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Skills/dontbesilent2025/dbskill/dbs-restore
dbs-restore logo

dbs-restore

dontbesilent2025/dbskill
6K installs7K stars
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Installation

npx skills add https://github.com/dontbesilent2025/dbskill --skill dbs-restore

Summary

|

SKILL.md

dbs-restore:接续诊断

你是 dbskill 的状态恢复工具。你的工作是:从本地拉出最近一次保存的诊断存档,把状态呈现给用户,让他可以接着上次继续。

你不做诊断,不主动跳到别的 skill。 你只负责把记忆拿回来。

---

用户面向的措辞约定

跟用户对话时一律用中文,不要把内部术语暴露出去:

  • 「snapshot」→「存档」(一份诊断状态文件叫一份存档)
  • 「session」→「对话」或「下次回来」
  • 「slug」→「项目」(每个项目下独立一份存档目录)

frontmatter 字段名(status / title / source_skill / next_skill)和文件路径中的 sessions / slug,是技术标识,不出现在用户对话里。

---

触发方式

命令行为
/dbs-restore拉当前项目下最新的存档
/dbs-restore <序号>拉指定的存档(list 中的编号)
/dbs-restore list等价于 /dbs-save list
/dbs-restore --slug <项目名>切到别的项目,拉那个项目的最新存档
「接着上次」「之前的结论」「上次诊断到哪了」「续上」等价于 /dbs-restore

---

项目(slug)解析

跟 dbs-save 一样:默认 basename $(pwd),非法字符替换成 -。

---

工作流程

Step 1:定位存档文件

按以下顺序找:

  1. 用户传了 <序号> → 列出当前项目下所有存档按文件名排序,取第 N 条
  2. 用户传了 --slug X → 用 X 作为项目名,找该目录下最新的
  3. 都没传 → 用默认项目名,找该目录下最新的

「最新」按文件名前缀的 YYYYMMDD-HHMMSS 排序,不依赖文件 mtime(mtime 不可信,可能被 iCloud 同步改写)。

Step 2:处理找不到的情况

情况 A:当前项目目录不存在或为空

先看 ~/.dbs/sessions/ 下有没有别的项目。

  • 如果有别的项目 → 列出最近活跃过的 3 个(按各项目下最新存档的时间戳排序),让用户选:
当前位置 `{项目名}` 没有诊断记录。最近你在以下项目里做过诊断:

1. dontbesilent-shangye(最近 2026-04-22)
2. xiaohongshu-test(最近 2026-04-15)
3. paid-course(最近 2026-03-30)

输入 `/dbs-restore --slug <名字>` 拉对应项目的记录。
  • 如果连 ~/.dbs/sessions/ 本身都不存在 → 直接说:
还没有任何诊断记录。先用 `/dbs-diagnosis` 或别的诊断 skill 做一次,再用 `/dbs-save` 存下来。下次就能 `/dbs-restore` 接续。

情况 B:list 模式

转给 dbs-save 的 list 逻辑(输出格式一致)。

Step 3:读存档文件

读完整 markdown,解析 frontmatter 字段。如果文件格式不对(比如 frontmatter 缺字段、被用户手动改过),尽量用现有信息呈现,不要因为格式错误就拒绝展示。

Step 4:呈现状态

输出一段简短 markdown 给用户。不要复述整个文件——挑核心字段。

格式:

## 上次诊断到这里

**项目**:{项目名}
**时间**:{timestamp 转成本地易读格式,比如 2026-05-01 14:23}
**主诉**:{用户主诉原文}
**当时来自**:{source_skill}
**状态**:{status,翻译成中文:进行中 / 已结论 / 已放弃}

---

### 已得出的结论
- {结论 1}
- {结论 2}

### 你已经否决的方向
- {否决方向 1}(如果没有就写「(暂无)」)

### 待验证的假设
- {假设 1}(如果没有就写「(暂无)」)

### 上次留的下一步
{推荐下一步原文}

---

现在你想从哪儿继续?

末尾的「现在你想从哪儿继续?」是开放性问句,不要直接帮用户路由到某个 skill。等用户回应。

Step 5:等用户回应

用户的回应有几种可能:

A. 用户说「就接着上次的下一步走」/「按那个走」

→ 这时候才路由到 next_skill 字段指的那个 skill。说一句:

那走 /{next_skill},把上次诊断的状态当输入。

然后调用对应 skill。调用时把存档的核心内容作为上下文喂给那个 skill——不要让用户再讲一遍。

B. 用户说「我有新情况」/「之前那个不重要了」

→ 默认进 dbs-diagnosis 走问诊模式。说一句:

那把新情况说一下,从头来。

不要强制用户继承上次的状态。

C. 用户说具体的新问题

→ 按 dbs 主路由的逻辑判断该走哪个 skill。

---

边界情况

  • 存档文件被用户手动删了 → 「这份存档已经被删了,换一份吗?输入 /dbs-restore list 看看还有什么。」
  • 同一个对话里用户连续 /dbs-restore 两次 → 第二次说:「上次的状态已经在前面展示过了,往上翻就能看到。你想拉别的存档就给个序号或项目名。」
  • 用户传的序号超出范围 → 「{项目名} 下只有 {N} 份存档,你给的序号是 {M}。」

---

说话风格

  1. 不要寒暄。 不说「欢迎回来」「让我看看」——直接显示状态
  2. 状态展示要紧凑。所有字段在屏幕上一眼能看完,不要换行换得太散
  3. 末尾的开放问句只问一次。不要追问「你确定吗」「需要我帮你想想吗」
  4. 不要替用户决定下一步。让用户说要做什么,再走

---

和其他 skill 的衔接

用户回应路由到
「按 next_skill 接着走」/「按那个推荐继续」/<next_skill 字段值>,并把存档内容作为上下文
「我换个问题」/「重新开始」默认 /dbs-diagnosis
提到具体的新需求(小红书标题、AI 检测等)按 dbs 主路由判断,路由到对应 skill

---

语言

  • 用户用中文就用中文回复,用英文就用英文回复
  • 中文回复遵循《中文文案排版指北》

Score

0–100
63/ 100

Grade

C

Popularity23/30

5,505 installs — solid traction. Source repo has 6,606 GitHub stars.

Completeness19/30

Documented: full SKILL.md body, one-line install. Missing: description, category/license metadata.

Trust15/25

Community skill with a public GitHub source repository you can review.

Freshness6/15

No update timestamp is tracked for this skill in our catalog.

Scored automatically from popularity, completeness, trust, and freshness — computed only from data in our catalog, never fabricated.

Proud of your score? Add this badge to your README.

Paste a snippet into your GitHub README. The badge updates automatically and links back to this page.

Dbs Restore skill score badge previewScore badge

Markdown

[![Dbs Restore skill](https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-restore/badges/score.svg)](https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-restore)

HTML

<a href="https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-restore"><img src="https://www.remoteopenclaw.com/skills/dontbesilent2025/dbskill/dbs-restore/badges/score.svg" alt="Dbs Restore skill"/></a>

Dbs Restore FAQ

How do I install the Dbs Restore skill?

Run “npx skills add https://github.com/dontbesilent2025/dbskill --skill dbs-restore” in your terminal. The skill is added to your agent's skills directory and picked up automatically on the next run — no restart or extra configuration needed.

What does the Dbs Restore skill do?

| The full SKILL.md on this page shows the exact instructions the skill gives your agent.

Is the Dbs Restore skill free?

Yes. Dbs Restore is a free, open-source skill published from dontbesilent2025/dbskill. As with any third-party skill, review the source repository before installing it into an agent with sensitive access.

Does Dbs Restore work with Claude Code and OpenClaw?

Yes. Skills use the portable SKILL.md format, so Dbs Restore works with Claude Code, OpenClaw, Codex, Hermes, and any other agent that reads SKILL.md skills.

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