schemachange — community schemachange, snowflake-dbt-demo, community, ide skills

v1.0.0
GitHub

このスキルについて

Snowflakeデータベースの高度な変更管理機能を必要とするデータベース管理エージェントに最適です。 schemachange helps developers manage Snowflake database changes using version control and CI/CD pipelines. It supports dbt features for efficient database management.

sfc-gh-dflippo sfc-gh-dflippo
[30]
[8]
Updated: 3/9/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 7/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
7/11
Quality Score
41
Canonical Locale
en
Detected Body Locale
en

Snowflakeデータベースの高度な変更管理機能を必要とするデータベース管理エージェントに最適です。 schemachange helps developers manage Snowflake database changes using version control and CI/CD pipelines. It supports dbt features for efficient database management.

このスキルを使用する理由

エージェントがSnowflakeデータベースの変更を管理できるようにし、バージョン管理とCI/CDパイプラインを使用し、dbt機能をサポートして効率的なデータベース管理を実現し、Versioned、Repeatable、Alwaysなどのスクリプトタイプを使用した移行ベースのアプローチを提供します。

おすすめ

Snowflakeデータベースの高度な変更管理機能を必要とするデータベース管理エージェントに最適です。

↓ 実現可能なユースケース for schemachange

バージョン管理とCI/CDパイプラインを使用してSnowflakeデータベースの変更をデプロイして管理する
Versionedスクリプトを使用して一時的な構造変更のために移行スクリプトを生成する
Alwaysスクリプトを使用して毎回デプロイ時に実行されるべき等スクリプトを作成する

! セキュリティと制限

  • Snowflakeデータベース接続が必要
  • データベース管理にはdbt機能のみが使用可能
  • 自動化デプロイにはCI/CDパイプラインの設定が必要

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is schemachange?

Snowflakeデータベースの高度な変更管理機能を必要とするデータベース管理エージェントに最適です。 schemachange helps developers manage Snowflake database changes using version control and CI/CD pipelines. It supports dbt features for efficient database management.

How do I install schemachange?

Run the command: npx killer-skills add sfc-gh-dflippo/snowflake-dbt-demo/schemachange. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for schemachange?

Key use cases include: バージョン管理とCI/CDパイプラインを使用してSnowflakeデータベースの変更をデプロイして管理する, Versionedスクリプトを使用して一時的な構造変更のために移行スクリプトを生成する, Alwaysスクリプトを使用して毎回デプロイ時に実行されるべき等スクリプトを作成する.

Which IDEs are compatible with schemachange?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for schemachange?

Snowflakeデータベース接続が必要. データベース管理にはdbt機能のみが使用可能. 自動化デプロイにはCI/CDパイプラインの設定が必要.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add sfc-gh-dflippo/snowflake-dbt-demo/schemachange. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use schemachange immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

schemachange

Install schemachange, an AI agent skill for AI agent workflows and automation. Review the use cases, limitations, and setup path before rollout.

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

Schemachange

Deploy and manage Snowflake database changes using version control and CI/CD pipelines with schemachange's migration-based approach.

Quick Start

Script Types:

  • V__ (Versioned) - One-time structural changes (run exactly once)
  • R__ (Repeatable) - Objects that can be safely recreated (runs when new/modified)
  • A__ (Always) - Scripts that run every deployment (must be idempotent)

Script Naming

Versioned Scripts (V__)

sql
1V1.0.0__initial_setup.sql
2V1.1.0__create_base_tables.sql
3V2.0.0__restructure_schema.sql

Use for: CREATE TABLE, ALTER TABLE, CREATE SCHEMA

Repeatable Scripts (R__)

sql
1R__Stage_01_create_views.sql
2R__Stage_02_alter_procedures.sql
3R__Stage_03_utility_functions.sql

Use for: CREATE OR ALTER VIEW, CREATE OR ALTER PROCEDURE, CREATE OR REPLACE STREAM

Always Scripts (A__)

sql
1A__refresh_permissions.sql
2A__update_config_values.sql

Use for: Jobs that must run every deployment (idempotent only)

Key Concepts

Execution Order

  1. Versioned scripts (V__) in numeric order
  2. Repeatable scripts (R__) in alphabetic order (use naming to control)
  3. Always scripts (A__) in alphabetic order

CREATE OR ALTER vs CREATE OR REPLACE

  • CREATE OR ALTER - Preserves data, tags, policies, grants (preferred)
  • CREATE OR REPLACE - Drops and recreates (loses metadata)

See CREATE_OR_ALTER_REFERENCE.md for supported objects.

Configuration

yaml
1# schemachange-config.yml
2root-folder: migrations
3create-change-history-table: true
4connection-name: default
5change-history-table: MY_DB.SCHEMACHANGE.CHANGE_HISTORY

Deployment

bash
1# Dry run
2schemachange deploy --config-folder . --dry-run
3
4# Deploy
5schemachange deploy --config-folder .
6
7# With variables
8schemachange deploy --vars '{"env":"prod","schema":"data"}'

Resources

  • schemachange-config.yml - Complete configuration template
  • SCRIPT_PATTERNS.md - Examples for V**, R**, A__ scripts (coming soon)
  • CREATE_OR_ALTER_REFERENCE.md - Supported object types (coming soon)
  • CI_CD_EXAMPLES.md - GitHub Actions and Azure DevOps patterns (coming soon)

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