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full-stack-orchestration-full-stack-feature全栈编排 全栈功能

Agent Skill

full-stack-orchestration-full-stack-feature 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

699

周安装

28

GitHub Stars

693

下载量

226
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

3

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:full-stack-orchestration-full-stack-feature(全栈编排 全栈功能)
来源仓库:https://github.com/rmyndharis/antigravity-skills
仓库路径:skills/full-stack-orchestration-full-stack-feature
安装命令:
npx skills add https://github.com/rmyndharis/antigravity-skills --skill full-stack-orchestration-full-stack-feature
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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/rmyndharis/antigravity-skills --skill full-stack-orchestration-full-stack-feature

简介

full-stack-orchestration-full-stack-feature 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 中整理仓库状态和协作事项。

  • 适用于需要跟踪项目进度或管理协作流程的场景。
  • 通过安装命令从指定仓库添加技能,可结合原始 README 核验用法。
  • 安装前建议确认权限范围和维护状态,避免触发不必要的数据操作。
  • 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

Use this skill when

  • Working on full stack orchestration full stack feature tasks or workflows
  • Needing guidance, best practices, or checklists for full stack orchestration full stack feature

Do not use this skill when

  • The task is unrelated to full stack orchestration full stack feature
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/implementation-playbook.md.

Orchestrate full-stack feature development across backend, frontend, and infrastructure layers with modern API-first approach:

[Extended thinking: This workflow coordinates multiple specialized agents to deliver a complete full-stack feature from architecture through deployment. It follows API-first development principles, ensuring contract-driven development where the API specification drives both backend implementation and frontend consumption. Each phase builds upon previous outputs, creating a cohesive system with proper separation of concerns, comprehensive testing, and production-ready deployment. The workflow emphasizes modern practices like component-driven UI development, feature flags, observability, and progressive rollout strategies.]

Phase 1: Architecture & Design Foundation

1. Database Architecture Design

  • Use Task tool with subagent_type="database-design::database-architect"
  • Prompt: "Design database schema and data models for: $ARGUMENTS. Consider scalability, query patterns, indexing strategy, and data consistency requirements. Include migration strategy if modifying existing schema. Provide both logical and physical data models."
  • Expected output: Entity relationship diagrams, table schemas, indexing strategy, migration scripts, data access patterns
  • Context: Initial requirements and business domain model

2. Backend Service Architecture

  • Use Task tool with subagent_type="backend-development::backend-architect"
  • Prompt: "Design backend service architecture for: $ARGUMENTS. Using the database design from previous step, create service boundaries, define API contracts (OpenAPI/GraphQL), design authentication/authorization strategy, and specify inter-service communication patterns. Include resilience patterns (circuit breakers, retries) and caching strategy."
  • Expected output: Service architecture diagram, OpenAPI specifications, authentication flows, caching architecture, message queue design (if applicable)
  • Context: Database schema from step 1, non-functional requirements

3. Frontend Component Architecture

  • Use Task tool with subagent_type="frontend-mobile-development::frontend-developer"
  • Prompt: "Design frontend architecture and component structure for: $ARGUMENTS. Based on the API contracts from previous step, design component hierarchy, state management approach (Redux/Zustand/Context), routing structure, and data fetching patterns. Include accessibility requirements and responsive design strategy. Plan for Storybook component documentation."
  • Expected output: Component tree diagram, state management design, routing configuration, design system integration plan, accessibility checklist
  • Context: API specifications from step 2, UI/UX requirements

Phase 2: Parallel Implementation

4. Backend Service Implementation

  • Use Task tool with subagent_type="python-development::python-pro" (or "golang-pro"/"nodejs-expert" based on stack)
  • Prompt: "Implement backend services for: $ARGUMENTS. Using the architecture and API specs from Phase 1, build RESTful/GraphQL endpoints with proper validation, error handling, and logging. Implement business logic, data access layer, authentication middleware, and integration with external services. Include observability (structured logging, metrics, tracing)."
  • Expected output: Backend service code, API endpoints, middleware, background jobs, unit tests, integration tests
  • Context: Architecture designs from Phase 1, database schema

5. Frontend Implementation

  • Use Task tool with subagent_type="frontend-mobile-development::frontend-developer"
  • Prompt: "Implement frontend application for: $ARGUMENTS. Build React/Next.js components using the component architecture from Phase 1. Implement state management, API integration with proper error handling and loading states, form validation, and responsive layouts. Create Storybook stories for components. Ensure accessibility (WCAG 2.1 AA compliance)."
  • Expected output: React components, state management implementation, API client code, Storybook stories, responsive styles, accessibility implementations
  • Context: Component architecture from step 3, API contracts

6. Database Implementation & Optimization

  • Use Task tool with subagent_type="database-design::sql-pro"
  • Prompt: "Implement and optimize database layer for: $ARGUMENTS. Create migration scripts, stored procedures (if needed), optimize queries identified by backend implementation, set up proper indexes, and implement data validation constraints. Include database-level security measures and backup strategies."
  • Expected output: Migration scripts, optimized queries, stored procedures, index definitions, database security configuration
  • Context: Database design from step 1, query patterns from backend implementation

Phase 3: Integration & Testing

7. API Contract Testing

  • Use Task tool with subagent_type="test-automator"
  • Prompt: "Create contract tests for: $ARGUMENTS. Implement Pact/Dredd tests to validate API contracts between backend and frontend. Create integration tests for all API endpoints, test authentication flows, validate error responses, and ensure proper CORS configuration. Include load testing scenarios."
  • Expected output: Contract test suites, integration tests, load test scenarios, API documentation validation
  • Context: API implementations from Phase 2

8. End-to-End Testing

  • Use Task tool with subagent_type="test-automator"
  • Prompt: "Implement E2E tests for: $ARGUMENTS. Create Playwright/Cypress tests covering critical user journeys, cross-browser compatibility, mobile responsiveness, and error scenarios. Test feature flags integration, analytics tracking, and performance metrics. Include visual regression tests."
  • Expected output: E2E test suites, visual regression baselines, performance benchmarks, test reports
  • Context: Frontend and backend implementations from Phase 2

9. Security Audit & Hardening

  • Use Task tool with subagent_type="security-auditor"
  • Prompt: "Perform security audit for: $ARGUMENTS. Review API security (authentication, authorization, rate limiting), check for OWASP Top 10 vulnerabilities, audit frontend for XSS/CSRF risks, validate input sanitization, and review secrets management. Provide penetration testing results and remediation steps."
  • Expected output: Security audit report, vulnerability assessment, remediation recommendations, security headers configuration
  • Context: All implementations from Phase 2

Phase 4: Deployment & Operations

10. Infrastructure & CI/CD Setup

  • Use Task tool with subagent_type="deployment-engineer"
  • Prompt: "Setup deployment infrastructure for: $ARGUMENTS. Create Docker containers, Kubernetes manifests (or cloud-specific configs), implement CI/CD pipelines with automated testing gates, setup feature flags (LaunchDarkly/Unleash), and configure monitoring/alerting. Include blue-green deployment strategy and rollback procedures."
  • Expected output: Dockerfiles, K8s manifests, CI/CD pipeline configs, feature flag setup, IaC templates (Terraform/CloudFormation)
  • Context: All implementations and tests from previous phases

11. Observability & Monitoring

  • Use Task tool with subagent_type="deployment-engineer"
  • Prompt: "Implement observability stack for: $ARGUMENTS. Setup distributed tracing (OpenTelemetry), configure application metrics (Prometheus/DataDog), implement centralized logging (ELK/Splunk), create dashboards for key metrics, and define SLIs/SLOs. Include alerting rules and on-call procedures."
  • Expected output: Observability configuration, dashboard definitions, alert rules, runbooks, SLI/SLO definitions
  • Context: Infrastructure setup from step 10

12. Performance Optimization

  • Use Task tool with subagent_type="performance-engineer"
  • Prompt: "Optimize performance across stack for: $ARGUMENTS. Analyze and optimize database queries, implement caching strategies (Redis/CDN), optimize frontend bundle size and loading performance, setup lazy loading and code splitting, and tune backend service performance. Include before/after metrics."
  • Expected output: Performance improvements, caching configuration, CDN setup, optimized bundles, performance metrics report
  • Context: Monitoring data from step 11, load test results

Configuration Options

  • stack: Specify technology stack (e.g., "React/FastAPI/PostgreSQL", "Next.js/Django/MongoDB")
  • deployment_target: Cloud platform (AWS/GCP/Azure) or on-premises
  • feature_flags: Enable/disable feature flag integration
  • api_style: REST or GraphQL
  • testing_depth: Comprehensive or essential
  • compliance: Specific compliance requirements (GDPR, HIPAA, SOC2)

Success Criteria

  • All API contracts validated through contract tests
  • Frontend and backend integration tests passing
  • E2E tests covering critical user journeys
  • Security audit passed with no critical vulnerabilities
  • Performance metrics meeting defined SLOs
  • Observability stack capturing all key metrics
  • Feature flags configured for progressive rollout
  • Documentation complete for all components
  • CI/CD pipeline with automated quality gates
  • Zero-downtime deployment capability verified

Coordination Notes

  • Each phase builds upon outputs from previous phases
  • Parallel tasks in Phase 2 can run simultaneously but must converge for Phase 3
  • Maintain traceability between requirements and implementations
  • Use correlation IDs across all services for distributed tracing
  • Document all architectural decisions in ADRs
  • Ensure consistent error handling and API responses across services

Feature to implement: $ARGUMENTS

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

04

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

能力 5

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

32.39%
按下载量换算73

windsurf

21.81%
按下载量换算49

trae

16.65%
按下载量换算38

Claude Code

12.34%
按下载量换算28

Antigravity

8.35%
按下载量换算19

qoder

3.62%
按下载量换算8

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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。

来源信息

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