Xskill Registry Db First logo

Xskill Registry Db First

Organization
SkillNerds
xskill-registry-db-first

XSkill 数据访问原则:文件系统是内容真相,由 worker 同步进库;面板与业务读 请求只走数据库;内核 agent loop 可直接写盘。适用于改 dashboard、recommend、 team、pipeline、ecosystems 等读路径,以及审查是否又引入业务侧扫盘。

Overview

PublisherSkillNerds
Repositoryxskill
Skill namexskill-registry-db-first
Stars
128
Forks
26
Bundled files
1
LicenseMIT
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 SkillNerds on GitHub. Read the source before you install it.

Installation

Install the Xskill Registry Db First 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/SkillNerds/xskill/tree/main/.agents/skills/xskill-registry-db-first
  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/SkillNerds/xskill.git /tmp/xskill
mkdir -p .claude/skills
cp -r /tmp/xskill/.agents/skills/xskill-registry-db-first .claude/skills/xskill-registry-db-first
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Xskill Registry Db First 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 Xskill Registry Db First 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 Xskill Registry Db First 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.

XSkill 盘与库

改读数据相关代码,或审查业务请求是否又在扫盘时,先看本 skill。

各库职责与每张表的 schema 见 databases.md。

架构

整体分三层。

文件系统存内容真相,例如 skill 目录里的文件。这些内容不会在每次面板请求时被重新扫描聚合。

有 worker 定期把文件系统上需要给业务侧查询的信息同步进 SQLite。同步可以按文件是否变化做增量。新的「盘到库」需求应并进已有扫描过程,而不是再开一轮同等规模的全量遍历。

面板、对外 API、推荐与其它业务读请求,一律通过数据库访问投影后的数据。业务侧不自己搭扫盘逻辑去凑结果。

内核里的 agent loop 在跑管线时可以直接读写文件系统,这是写真相的一侧,与业务读路径分开。

规则

业务面新增或修改请求时,所需数据从对应数据库取。不允许在业务请求路径里私自增加扫盘、全目录遍历、按请求反复读盘聚合。

若发现库与盘不一致,应修同步入口,而不是在查询里临时扫盘兜底。

若有新的文件系统到数据库的同步需求,去改现有的扫描同步 worker,把新投影挂进同一次遍历。不要为每个新需求再加一轮 N 加一的全量扫盘,以保持 IO 可控。

新建业务库前先查 databases.md。已有库能覆盖的,不要平行再造一套真相。

多实例或独立 home 访问库时,路径要显式,避免误连全局默认库。

检查

  1. 这次读的数据属于哪一个库?见 databases.md。
  2. 改的是业务读路径,还是内核写盘 / worker 同步?三者不要混用扫盘策略。
  3. 若要加盘到库同步,是否已并进现有 worker 的同一轮扫描?
  4. PR 是否在面板或 API 热路径新增了扫盘?有则打回。

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 Xskill Registry Db First AI skill do?

XSkill 数据访问原则:文件系统是内容真相,由 worker 同步进库;面板与业务读 请求只走数据库;内核 agent loop 可直接写盘。适用于改 dashboard、recommend、 team、pipeline、ecosystems 等读路径,以及审查是否又引入业务侧扫盘。

Why use Xskill Registry Db First on TypingMind?

Because you install it once and use it with any model. Xskill Registry Db First 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 Xskill Registry Db First in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/SkillNerds/xskill/tree/main/.agents/skills/xskill-registry-db-first. 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 Xskill Registry Db First?

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 Xskill Registry Db First?

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

Is the Xskill Registry Db First AI skill free?

Yes. It is published on GitHub by SkillNerds under the MIT license. 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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