_capital_loss_avoidance

Auditability & Records

  • Complexity justifications recorded
  • Monitoring plans documented
  • Periodic complexity audits conducted
  • Records retained permanently

Common Misuse Patterns

  • Confusing complexity with edge
  • Delegating understanding to specialists
  • Allowing systems to become opaque over time

Versioning

  • Skill version: 1.0
  • Last reviewed: 2026-01-09
  • Change notes: Initial canonical definition

Notes

Complexity is easy to add and hard to remove. This skill ensures it earns its place.

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