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keboola-configurationkeboola 配置

Agent Skill

keboola-configuration 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

15,900

周安装

743

GitHub Stars

10

下载量

4,570
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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:keboola-configuration(keboola 配置)
来源仓库:https://github.com/keboola/ai-kit
仓库路径:skills/keboola-configuration
安装命令:
npx skills add https://github.com/keboola/ai-kit --skill 'Keboola Configuration'
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/keboola/ai-kit --skill 'Keboola Configuration'

简介

keboola-configuration 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 核验具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • 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。

SKILL.md

Keboola Configuration Knowledge

Provide expertise on Keboola project structure, configuration formats, and best practices for managing data pipelines.

Project Structure

A Keboola project pulled locally has this structure:

project-root/
├── .keboola/
│   └── manifest.json       # Project metadata and branch info
├── .env.local              # API token (never commit)
├── .env.dist               # Template for .env.local
├── .gitignore
└── [branch-name]/          # One directory per branch
    └── [component-id]/     # e.g., keboola.snowflake-transformation
        └── [config-name]/  # Configuration directory
            ├── config.json # Main configuration
            ├── meta.json   # Metadata (name, description)
            └── rows/       # Configuration rows (if applicable)

Configuration Files

manifest.json

Located in .keboola/manifest.json, contains:

  • Project ID and API host
  • Branch information
  • Sorting and naming conventions

config.json

The main configuration file for each component. Structure varies by component type but typically includes:

  • parameters - Component-specific settings
  • storage - Input/output table mappings
  • processors - Pre/post processing steps

meta.json

Metadata about the configuration:

{
  "name": "Configuration Name",
  "description": "What this configuration does",
  "isDisabled": false
}

Component Types

Transformations

SQL or Python/R transformations for data processing.

Snowflake Transformation (keboola.snowflake-transformation):

{
  "parameters": {
    "blocks": [
      {
        "name": "Block Name",
        "codes": [
          {
            "name": "Script Name",
            "script": ["SELECT * FROM table"]
          }
        ]
      }
    ]
  },
  "storage": {
    "input": {
      "tables": [
        {
          "source": "in.c-bucket.table",
          "destination": "table"
        }
      ]
    },
    "output": {
      "tables": [
        {
          "source": "output_table",
          "destination": "out.c-bucket.result"
        }
      ]
    }
  }
}

Extractors

Components that pull data from external sources (databases, APIs, files).

Common extractors:

  • keboola.ex-db-snowflake - Snowflake extractor
  • keboola.ex-google-analytics-v4 - Google Analytics
  • keboola.ex-generic-v2 - Generic HTTP API extractor

Writers

Components that push data to external destinations.

Common writers:

  • keboola.wr-db-snowflake - Snowflake writer
  • keboola.wr-google-sheets - Google Sheets writer

Orchestrations

Workflow definitions that run multiple configurations in sequence.

Located in keboola.orchestrator/ with:

  • Task definitions
  • Dependencies
  • Scheduling

Best Practices

When Editing Configurations

  1. Always run kbc diff before and after changes
  2. Validate JSON syntax before pushing
  3. Use kbc validate to check configuration validity
  4. Keep descriptions updated in meta.json

Storage Mappings

  • Input tables: Map source tables to working names
  • Output tables: Map result tables to destination buckets
  • Use consistent naming conventions

Transformations

  • Break complex logic into multiple blocks
  • Use meaningful names for blocks and scripts
  • Document SQL with comments
  • Test locally when possible

Common Tasks

Add a New Input Table to Transformation

In config.json, add to storage.input.tables:

{
  "source": "in.c-bucket.new_table",
  "destination": "new_table",
  "columns": []  // Empty = all columns
}

Add Output Table

In config.json, add to storage.output.tables:

{
  "source": "result_table",
  "destination": "out.c-bucket.result",
  "primary_key": ["id"]
}

Modify SQL Script

Edit the script array in the relevant block/code section. Each array element is a SQL statement.

Troubleshooting

Invalid Configuration

  • Check JSON syntax (missing commas, brackets)
  • Verify table names exist in storage
  • Check column names in mappings

Push Conflicts

  • Pull latest changes first
  • Merge conflicts manually in config files
  • Push again after resolution

Missing Tables

  • Ensure input tables exist in Keboola Storage
  • Check bucket permissions
  • Verify table names match exactly (case-sensitive)

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

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

37.45%
按下载量换算1,711

Claude

27.6%
按下载量换算1,261

Cursor

16.49%
按下载量换算754

Gemini CLI

9.36%
按下载量换算428

安全审计

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通过

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权限和风险

敏感数据

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安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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