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steedos-seed-dataSteedos 种子数据

Agent Skill

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

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CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:steedos-seed-data(Steedos 种子数据)
来源仓库:https://github.com/steedos/steedos-platform
仓库路径:skills/steedos-seed-data
安装命令:
npx skills add https://github.com/steedos/steedos-platform --skill steedos-seed-data
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/steedos/steedos-platform --skill steedos-seed-data

简介

用于辅助数据整理、表格处理和指标计算。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

  • 适合清洗字段、汇总数据或生成统计口径。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装使用。
  • 需确认数据来源和时间范围,避免将样本当作全量事实。
  • steedos-seed-data 属于开发类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Steedos Seed Data | Steedos 初始化数据

Overview | 概述

Seed data files provide initial records that are automatically imported when the service starts or a workspace initializes. They are placed in main/default/data/ and support JSON, YAML, and CSV formats.

初始化数据文件提供服务启动或工作区初始化时自动导入的初始记录,放在 main/default/data/ 目录下,支持 JSON、YAML、CSV 格式。

File Location | 文件位置

steedos-packages/
└── my-package/
    └── main/default/
        └── data/
            ├── products.data.json
            ├── categories.data.yml
            └── regions.data.csv

Naming Convention | 命名规则

{objectName}.data.json
{objectName}.data.yml
{objectName}.data.csv

The file name before the first . is the object API name (i.e. the MongoDB collection name).

文件名第一个 . 之前的部分是对象 API 名称(即 MongoDB collection 名称)。

File Structure | 文件结构

JSON Format | JSON 格式

[
  {
    "_id": "product_001",
    "name": "标准服务套餐",
    "price": 9800,
    "status": "active"
  },
  {
    "_id": "product_002",
    "name": "高级服务套餐",
    "price": 19800,
    "status": "active"
  }
]

YAML Format | YAML 格式

- _id: "product_001"
  name: "标准服务套餐"
  price: 9800
  status: "active"

- _id: "product_002"
  name: "高级服务套餐"
  price: 19800
  status: "active"

CSV Format | CSV 格式

_id,name,price,status
product_001,标准服务套餐,9800,active
product_002,高级服务套餐,19800,active

Required Fields | 必填字段

FieldDescription
_idUnique record identifier. Required for every record.

The following fields are auto-populated on import (do NOT include them manually):

Auto FieldDescription
spaceWorkspace ID
ownerWorkspace owner
createdCreation timestamp
created_byCreator
modifiedModification timestamp
modified_byModifier
company_idCompany ID
company_idsCompany IDs

Autonumber Fields | 自动编号字段

⚠️ CRITICAL: autonumber fields do NOT auto-generate values during seed data import. You MUST explicitly set values for autonumber fields in seed data files. ⚠️ 重要:autonumber 类型字段在初始化数据导入时不会自动生成编号,必须在数据文件中手动设置值。

Autonumber fields (e.g., order_number with formula ORD-{YYYY}{MM}{DD}-{0000}) only auto-generate when records are created through the UI or API. During seed data import, if you omit the autonumber field, it will be empty/null.

自动编号字段(如 order_number,公式 ORD-{YYYY}{MM}{DD}-{0000})仅在通过界面或 API 创建记录时自动生成。导入初始化数据时,如果不设置该字段,值将为空。

# ✅ CORRECT — explicitly set autonumber field values
- _id: "order_001"
  order_number: "ORD-20240101-0001"
  customer: "客户A"
  amount: 9800

- _id: "order_002"
  order_number: "ORD-20240101-0002"
  customer: "客户B"
  amount: 19800

# ❌ WRONG — omitting autonumber field, value will be null
- _id: "order_003"
  customer: "客户C"
  amount: 29800

Template Variables | 模板变量

Use template variables for workspace-dependent IDs:

VariableReplaced With
${space_id}Current workspace ID
${space_owner_id}Workspace owner user ID
- _id: "${space_id}_default_config"
  name: "default_config"
  space: "${space_id}"
  owner: "${space_owner_id}"
  setting_key: "theme"
  setting_value: "blue"

Date Format | 日期格式

⚠️ CRITICAL: date and datetime field values MUST be valid date formats. Do NOT use arbitrary strings, descriptive text, or non-date values. ⚠️ 重要:datedatetime 类型字段的值必须是合法的日期格式,严禁使用任意字符串或非日期值。

JSON Format — Use EJSON $date | JSON 格式 — 使用 EJSON $date

[
  {
    "_id": "record_001",
    "name": "示例记录",
    "start_date": { "$date": "2024-01-15T00:00:00.000Z" },
    "submitted_at": { "$date": "2024-03-20T08:30:00.000Z" }
  }
]

YAML Format — Use ISO Date Strings | YAML 格式 — 使用 ISO 日期字符串

In YAML, js-yaml automatically parses ISO date strings as Date objects:

- _id: "record_001"
  name: "示例记录"
  start_date: 2024-01-15              # date type — date only
  submitted_at: 2024-03-20T08:30:00Z  # datetime type — date and time

Valid Date Formats | 有效日期格式

Field TypeJSON FormatYAML FormatExample
date{"$date": "2024-01-15T00:00:00.000Z"}2024-01-15Date only
datetime{"$date": "2024-03-20T08:30:00.000Z"}2024-03-20T08:30:00ZDate and time

⚠️ INVALID examples (will cause errors):

# ❌ WRONG — arbitrary strings, not valid dates
start_date: "today"
start_date: "next week"
start_date: "2024年1月"
start_date: "TBD"
start_date: "Q1 2024"

# ❌ WRONG — template expressions (not supported for date fields)
start_date: "{now}"         # {now} only works as defaultValue in field definitions
submitted_at: "{today}"

# ✅ CORRECT
start_date: 2024-01-15
start_date: 2024-01-15T00:00:00Z
submitted_at: 2024-03-20T08:30:00Z

Import Behavior | 导入行为

Seed data is imported at two points:

TriggerModeBehavior
Service startuponlyInsertOnly imports if records do NOT already exist. If any record by _id is found, the entire import is skipped.
Space initializedupsertInserts new records, updates existing records (matched by _id).

On upsert, existing records preserve their original space, owner, created, created_by values; only modified and modified_by are updated.

Complete Example | 完整示例

steedos-packages/
└── my-package/
    └── main/default/
        ├── objects/
        │   └── products/
        │       ├── products.object.yml
        │       └── fields/
        │           └── ...
        └── data/
            └── products.data.yml
# main/default/data/products.data.yml
- _id: "${space_id}_prod_basic"
  name: "基础版"
  code: "BASIC"
  price: 9800
  is_active: true
  launch_date: 2024-01-01
  published_at: 2024-01-01T09:00:00Z

- _id: "${space_id}_prod_pro"
  name: "专业版"
  code: "PRO"
  price: 29800
  is_active: true
  launch_date: 2024-03-15
  published_at: 2024-03-15T09:00:00Z

- _id: "${space_id}_prod_enterprise"
  name: "企业版"
  code: "ENTERPRISE"
  price: 99800
  is_active: true
  launch_date: 2024-06-01
  published_at: 2024-06-01T09:00:00Z

Best Practices | 最佳实践

  1. Always include _id: Every record must have a unique _id. Use ${space_id} prefix for workspace-scoped data.
  2. Date fields MUST use valid date format: date fields use 2024-01-15 (YAML) or {"$date": "..."} (JSON). datetime fields use 2024-01-15T08:30:00Z (YAML) or {"$date": "..."} (JSON). Never use arbitrary strings.(日期字段必须使用合法日期格式,严禁使用任意字符串)
  3. Use YAML for readability: YAML is easier to maintain than JSON for seed data.
  4. Don't set auto fields: Do not include space, owner, created, created_by, modified, modified_by — they are auto-populated.
  5. Always set autonumber fields: Autonumber fields do NOT auto-generate during import. You must provide explicit values matching the field's formula pattern (e.g., ORD-20240101-0001).(自动编号字段在导入时不会自动生成,必须手动设置值)
  6. Idempotent IDs: Use deterministic _id values (not random) so repeated imports don't create duplicates.
  7. Match object API name: The filename must exactly match the object's API name (e.g., orders.data.yml for the orders object).
  8. Keep data minimal: Only include essential initial data (config, default options, system records). Don't use for large datasets.

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安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

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Cursor

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按下载量换算22

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按下载量换算10

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