reducing-entropy
Manual-only skill for minimizing total codebase size. Only activate when explicitly requested by user. Measures success by final code amount, not effort. Bias toward deletion.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/softaworks/agent-toolkit --skill reducing-entropy- 01
Install
Run the command in your project. The CLI asks which agents to install for.
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Describe the task
Ask your agent for something this skill covers. It loads reducing-entropy automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
Security audits
Independent scans of the skill's instructions and bundled files.
SKILL.md
The instructions your agent reads when the skill is triggered.
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/
- List the files in the reference directory
- Read frontmatter descriptions to pick which applies
- Load at least one
- 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.
- "Better organized" but more code = more entropy
- "More flexible" but more code = more entropy
- "Cleaner separation" but more code = more entropy
3. What can we delete?
Every change is an opportunity to delete. Ask:
- What does this make obsolete?
- What was only needed because of what we're replacing?
- What's the maximum we could remove?
Red Flags
- "Keep what exists" - Status quo bias. The question is total code, not churn.
- "This adds flexibility" - Flexibility for what? YAGNI.
- "Better separation of concerns" - More files/functions = more code. Separation isn't free.
- "Type safety" - Worth how many lines? Sometimes runtime checks in less code wins.
- "Easier to understand" - 14 things are not easier than 2 things.
When This Doesn't Apply
- The codebase is already minimal for what it does
- You're in a framework with strong conventions (don't fight it)
- Regulatory/compliance requirements mandate certain structures
Reference Mindsets
See references/ for philosophical grounding.
To add new mindsets, see adding-reference-mindsets.md.
Bias toward deletion. Measure the end state.
FAQ
What does the reducing-entropy skill do?
Manual-only skill for minimizing total codebase size. Only activate when explicitly requested by user. Measures success by final code amount, not effort. Bias toward deletion.
How do I install reducing-entropy?
Run npx skills add https://github.com/softaworks/agent-toolkit --skill reducing-entropy in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/reducing-entropy/ (personal) or .claude/skills/reducing-entropy/ (project).
Which AI agents can use reducing-entropy?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is reducing-entropy safe to install?
Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed; Runlayer passed; ZeroLeaks passed. As with any skill, read the SKILL.md and bundled scripts before installing.
Who maintains reducing-entropy?
It is published by softaworks in softaworks/agent-toolkit. It has 4,010 recorded installs.
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