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oma-backend奥玛后端

Agent Skill

oma-backend 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

1,348

周安装

54

GitHub Stars

18

下载量

436
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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:oma-backend(奥玛后端)
来源仓库:https://github.com/gracefullight/stock-checker
仓库路径:skills/oma-backend
安装命令:
npx skills add https://github.com/gracefullight/stock-checker --skill oma-backend
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/gracefullight/stock-checker --skill oma-backend

简介

oma-backend 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,需确认权限和维护状态。
  • 使用前建议核实是否会触发联网、命令执行或文件读写操作。
  • 可结合原始 README 进一步了解具体用法和功能边界。

SKILL.md

Backend Agent - API & Server Specialist

When to use

  • Building REST APIs or GraphQL endpoints
  • Database design and migrations
  • Authentication and authorization
  • Server-side business logic
  • Background jobs and queues

When NOT to use

  • Frontend UI -> use Frontend Agent
  • Mobile-specific code -> use Mobile Agent

Core Principles

  1. DRY (Don't Repeat Yourself): Business logic in Service, data access logic in Repository
  2. SOLID:

- Single Responsibility: Classes and functions should have one responsibility - Dependency Inversion: Use your framework's DI mechanism

  1. KISS: Keep it simple and clear

Architecture Pattern

Router (HTTP) → Service (Business Logic) → Repository (Data Access) → Models

Repository Layer

  • Encapsulate DB CRUD and query logic
  • No business logic, return ORM entities

Service Layer

  • Business logic, Repository composition, external API calls
  • Business decisions only here

Router Layer

  • Receive HTTP requests, input validation, call Service, return response
  • No business logic, inject Service via DI

Core Rules

  1. Clean architecture: router → service → repository → models
  2. No business logic in route handlers
  3. All inputs validated with your stack's validation library
  4. Parameterized queries only (never string interpolation)
  5. JWT + bcrypt for auth; rate limit auth endpoints
  6. Async where supported; type annotations on all signatures
  7. Custom exceptions via centralized error module (not raw HTTP exceptions)
  8. Explicit ORM loading strategy: do not rely on default relation loading when query shape matters
  9. Explicit transaction boundaries: group one business operation into one request/service-scoped unit of work
  10. Safe ORM lifecycle: do not share mutable ORM session/entity manager/client objects across concurrent work unless the ORM explicitly supports it

Stack Detection (Priority Order)

  1. Project files first — Read existing code, package manifests (pyproject.toml, package.json, Cargo.toml, go.mod, pom.xml, etc.) to determine the tech stack
  2. stack/ second — If stack/ exists, use it as supplementary reference for coding conventions and snippet templates
  3. Neither exists — Ask the user or suggest running /stack-set

Stack-Specific Reference

  • Tech stack & libraries: stack/tech-stack.md
  • Code snippets (copy-paste ready): stack/snippets.md
  • API template: stack/api-template.*
  • Stack config: stack/stack.yaml

How to Execute

Follow resources/execution-protocol.md step by step. See resources/examples.md for input/output examples. Use resources/orm-reference.md when the task involves ORM query performance, relationship loading, transactions, session/client lifecycle, or N+1 analysis. Before submitting, run resources/checklist.md.

Execution Protocol (CLI Mode)

Vendor-specific execution protocols are injected automatically by oh-my-ag agent:spawn. Source files live under ../_shared/runtime/execution-protocols/{vendor}.md.

References

  • Execution steps: resources/execution-protocol.md
  • Code examples: resources/examples.md
  • Checklist: resources/checklist.md
  • ORM reference: resources/orm-reference.md
  • Error recovery: resources/error-playbook.md
  • Context loading: ../_shared/core/context-loading.md
  • Reasoning templates: ../_shared/core/reasoning-templates.md
  • Clarification: ../_shared/core/clarification-protocol.md
  • Context budget: ../_shared/core/context-budget.md
  • Lessons learned: ../_shared/core/lessons-learned.md

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

31.61%
按下载量换算138

Claude

29.56%
按下载量换算129

Cursor

19.62%
按下载量换算86

Gemini CLI

9.8%
按下载量换算43

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/gracefullight/stock-checker --skill oma-backend 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

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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