研究检索external-servicegithub未标认证来源可访问clear审计未展示

backend-development（后端开发）

Agent Skill

backend-development 用于查找、检索和筛选相关信息，适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

196

周安装

GitHub Stars

公开资料未说明

下载量

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

许可证

MIT

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：backend-development（后端开发）
来源仓库：https://github.com/dmdorta1111/jac-v1
仓库路径：skills/backend-development
安装命令：
npx skills add dmdorta1111/jac-v1 --skill "backend-development"
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。

AgentSkills.tonpx skills

npx skills add dmdorta1111/jac-v1 --skill "backend-development"

简介

发现并安装 AI 代理的后端开发技能，用于技能检索和筛选。

适用于 Codex、Claude、Cursor、Gemini CLI 中的后端开发场景。
可结合任务线索快速定位候选技能结果。backend-development 属于研究检索类 Skill，可作为该场景下的辅助能力补充。
通过 github 安装，需确认权限和维护状态。
可能触发联网或文件读写，注意操作边界。

SKILL.md

name: backend-development
description: Build robust backend systems with modern technologies (Node.js, Python, Go, Rust), frameworks (NestJS, FastAPI, Django), databases (PostgreSQL, MongoDB, Redis), APIs (REST, GraphQL, gRPC), authentication (OAuth 2.1, JWT), testing strategies, security best practices (OWASP Top 10), performance optimization, scalability patterns (microservices, caching, sharding), DevOps practices (Docker, Kubernetes, CI/CD), and monitoring. Use when designing APIs, implementing authentication, optimizing database queries, setting up CI/CD pipelines, handling security vulnerabilities, building microservices, or developing production-ready backend systems.
license: MIT
version: 1.0.0

Backend Development Skill

Production-ready backend development with modern technologies, best practices, and proven patterns.

When to Use

Designing RESTful, GraphQL, or gRPC APIs
Building authentication/authorization systems
Optimizing database queries and schemas
Implementing caching and performance optimization
OWASP Top 10 security mitigation
Designing scalable microservices
Testing strategies (unit, integration, E2E)
CI/CD pipelines and deployment
Monitoring and debugging production systems

Technology Selection Guide

Languages: Node.js/TypeScript (full-stack), Python (data/ML), Go (concurrency), Rust (performance) Frameworks: NestJS, FastAPI, Django, Express, Gin Databases: PostgreSQL (ACID), MongoDB (flexible schema), Redis (caching) APIs: REST (simple), GraphQL (flexible), gRPC (performance)

See: references/backend-technologies.md for detailed comparisons

Reference Navigation

Core Technologies:

backend-technologies.md - Languages, frameworks, databases, message queues, ORMs
backend-api-design.md - REST, GraphQL, gRPC patterns and best practices

Security & Authentication:

backend-security.md - OWASP Top 10 2025, security best practices, input validation
backend-authentication.md - OAuth 2.1, JWT, RBAC, MFA, session management

Performance & Architecture:

backend-performance.md - Caching, query optimization, load balancing, scaling
backend-architecture.md - Microservices, event-driven, CQRS, saga patterns

Quality & Operations:

backend-testing.md - Testing strategies, frameworks, tools, CI/CD testing
backend-code-quality.md - SOLID principles, design patterns, clean code
backend-devops.md - Docker, Kubernetes, deployment strategies, monitoring
backend-debugging.md - Debugging strategies, profiling, logging, production debugging
backend-mindset.md - Problem-solving, architectural thinking, collaboration

Key Best Practices (2025)

Security: Argon2id passwords, parameterized queries (98% SQL injection reduction), OAuth 2.1 + PKCE, rate limiting, security headers

Performance: Redis caching (90% DB load reduction), database indexing (30% I/O reduction), CDN (50%+ latency cut), connection pooling

Testing: 70-20-10 pyramid (unit-integration-E2E), Vitest 50% faster than Jest, contract testing for microservices, 83% migrations fail without tests

DevOps: Blue-green/canary deployments, feature flags (90% fewer failures), Kubernetes 84% adoption, Prometheus/Grafana monitoring, OpenTelemetry tracing

Quick Decision Matrix

Need	Choose
Fast development	Node.js + NestJS
Data/ML integration	Python + FastAPI
High concurrency	Go + Gin
Max performance	Rust + Axum
ACID transactions	PostgreSQL
Flexible schema	MongoDB
Caching	Redis
Internal services	gRPC
Public APIs	GraphQL/REST
Real-time events	Kafka

Implementation Checklist

API: Choose style → Design schema → Validate input → Add auth → Rate limiting → Documentation → Error handling

Database: Choose DB → Design schema → Create indexes → Connection pooling → Migration strategy → Backup/restore → Test performance

Security: OWASP Top 10 → Parameterized queries → OAuth 2.1 + JWT → Security headers → Rate limiting → Input validation → Argon2id passwords

Testing: Unit 70% → Integration 20% → E2E 10% → Load tests → Migration tests → Contract tests (microservices)

Deployment: Docker → CI/CD → Blue-green/canary → Feature flags → Monitoring → Logging → Health checks

Resources

OWASP Top 10: https://owasp.org/www-project-top-ten/
OAuth 2.1: https://oauth.net/2.1/
OpenTelemetry: https://opentelemetry.io/

适合场景

用户想查找某类 Agent Skill 时

需要根据任务场景推荐可安装能力包时

需要对比不同来源的安装命令和来源信息时

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

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

mcpjam

29.01%

按下载量换算18

Claude Code

23.18%

按下载量换算15

windsurf

16.45%

按下载量换算10

zencoder

13.36%

按下载量换算8

crush

8.15%

按下载量换算5

cline

3.33%

按下载量换算2

安全审计

暂无安全审计结果可展示。

权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API，使用前需要确认账号、额度、数据发送范围和服务条款。

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

GitHub 仓库

github.com

/dmdorta1111/jac-v1

SKILL.md 来源

github.com

/dmdorta1111/jac-v1/tree/main/skills/backend-development

agentskills-to

agentskills.to

/dmdorta1111/jac-v1/backend-development

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