A manual-only skill that optimizes for the smallest possible codebase, not the smallest change. It flips the usual question from "what's the minimal diff" to "what's the minimal result." Measures success by total lines after, not effort expended. Comes with reference mindsets you're required to load before starting. The core heuristic is ruthlessly simple: if a change adds net code to the codebase, reject it, even if it improves organization or flexibility. Best for projects drowning in accumulated complexity where you need philosophical backup to justify aggressive deletion. The red flags section alone is worth reading.

skills.sh installs
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last updated
Aug 21, 2026

Install

$ npx -y skills add davila7/claude-code-templates --skill reducing-entropy --agent claude-code

Installs into .claude/skills of the current project.

Files

Reducing Entropy

More code begets more code. Entropy accumulates. This skill biases toward the smallest possible codebase.

Core question: "What does the codebase look like after?"

Before You Begin

Load at least one mindset from references/

  1. List the files in the reference directory
  2. Read frontmatter descriptions to pick which applies
  3. Load at least one
  4. State which you loaded and its core principle

Do not proceed until you've done this.

The Goal

The goal is less total code in the final codebase - not less code to write right now.

  • Writing 50 lines that delete 200 lines = net win
  • Keeping 14 functions to avoid writing 2 = net loss
  • "No churn" is not a goal. Less code is the goal.

Measure the end state, not the effort.

Three Questions

1. What's the smallest codebase that solves this?

Not "what's the smallest change" - what's the smallest result.

  • Could this be 2 functions instead of 14?
  • Could this be 0 functions (delete the feature)?
  • What would we delete if we did this?

2. Does the proposed change result in less total code?

Count lines before and after. If after > before, reject it.

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Details

Repository
github.com/davila7/claude-code-templates
First seen
Jun 3, 2026

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