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Dbs Update

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dontbesilent2025
dbs-update

更新官方 dbskill,并保留其他 Skill 与用户存档。用户要求更新、升级、检查 dbskill 版本,或在更新提醒后回复 1 时使用。

Overview

Publisherdontbesilent2025
Repositorydbskill
Skill namedbs-update
Stars
10.4K
Forks
1.2K
Bundled files
1
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by dontbesilent2025 on GitHub. Read the source before you install it.

Installation

Install the Dbs Update AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-update
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/dontbesilent2025/dbskill.git /tmp/dbskill
mkdir -p .claude/skills
cp -r /tmp/dbskill/skills/dbs-update .claude/skills/dbs-update
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Dbs Update in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Dbs Update on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Dbs Update is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

dbs-update:更新 dbskill

用户已经明确要求更新 dbskill,或在上一条 dbskill 更新提醒后回复了 1。两种情况都直接执行更新,不再做第二次文字确认;宿主若要求 Shell 权限,由用户在宿主的权限窗口中决定。

只有上一条助手回复明确包含 dbskill 更新提醒时,单独回复的 1 才代表更新。缺少这段上下文时,不要自行解释数字含义。

更新范围

  • 只更新官方仓库 dontbesilent2025/dbskill。
  • 保留用户在 ~/.dbs/ 中的存档、报告和决策记录。
  • 不更新用户安装的其他 Skill。
  • 不创建后台任务、定时任务或 Agent Hook。

执行步骤

  1. 运行以下命令,同步官方 dbskill 的全部正式 Skill 到已支持的 Agent:

    bash
    npx -y skills add dontbesilent2025/dbskill -g --all
  2. 命令成功后记录本次更新时间,避免当前对话仍加载旧 Skill 时重复提醒:

    bash
    mkdir -p "$HOME/.dbs" && date +%s > "$HOME/.dbs/update_check_at"
  3. 根据安装命令的退出状态确认是否完成。命令成功时告诉用户更新已完成,并提醒用户新建一次对话后再使用新能力。

  4. 命令失败时,用一句话说明失败原因和下一步需要用户处理的权限或网络问题。不要把完整终端日志直接贴给用户,除非用户要求。

回复格式

成功:

dbskill 已更新完成。当前对话如果还没有读取到新能力,新建一次对话后即可使用。

失败:

dbskill 没有更新完成:{简短原因}。处理完 {权限或网络问题} 后,再说一次「更新 dbskill」。

边界

  • 用户只问版本、更新内容或是否需要更新时,先回答问题,不执行命令。
  • 用户明确要求检查更新且希望实际同步时,按本 Skill 更新。
  • 不使用 npx skills update,该命令可能更新用户安装的其他 Skill。

完成当前任务后直接结束。只有用户明确询问下一步,且当前环境已经安装 /dbs 时,简短提示:「下一步不确定时,可以输入 /dbs。」

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Dbs Update AI skill do?

更新官方 dbskill,并保留其他 Skill 与用户存档。用户要求更新、升级、检查 dbskill 版本,或在更新提醒后回复 1 时使用。

Why use Dbs Update on TypingMind?

Because you install it once and use it with any model. Dbs Update is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Dbs Update in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/dontbesilent2025/dbskill/tree/main/skills/dbs-update. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Dbs Update?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Dbs Update?

As many as you like. As long as a model supports skills, you can use Dbs Update with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Dbs Update AI skill free?

It is published on GitHub by dontbesilent2025. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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