Autonome Verbesserung nach dem Autoresearch-Paradigma (Karpathy). Zwei Modi: (1) Skill-Modus — optimiert eine SKILL.md durch iterative Mutation und Evaluation. (2) Generic-Modus — optimiert beliebige Dateien gegen jede mechanische Metrik (Testabdeckung, Bundle-Size, Lighthouse-Score, Docker-Image-Größe, etc.). Zwei Ausführungsmodi: Auto (vollautonomer Loop, ideal für Overnight-Runs) und Guided (interaktiv, User entscheidet bei jedem Schritt mit). Führt einen Experiment-Loop durch: analysieren → Hypothese bilden → mutieren → verifizieren → Score messen → keep/revert → wiederholen. Kann über Nacht als Scheduled Task laufen und liefert morgens einen Experiment-Report. IMMER verwenden bei: Skill autonom verbessern, Skill optimieren ohne manuelles Feedback, Skill optimieren mit Feedback, Autoresearch, autonomer Verbesserungsloop, Skill-Evolution, overnight optimization, Skill-Experiment, "lass den Skill über Nacht besser werden", Skill-Score verbessern, automatische Skill-Iteration, Code-Metrik verbessern, Testabdeckung erhöhen, Bundle-Size reduzieren, Performance-Score optimieren, beliebige Metrik optimieren, "hilf mir den Skill zu verbessern", Skill interaktiv verbessern, geführte Optimierung.
How to install skill-forge?
godmodeai2025/skill-forge
$npx -y skills add godmodeai2025/skill-forge --skill skill-forgeInstalls into the current project.
›Prefer a prompt? Paste this to your agent
Run `npx skills use "https://github.com/godmodeai2025/skill-forge" --skill "godmodeai2025/skill-forge"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/godmodeai2025/skill-forge" that are relevant to the current task. Run `npx skills add "https://github.com/godmodeai2025/skill-forge"` and select the relevant skills, then follow their instructions.
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