Code Consistency & Speed: Customizing Your Code Assistant with Community Prompts
Here is a friendly and clear breakdown of how this resource is useful, how to get started, and some examples.
From a software engineer's perspective, this repository is all about consistency, productivity, and quality. It's the community-curated instruction manual to transform a smart auto-completion tool into a highly-specialized, personalized, and predictable pair programmer.
Enforce Standards
You can use Custom Instructions to bake your team's specific coding standards, style guides (like using two spaces for indentation or specific naming conventions), and preferred frameworks directly into the Code Assistant's context. This means the code it generates will be consistent with the rest of your codebase, which significantly reduces the friction of code reviews and technical debt.
Contextual Awareness
By providing project-specific instructions, you make the Code Assistant an "insider." It understands your architecture, your preferred libraries, and even your project-specific jargon, leading to much more relevant and accurate suggestions.
Reusable Prompts
This is a huge time-saver. Instead of typing out a detailed request every time you need to, say, "generate a unit test for the function above using Jest," you can use a pre-written, highly-optimized Reusable Prompt from the repository. This ensures you get the best possible output with minimal effort.
Specialized Chat Modes
You can define a Custom Chat Mode that gives the Code Assistant a specific "persona" for a task. For example, a "Security Reviewer" mode will prioritize vulnerability analysis, or a "Database Architect" mode will focus on SQL optimization. This immediately focuses the AI's response, making it more useful.
Knowledge Transfer
The curated prompts and instructions act as a shared knowledge base. New team members can quickly get up to speed on the team's best practices by simply having the right configuration files in place.
Discover Best Practices
You can explore the community contributions to find new, effective ways to prompt the Code Assistant for tasks you might not have considered, such as writing better commit messages, generating boilerplate configurations (like Dockerfiles), or documenting legacy code.
The core of using github/awesome-copilot is incorporating its methods into your own repository, primarily through special Markdown files.
Start by checking out the github/awesome-copilot repository itself to see the structure and the available examples for prompts, instructions, and chat modes.
The easiest way to start is by adding a configuration file to your own project.
Create a folder named .github in the root of your project.
Inside the .github folder, create a file named copilot-instructions.md.
This file acts as a universal style guide and context setter for the Code Assistant when it works in your repository.
File Location
your-project/
├── .github/
│ └── copilot-instructions.md <-- This is where your custom rules go
└── src/
└── ...
You can create specific files for highly reusable prompts, often stored in a dedicated folder. This is great for making complex, multi-step tasks one-click operations.
Create a folder named .copilot (or similar) in your repository root.
Inside, create a .prompt file.
File Location
your-project/
├── .copilot/
│ └── review-security.prompt <-- A reusable prompt file
├── .github/
└── ...
This guides the Code Assistant on your team's specific preferences, ensuring generated code is instantly compliant.
# Repository Custom Instructions
## Code Style
- **Indentation:** Always use **4 spaces** for indentation, not tabs.
- **Language:** Prioritize **TypeScript** over JavaScript for any new frontend component.
- **Imports:** Imports should be explicitly named, avoid `import * as ...` when possible.
- **Variable Naming:** Use `camelCase` for variables and functions, and `PascalCase` for React components.
## Best Practices
- **React Components:** New React components must be functional components that accept an `interface` for props.
- **Data Fetching:** Always use the dedicated `useDataFetch` custom hook for any API calls. **Do not** use `fetch` or `axios` directly.
- **Unit Tests:** When generating a function, **always** include a suggestion for an accompanying Jest unit test in the same file.
This can be used via the Code Assistant's chat interface (e.g., in VS Code) by typing a slash command, like /prompt review-security.
# Reusable Prompt: Security Review
## Task
You are an expert Security Engineer. Your task is to perform a focused security review on the currently open or selected code block.
## Instructions
1. Identify any potential **Injection Flaws** (SQL, Command, or HTML).
2. Point out any hardcoded **Secrets** or **API Keys**.
3. Check for inappropriate use of **eval()** or insecure deserialization.
4. Suggest a more secure alternative implementation for any vulnerability found.
5. If no obvious issues are present, state: "Initial security review passed. The code appears sound."
After setting up the review-security.prompt file, you can then interact with the Code Assistant in your IDE's chat window.
Open the file you want to review.
In the Code Assistant Chat, you would type something like
/prompt review-security
or, if using the chat agent syntax
@CodeAssistant /prompt review-security in the current file
The Code Assistant will then run the prompt's instructions against the context of your currently open file, providing a specialized security assessment based on the persona and instructions you defined in the prompt file.
By leveraging the github/awesome-copilot patterns, you stop just getting code completions and start leveraging the Code Assistant to enforce quality, accelerate complex tasks, and act as a specialized assistant for different parts of the development lifecycle!
