Cline - 中文版 Docs
  • Cline Documentation
  • 入门指南
    • 快速开始
    • What is Cline?
  • Basics
    • Cline - 中文版胜算 说明文档
      • Cline 和模型上下文协议 (MCP) 服务器:提升 AI 能力
      • Interactive blocks
        • OpenAPI
      • Integrations
        • Cloud Provider Integration
        • Security Concerns
      • .clineignore 功能支持
  • Cline - 中文版胜算 说明文档
    • 什么是Cline - 胜算云增强版
    • 对于新程序员
    • 安装 Cline-胜算云增强版
    • 安装 Dev Essentials
    • 我们最喜欢的技术栈
    • 上下文管理
    • 型号选择指南
  • Getting Started
    • What is Cline?
    • For New Coders
    • Installing Cline
    • Installing Dev Essentials
    • Our Favorite Tech Stack
    • Context Management
    • Model Selection Guide
  • 提高提示技巧
    • 提示工程指南
    • Cline-胜算云增强版 内存库
  • Improving Your Prompting Skills
    • Prompt Engineering Guide
    • Cline Memory Bank
  • 探索 Cline 的工具
    • Cline-胜算云增强版 工具指南
  • 检查站
  • 计划与行动模式:有效人工智能发展指南
  • 新建任务工具
  • Remote Browser 支持
  • Exploring Cline's Tools
    • Cline Tools Guide
    • Checkpoints
    • Plan & Act Modes: A Guide to Effective AI Development
    • New Task Tool
  • Remote Browser Support
  • 企业解决方案
    • 安全问题
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  • MCP 服务器
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  • Security Concerns
    • Security Concerns
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  • MCP Servers
  • Custom Instructions
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  • 从 GitHub 添加 MCP 服务器
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  • Connecting to a Remote Server
  • MCP Transport Mechanisms
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  • 自定义模型配置
    • 带有凭证身份验证的 AWS Bedrock
    • 带配置文件身份验证的 AWS Bedrock
    • GCP Vertex AI
  • LiteLLM 和 Cline-胜算云增强版(使用 Codestral)
  • Custom Model Configs
    • AWS Bedrock w/ Credentials Authentication
  • AWS Bedrock w/ Profile Authentication
  • GCP Vertex AI
  • LiteLLM & Cline (using Codestral)
  • 本地运行模型
    • 请先阅读
    • Ollama
    • LM 工作室
  • Ollama
  • LM Studio
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  • More Info
    • Telemetry
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Custom Instructions

Building Custom Instructions for Teams

Creating standardized project instructions ensures that all team members work within consistent guidelines. Start by documenting your project's technical foundation, then identify which information needs to be included in the instructions. The exact scope will vary depending on your team's needs, but generally it's best to provide as much information as possible. By creating comprehensive instructions that all team members follow, you establish a shared understanding of how code should be written, tested, and deployed across your project, resulting in more maintainable and consistent software.


Here are a few topics and examples to consider for your team's custom instructions:

  1. Testing framework and specific commands

    • "All components must include Jest tests with at least 85% coverage. Run tests using npm run test:coverage before submitting any pull request."

  2. Explicit library preferences

    • "Use React Query for data fetching and state management. Avoid Redux unless specifically required for complex global state. For styling, use Tailwind CSS with our custom theme configuration found in src/styles/theme.js."

  3. Where to find documentation

    • "All API documentation is available in our internal Notion workspace under 'Engineering > API Reference'. For component usage examples, refer to our Storybook instance at https://storybook.internal.company.com"

  4. Which MCP servers to use, and for which purposes

    • "For database operations, use the Postgres MCP server with credentials stored in 1Password under 'Development > Database'. For deployments, use the AWS MCP server which requires the deployment role from IAM. Refer to docs/mcp-setup.md for configuration instructions."

  5. Coding conventions specific to your project

    • "Name all React components using PascalCase and all helper functions using camelCase. Place components in the src/components directory organized by feature, not by type. Always use TypeScript interfaces for prop definitions."

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Last updated 2 months ago