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volcengine-rds-mysql AI Agent Skill

View Source: bytedance/agentkit-samples

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Installation

npx skills add bytedance/agentkit-samples --skill volcengine-rds-mysql

33

Installs

Skill 概览

本 Skill 用于在对话中充当 火山引擎 RDS MySQL 的智能运维代理:

  • 理解用户的自然语言需求(中文或英文),识别是否与 RDS MySQL 相关;
  • 直接调用内置脚本 scripts/call_rds_mysql.py 实时查询 RDS MySQL 并获取结果;
  • 当获取到结果或用户粘贴错误信息时,进一步解释、诊断并给出后续建议

工作模式:

  • 使用 scripts/call_rds_mysql.py 脚本直接获取 RDS MySQL 的实时响应

运行方式:
脚本支持两种运行方式:

# 方式 1: 使用 uv (推荐,自动管理依赖)
uv run ./scripts/call_rds_mysql.py [action] [options]

# 方式 2: 使用 python (需要预先安装依赖)
python ./scripts/call_rds_mysql.py [action] [options]

标准使用流程

  1. 确认任务类型与参数

    • 判断用户意图:查询实例列表、查看实例详情、管理数据库、管理账号、查看参数配置、创建实例等。
    • 收集必要参数(如未指定则使用默认值):
      • --region:地域 ID(默认 cn-beijing)
      • --action:操作类型(如 list-instancesdescribe-instancelist-databases 等)
      • --instance-id:实例 ID(部分操作必需)
  2. 构造查询并调用脚本

    • 示例(以下命令可使用 uv runpython 运行):
      # 查询实例列表
      uv run ./scripts/call_rds_mysql.py list-instances
      # 或
      python ./scripts/call_rds_mysql.py list-instances
      
      # 查询指定实例详情
      uv run ./scripts/call_rds_mysql.py describe-instance --instance-id mysql-xxx
      # 或
      python ./scripts/call_rds_mysql.py describe-instance --instance-id mysql-xxx
      
      # 查询实例的数据库列表
      uv run ./scripts/call_rds_mysql.py list-databases --instance-id mysql-xxx
      # 或
      python ./scripts/call_rds_mysql.py list-databases --instance-id mysql-xxx
      
      # 查询实例的账号列表
      uv run ./scripts/call_rds_mysql.py list-accounts --instance-id mysql-xxx
      # 或
      python ./scripts/call_rds_mysql.py list-accounts --instance-id mysql-xxx
      
      # 查询实例参数
      uv run ./scripts/call_rds_mysql.py list-parameters --instance-id mysql-xxx
      # 或
      python ./scripts/call_rds_mysql.py list-parameters --instance-id mysql-xxx
      
      # 查询 VPC 列表(用于创建实例)
      uv run ./scripts/call_rds_mysql.py list-vpcs
      # 或
      python ./scripts/call_rds_mysql.py list-vpcs
      
      # 查询子网列表
      uv run ./scripts/call_rds_mysql.py list-subnets --vpc-id vpc-xxx --zone-id cn-beijing-a
      # 或
      python ./scripts/call_rds_mysql.py list-subnets --vpc-id vpc-xxx --zone-id cn-beijing-a
  3. 解析结果并后续处理

    • 将 RDS MySQL 的响应用自然语言解释给用户;
    • 如返回包含敏感操作,评估风险并提醒:
      • 避免在生产环境直接执行高风险操作(如删除实例、删除数据库等);
      • 建议在测试环境验证或做好备份。

工具脚本使用说明

支持的操作(Actions)

操作 说明 必需参数
list-instances 查询 RDS MySQL 实例列表
describe-instance 查询指定实例详情 --instance-id
list-databases 查询实例的数据库列表 --instance-id
list-accounts 查询实例的账号列表 --instance-id
list-parameters 查询实例的参数配置 --instance-id
list-parameter-templates 查询参数模板列表
describe-parameter-template 查询参数模板详情 --template-id
list-vpcs 查询 VPC 列表
list-subnets 查询子网列表 --vpc-id
get-price 查询实例价格 多个配置参数

命令行参数

参数 说明 默认值
action 操作类型(必需) -
--region / -r 火山引擎地域 ID cn-beijing
--instance-id / -i 实例 ID
--page-number 分页页码 1
--page-size 每页记录数 10
--output / -o 输出格式(json/table) json

输出格式

脚本会将查询信息输出到 stderr,将结果输出到 stdout,便于分离日志和结果:

[操作] list-instances
[地域] cn-beijing
============================================================
[查询结果]
<实际结果内容>

常见使用场景

1. 查看所有实例

uv run ./scripts/call_rds_mysql.py list-instances

2. 查看实例详情

uv run ./scripts/call_rds_mysql.py describe-instance --instance-id mysql-xxx

3. 查看实例的数据库

uv run ./scripts/call_rds_mysql.py list-databases --instance-id mysql-xxx

4. 查看实例的账号

uv run ./scripts/call_rds_mysql.py list-accounts --instance-id mysql-xxx

5. 查看实例参数配置

uv run ./scripts/call_rds_mysql.py list-parameters --instance-id mysql-xxx

6. 创建实例前查询网络信息

# 先查询 VPC
uv run ./scripts/call_rds_mysql.py list-vpcs

# 再查询子网
uv run ./scripts/call_rds_mysql.py list-subnets --vpc-id vpc-xxx --zone-id cn-beijing-a

环境变量配置

  1. 获取火山引擎访问凭证:参考 用户指南 获取 AK/SK

  2. 配置以下环境变量:

export VOLCENGINE_ACCESS_KEY="your-access-key"
export VOLCENGINE_SECRET_KEY="your-secret-key"
export VOLCENGINE_REGION="cn-beijing"  # 可选,默认 cn-beijing

Installs

Installs 33
Global Rank #601 of 601

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How to use this skill

1

Install volcengine-rds-mysql by running npx skills add bytedance/agentkit-samples --skill volcengine-rds-mysql in your project directory. Run the install command above in your project directory. The skill file will be downloaded from GitHub and placed in your project.

2

No configuration needed. Your AI agent (Claude Code, Cursor, Windsurf, etc.) automatically detects installed skills and uses them as context when generating code.

3

The skill enhances your agent's understanding of volcengine-rds-mysql, helping it follow established patterns, avoid common mistakes, and produce production-ready output.

What you get

Skills are plain-text instruction files — not executable code. They encode expert knowledge about frameworks, languages, or tools that your AI agent reads to improve its output. This means zero runtime overhead, no dependency conflicts, and full transparency: you can read and review every instruction before installing.

Compatibility

This skill works with any AI coding agent that supports the skills.sh format, including Claude Code (Anthropic), Cursor, Windsurf, Cline, Aider, and other tools that read project-level context files. Skills are framework-agnostic at the transport level — the content inside determines which language or framework it applies to.

Data sourced from the skills.sh registry and GitHub. Install counts and security audits are updated regularly.

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