统一自我进化系统，整合 self-improving-agent、self-improving、mulch 三个技能的优势，提供结构化日志、三层存储、自动升级、模式检测、命名空间隔离和 token
--- name: Auto-Improve Skill description: Automatische Selbst-Verbesserung durch Fehler-Lernen und Pattern-Erkennung --- # Auto-Improve Skill **Kernprinzip:** Jede Aktion macht mich besser f
Generic agent self-improvement skill built on OpenClaw-RL research (arxiv.org/abs/2603.10165). Captures evaluative signals (+1/-1) and directive hints from a...
Structured improvement system for learnable skills (programming, design, languages, instruments). Use when tracking progress, identifying bottlenecks, or opt...
Systematic improvement of thinking patterns, decision quality, problem-solving abilities, and mental performance. Use when noticing cognitive biases, making...
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Meta-skill: evaluate any Factory Droid skill against the current project codebase and suggest concrete improvements. Use when: a skill feels incomplete, prod...
Self-improving agent system that analyzes conversation quality, identifies improvement opportunities, and continuously optimizes response strategies.
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Claude ('No, that's wrong...', 'Actually...'),
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User explicitly co...
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use when...
超级自我优化智能体 - 多模态记忆、反馈循环、元学习、置信度校准 / Super Self-Improving Agent - Multi-modal Memory, Feedback Loops, Meta-Learning, Confidence Calibration
Self-reflection + Self-criticism + learning from corrections. Agent evaluates its own work, catches mistakes, and improves permanently.
This skill should be used when the user asks to capture learnings, log recurring errors, record feature gaps, improve agent workflows over time, operationali...
Self-reflection + Self-criticism + Self-learning + Self-organizing memory. Agent evaluates its own work, catches mistakes, and improves permanently. Use befo...