Implements a circadian self-improvement cycle for agents: day full agentic grind → evening analysis (detect >60% redundant/saturated data) → night targeted fine-tuning (LoRA/Unsloth/pruning on daily errors) → morning reboot with +15-25% density and zero noise.
Scanned 9/29/2026
Skills Directorynpx -y skills add Arry8/openclaw-edge --skill circadian-evolution --agent claude-codeInstalls into .claude/skills of the current project.
Are you the author of Circadian Evolution?
Add the live security badge to your README — it updates automatically with every re-scan.
[](https://www.skillsdirectory.com/skills/arry8-circadian-evolution)More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.
---
name: circadian-evolution
description: Implements a circadian self-improvement cycle for agents: day full agentic grind → evening analysis (detect >60% redundant/saturated data) → night targeted fine-tuning (LoRA/Unsloth/pruning on daily errors) → morning reboot with +15-25% density and zero noise.
---\# Circadian Evolution Protocol v1.0
\*\*Description\*\*:
Implémente un cycle auto-amélioration circadien pour l'agent :
\- Jour : grind agentic full send (computer use, tâches réelles)
\- Soir : evening\_analysis – scan logs/erreurs, détection redondance/saturation/overfitting (>60% bruit viré)
\- Nuit : night\_training – fine-tune LoRA/Unsloth/pruning sur données du jour (Colab auto ou local GPU)
\- Matin : reboot avec nouveaux poids +15-25% dense, zéro gras
\*\*Utilisation\*\*:
\- Active le cycle 24/7 via cron/background.
\- Détecte saturation des données (scientifique/socio/web) et prune automatiquement.
\- Objectif : transformer un petit modèle local en super-intelligence dense sans labs closed.
\*\*Triggers / Quand l'utiliser\*\*:
\- "lance le protocole circadien"
\- "nettoie le bruit / prune overfitting"
\- "auto-évolution nocturne"
\- "fine-tune sur mes erreurs du jour"
\- Toute demande d'auto-amélioration continue.
\*\*Configuration requise\*\*:
\- Python + libs : unsloth, peft, torch (pour night\_training)
\- Colab API ou local GPU pour training
\- Cron jobs pour scheduling (voir scripts/)
\*\*Scripts / Resources\*\*:
\- evening\_analysis.py : analyse logs, cosine similarity pour redondance
\- night\_training.py : lance Selenium/Colab pour fine-tune + merge
\- dashboard.py : matplotlib pour voir bruit viré vs gain densité
\*\*Sécurité\*\*:
\- Sandbox tout training
\- Rollback auto si catastrophic forgetting
Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.
No comments yet. Be the first to comment!
