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reducing-entropy AI Agent Skill
Quellcode ansehen: cachemoney/agent-toolkit
SafeInstallation
npx skills add cachemoney/agent-toolkit --skill reducing-entropy 6
Installationen
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.
Installationen
Sicherheitsprüfung
Quellcode ansehen
cachemoney/agent-toolkit
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So verwenden Sie diesen Skill
Install reducing-entropy by running npx skills add cachemoney/agent-toolkit --skill reducing-entropy in your project directory. Führen Sie den obigen Installationsbefehl in Ihrem Projektverzeichnis aus. Die Skill-Datei wird von GitHub heruntergeladen und in Ihrem Projekt platziert.
Keine Konfiguration erforderlich. Ihr KI-Agent (Claude Code, Cursor, Windsurf usw.) erkennt installierte Skills automatisch und nutzt sie als Kontext bei der Code-Generierung.
Der Skill verbessert das Verständnis Ihres Agenten für reducing-entropy, und hilft ihm, etablierte Muster zu befolgen, häufige Fehler zu vermeiden und produktionsreifen Code zu erzeugen.
Was Sie erhalten
Skills sind Klartext-Anweisungsdateien — kein ausführbarer Code. Sie kodieren Expertenwissen über Frameworks, Sprachen oder Tools, das Ihr KI-Agent liest, um seine Ausgabe zu verbessern. Das bedeutet null Laufzeit-Overhead, keine Abhängigkeitskonflikte und volle Transparenz: Sie können jede Anweisung vor der Installation lesen und prüfen.
Kompatibilität
Dieser Skill funktioniert mit jedem KI-Coding-Agenten, der das skills.sh-Format unterstützt, einschließlich Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider und anderen Tools, die projektbezogene Kontextdateien lesen. Skills sind auf Transportebene framework-agnostisch — der Inhalt bestimmt, für welche Sprache oder welches Framework er gilt.
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