Extract patterns from skill interactions and update related skills automatically.
npx skills add https://github.com/liutao96/skill --skill self-improving-agent-liutao96
Please help me install this Agent Skill. Skill: self-improving-agent Source: https://github.com/liutao96/skill/tree/main/self-improving-agent Command: npx skills add https://github.com/liutao96/skill --skill self-improving-agent-liutao96
Solve stagnation by enabling learning from every skill interaction.
Run the self-improvement cycle after any skill completes to extract patterns and update related skills.
High-intent search queries and answers about installing and using this skill.
Agent stagnation is solved by running a self-improvement cycle after every skill interaction to extract patterns and automatically update related skills using a multi-memory architecture.
Hooks-driven automation triggers automatic self-correction and updates before execution starts, after completion, and on errors, enabling the agent to validate and adjust its behavior without manual intervention.
The best way to implement lifelong learning is using a multi-memory architecture that separates semantic memory for patterns, episodic memory for experiences, and working memory for active context.
Yes, you can trace improvements using evolution markers and perform memory consolidation to automatically synchronize learned patterns and experiences across related skills.
Human-in-the-loop validation is required alongside periodic self-validation checks to ensure the agent's automated learning and cross-skill updates remain reliable and aligned with expectations.
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