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Sql Query

CommunityPopular
mateaix
sql_query

当用户提出数据查询需求（如'查数'、'查一下订单量'、'有多少用户'、'帮我跑个SQL'等），使用数据源工具发现表结构，生成并执行只读 SQL 查询。

Overview

Publishermateaix
Repositorymateclaw
Skill namesql_query
Stars
1.1K
Forks
337
Bundled files
Instructions only
LicenseApache-2.0
Links
Skill sourceRepositoryHomepage
  • 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.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

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

Installation

Install the Sql Query 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/mateaix/mateclaw/tree/dev/mateclaw-server/src/main/resources/skills/sql_query
  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/mateaix/mateclaw.git /tmp/mateclaw
mkdir -p .claude/skills
cp -r /tmp/mateclaw/mateclaw-server/src/main/resources/skills/sql_query .claude/skills/sql_query
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Sql Query 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 Sql Query 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 Sql Query 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.

SQL 查询技能

当用户提出与数据查询相关的问题时，按照以下工作流程操作。

工作流程

第一步：发现数据源

调用 query_datasource(action='list_datasources') 查看所有可用的外部数据源。

  • 如果只有一个数据源，直接使用它
  • 如果有多个数据源，根据用户问题推断最相关的数据源；不确定时询问用户

第二步：发现表结构

调用 query_datasource(action='list_tables', datasourceId=<id>) 查看数据源中的表列表。

  • 根据表名和注释判断与用户问题相关的表
  • 不要一次查看所有表的结构，只查看相关的 2-3 张表

第三步：查看列详情

调用 query_datasource(action='describe_table', datasourceId=<id>, tableName='<表名>') 查看列名、类型和注释。

  • 记住列名和类型，生成 SQL 时必须使用正确的列名

第四步：生成 SQL

根据表结构和用户问题，生成 SELECT SQL。遵循以下规则：

SQL 生成规则：

  1. 仅生成 SELECT 语句，绝不生成 INSERT/UPDATE/DELETE/DROP 等写操作
  2. 多表查询时，所有字段必须用表别名限定（如 t1.name）
  3. 聚合查询使用 COUNT/SUM/AVG/MAX/MIN 等函数
  4. 时间过滤使用数据库对应的日期函数
  5. 字符串匹配使用 LIKE 并注意大小写
  6. 结果默认按合理的顺序排序（如时间倒序）
  7. 系统会自动注入 LIMIT 500，无需手动添加（除非用户指定了数量）

不同数据库的注意事项：

  • MySQL：日期用 DATE_FORMAT()、NOW()，字符串连接用 CONCAT()
  • PostgreSQL：日期用 TO_CHAR()、NOW()，字符串连接用 ||
  • ClickHouse：日期用 toDate()、today()，注意不支持部分标准 SQL 语法

第五步：执行查询

调用 execute_sql(datasourceId=<id>, sql='<SQL>') 执行查询。

第六步：解读结果

  • 用自然语言总结查询结果的要点
  • 如果结果为空，分析可能的原因（表名/列名/条件有误等）
  • 如果需要，可以调整 SQL 重新查询
  • 如果查询结果包含数值列，系统会自动生成 ECharts 图表，无需你手动生成图表代码
  • 重要：不要使用 write_file 工具生成 HTML 图表文件，系统已内置图表渲染能力

错误处理

如果 SQL 执行失败：

  1. 仔细阅读错误信息
  2. 常见原因：列名拼写错误、类型不匹配、语法错误
  3. 根据错误修正 SQL 并重试一次
  4. 如果仍然失败，向用户说明错误原因

安全须知

  • 本工具仅支持只读查询（SELECT），写操作会被系统拒绝
  • 查询结果默认限制为 500 行
  • 查询超时为 30 秒
  • 如果用户要求执行写操作，应礼貌拒绝并说明这是安全限制

Frequently asked questions

What does the Sql Query AI skill do?

当用户提出数据查询需求（如'查数'、'查一下订单量'、'有多少用户'、'帮我跑个SQL'等），使用数据源工具发现表结构，生成并执行只读 SQL 查询。

Why use Sql Query on TypingMind?

Because you install it once and use it with any model. Sql Query 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 Sql Query in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/mateaix/mateclaw/tree/dev/mateclaw-server/src/main/resources/skills/sql_query. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Sql Query?

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 Sql Query?

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

Is the Sql Query AI skill free?

Yes. It is published on GitHub by mateaix under the Apache-2.0 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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