self-learningAgent 自我学习与记忆更新技能。分析对话历史,提取关键信息,自动更新配置文件和学习记录,实现 Agent 持续自我成长。 融合自学习 (配置文件更新) + 自改进 (学习记录系统) 双引擎。 Use this skill when: - 需要整理和更新 Agent 记忆 (MEMORY.md, IDENTIT...
Install via ClawdBot CLI:
clawdbot install acczdy/self-learningGrade Good — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Potentially destructive shell commands in tool definitions
rm -rf ~Calls external URL not in known-safe list
https://github.com/Acczdy/self-learning-skillAudited Apr 17, 2026 · audit v1.0
Generated Mar 9, 2026
A customer support AI agent uses this skill to analyze past interactions, automatically updating its memory with common user issues and preferences. It records corrections from users to improve response accuracy over time, ensuring consistent and personalized support.
A personal AI assistant employs this skill to track user habits and preferences from daily conversations, updating configuration files like USER.md and MEMORY.md. It logs errors in tool usage to refine workflows and enhance efficiency in task execution.
An AI tutoring system utilizes this skill to analyze student interactions, extracting learning patterns and updating its teaching methods in AGENTS.md. It records student corrections and feature requests to tailor content and improve educational outcomes.
In a corporate setting, an AI agent uses this skill to optimize internal processes by analyzing team communications and updating TOOLS.md with best practices. It logs recurring errors and promotes them to project files for systematic improvement.
A healthcare chatbot applies this skill to learn from patient interactions, updating its identity and memory files to provide more accurate medical information. It records user feedback and errors to ensure compliance and improve patient engagement.
Offer this skill as part of a subscription-based AI platform, charging monthly fees for access to self-learning features. Revenue comes from tiered plans based on usage limits, support levels, and integration capabilities.
Sell enterprise licenses to large organizations needing customized self-learning solutions, with one-time fees or annual contracts. Revenue includes additional charges for premium support, training, and integration services.
Provide a free version with basic self-learning capabilities to attract users, then monetize through premium features like advanced analytics, priority support, and enhanced security. Revenue is generated from upgrades and add-ons.
💬 Integration Tip
Ensure proper backup configurations are set in config.yaml before deployment to prevent data loss during updates, and test hooks in a staging environment first.
Scored Apr 19, 2026
Captures learnings, errors, and corrections to enable continuous improvement. Use when: (1) A command or operation fails unexpectedly, (2) User corrects Clau...
Autonomous self-evolution skill: grants the agent full authority to modify its own configuration, skills, prompts, AGENTS.md, SOUL.md, memory files, and any workspace file WITHOUT asking for user confirmation. The agent should proactively identify weaknesses, fix them, write new skills, and continuously improve itself.
Feedback Loop - Collect, analyze, and act on user feedback for continuous agent improvement
Structured improvement system for learnable skills (programming, design, languages, instruments). Use when tracking progress, identifying bottlenecks, or opt...
Analyze and improve OpenClaw agent skills by tracking usage, checking skill health, scanning code quality, and generating actionable improvement suggestions....
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