self-learning
代理的自学习能力。捕获执行跟踪、提取见解并调整代理行为。在完成复杂任务后、代理遇到重复出现的问题或随着时间的推移优化工作流程时使用。对于协调器、工作器和审核器等多代理系统至关重要。
SKILL.md
Enables agents to learn from their execution history by capturing traces, extracting actionable insights, and adapting behavior. Transforms raw execution patterns into reusable knowledge structures that improve future performance.
| Success Patterns | Approaches that consistently work | "Loading context.md before task start reduces errors by 40%" | | Failure Patterns | Recurring causes of failures | " Skipping lspdiagnostics leads to type errors in production" | | Efficiency Patterns | Ways to complete tasks faster | "Reading multiple files in parallel reduces context load time" |
| Coordination Patterns | Best practices for multi-agent work | "Orchestrator spawning 2 workers instead of 3 reduces merge conflicts" | | Knowledge Gaps | Information that should have been available | "Project lacks centralized error handling documentation" |
可引用信息
为搜索与 AI 引用准备的稳定字段与命令。
- 安装命令
npx skills add https://github.com/gotar/opencode-config --skill self-learning- 分类
- </>开发工具
- 认证
- —
- 收录时间
- 2026-02-01
- 更新时间
- 2026-02-18
快速解答
什么是 self-learning?
代理的自学习能力。捕获执行跟踪、提取见解并调整代理行为。在完成复杂任务后、代理遇到重复出现的问题或随着时间的推移优化工作流程时使用。对于协调器、工作器和审核器等多代理系统至关重要。 来源:gotar/opencode-config。
如何安装 self-learning?
打开你的终端或命令行工具(如 Terminal、iTerm、Windows Terminal 等) 复制并运行以下命令:npx skills add https://github.com/gotar/opencode-config --skill self-learning 安装完成后,技能将自动配置到你的 AI 编程环境中,可以在 Claude Code 或 Cursor 中使用
这个 Skill 的源码在哪?
https://github.com/gotar/opencode-config