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drizzle-databaseDrizzle 数据库

Agent Skill

用于辅助数据库表结构、查询语句、迁移脚本和数据维护任务。它适合让 Agent 分析 schema、编写 SQL、排查查询问题、整理索引或生成迁移建议。使用时需要明确数据库类型、连接环境和目标表,区分只读分析与写入变更;涉及删除、更新、迁移和批量导入时,应优先 dry-run、备份或事务保护,避免误操作。

总安装

1,493

周安装

61

GitHub Stars

3

下载量

483
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:drizzle-database(Drizzle 数据库)
来源仓库:https://github.com/blogic-cz/blogic-marketplace
仓库路径:skills/drizzle-database
安装命令:
npx skills add https://github.com/blogic-cz/blogic-marketplace --skill drizzle-database
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/blogic-cz/blogic-marketplace --skill drizzle-database

简介

drizzle-database 提供 Drizzle ORM 的类型安全模式实现与查询审查支持,确保 schema 与测试一致性。

  • 适用于 pgTable 定义、relations 声明与查询构建器组合,支持迁移与测试数据库种子填充。
  • 强调类型推导与关系建模准确性,避免通用 SQL 讨论触发非针对性建议,提升回答相关性。
  • 使用前需明确数据库类型与连接配置,区分只读查询与写入操作的风险边界。
  • 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

Drizzle Database Patterns

Use this skill to implement and review Drizzle ORM schema and query code with project-consistent typing, relation modeling, and migration/test verification.

When to Use This Skill

Use this skill when work explicitly involves Drizzle ORM primitives, for example:

  • pgTable(...) schema definitions
  • relation declarations with relations(...)
  • Drizzle select/query builder composition (db.select, db.query.*)
  • Drizzle migrations and schema evolution
  • typed test DB seeding for Drizzle-backed tests

Avoid triggering this skill for generic SQL/database discussions that are not tied to Drizzle implementation.

Canonical Workflow

Apply this sequence for every schema/query change:

  1. Inspect nearby schema helpers and existing Drizzle patterns in the target repository.
  2. Copy an established local pattern (types, naming, indexes, relation style) instead of inventing a new style.
  3. Implement the minimal schema/query change required.
  4. Verify generated/applied migration output is coherent with the change.
  5. Run related tests that exercise the changed table/query path.

Read full examples in:

  • references/schema-patterns.md
  • references/query-patterns.md
  • references/migrations-and-testing.md

Conventions and Rules

Always-rules

  1. Keep relation cardinality explicit (one vs many) and match FK fields to referenced IDs.
  2. Keep optional vs required joins explicit (leftJoin for optional, innerJoin for required).
  3. Verify migrations and tests after schema changes before considering the task complete.

Project conventions (apply unless local codebase uses another established pattern)

  1. Prefer branded/typed IDs on columns when the project uses them.
id: text("id").primaryKey().$type<UserId>();
  1. Prefer .$defaultFn(...) for generated IDs/timestamps when existing tables follow that style.
createdAt: timestamp("created_at")
  .$defaultFn(() => new Date())
  .notNull();
  1. Place indexes/compound constraints in the third pgTable argument when local schema files do so.
(table) => [
  index("sessions_user_id_idx").on(table.userId),
  unique().on(table.userId, table.organizationId),
];
  1. Pass full schema to drizzle(...) when the codebase relies on relational query helpers.

Query Strategy Guidance

Prefer a single composed query (joins/select projection) when it reduces round trips and keeps logic readable.

Use relation query helpers (db.query.<table>.findMany/findFirst with with) when they express the read clearly, keep types clean, and avoid unnecessary query complexity.

Escalate to custom join/aggregation queries when relation helpers cannot represent required filtering, projection, or aggregation efficiently.

Scope Boundaries

Focus this skill on Drizzle schema/query/migration implementation patterns.

Delegate broader database performance triage and production indexing strategy to process-db-report or performance-optimization when the task is primarily performance investigation.

Resources

Load detailed examples only when needed:

  • references/schema-patterns.md - Full table, relation, typing, and index examples
  • references/query-patterns.md - Full query, join, aggregation, and mutation examples
  • references/migrations-and-testing.md - Migration workflow and test/seed examples

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

39.05%
按下载量换算189

Claude

29.8%
按下载量换算144

Cursor

18.42%
按下载量换算89

Gemini CLI

10.5%
按下载量换算51

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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