swmm-modeling-memory

@zhonghao1995 · 收录于 1 周前

Read historical Agentic SWMM experiment audit artifacts and summarize repeated assumptions, QA issues, failures, missing evidence, run-to-run differences, lessons learned, and controlled skill update proposals. Use downstream of swmm-experiment-audit when multiple audited runs exist or when a user asks for modeling memory, failure-pattern extraction, lessons learned, or human-reviewed skill refinement proposals.

场景实验复盘失败分析知识沉淀

适合你，如果经常做SWMM实验审计并需要总结规律

/ 下载安装

https://github.com/Zhonghao1995/agentic-swmm-workflow/tree/main/skills/swmm-modeling-memory ↗

/ 通过 npx 安装 校验哈希

npx oh-my-skill add zhonghao1995/agentic-swmm-workflow/swmm-modeling-memory

/ 通过 bash 安装

curl -fsSL https://oh-my-skill.com/install.sh | bash -s -- zhonghao1995/agentic-swmm-workflow/swmm-modeling-memory

/ 已经装过?验证本机副本,不用重装

npx oh-my-skill verify zhonghao1995/agentic-swmm-workflow/swmm-modeling-memory

安装目标可用 --agent / --scope 或 --to 明确指定;省略时只会在唯一已存在的 agent 目录上自动选择,零命中或多命中会停止并提示。content_hash 缺失或不一致均拒装。

19GitHub stars

~1.2K最小装载

~1.2K含声明引用

~10.2K文本包总量

索引托管

登录即可评论;带「已验证安装」的,是发布者名下有本店的安装或持有记录。

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