llm-prompts

# LLM Prompts A repository of LLM prompts that can be served over MCP to your LLM. Write once, prompt anywhere. ## Features - A collection of useful LLM prompts (see: [src/llm-prompts](./src/llm-prompts/)) - LLM prompts are served via MCP - Easily extendable for additional LLM prompts - Built with TypeScript and the official MCP SDK --- ## Available prompts #### `getCodeChangePlanningInstructions` - **Description:** Provides detailed, step-by-step instructions for planning an LLM-assisted code change. Use this tool to help a software developer and LLM collaboratively create a robust, actionable plan for implementing a code change, including best practices for clarifying requirements, structuring tasks, and managing dependencies. - **Returns:** The full contents of [`code-change-planning-instructions.md`](./src/llm-prompts/code-change-planning-instructions.md) #### `getGitCommitInstructions` - **Description:** Returns best-practice instructions and examples for writing semantic git commit messages. Use this tool to help a developer or LLM generate clear, conventional commit messages that communicate the intent and context of code changes, following the semantic commit format. - **Returns:** The full contents of [`git-commit-instructions.md`](./src/llm-prompts/git-commit-instructions.md) #### `getCodeChangeTaskCompletionInstructions` - **Description:** Provides detailed, step-by-step instructions for completing a code change task. Use this tool to get instructions for completing a code change task defined in the plan.md file. Instructions include best practices for testing, debugging, and committing changes. - **Returns:** The full contents of [`code-change-task-completion-instructions.md`](./src/llm-prompts/code-change-task-completion-instructions.md) --- ## Installation 1. **Clone the repository** ```sh git clone git@github.com:BrentLayne/llm-prompts.git ``` 2. **Install dependencies** ```sh yarn install ``` --- ## Usage 1. **Make sure to build** Compile the source code so it's ready to run. ```sh yarn build ``` 2. **Add the MCP server to Cursor (or your other MCP client of choice) and get your LLM to pull in prompts that you can then use to prompt the LLM!** Example Cursor usage: 1. Add to MCP config ```typescript // in Cursor's mcp.json file { ...other MCPs, "llm-prompts": { "command": "node", "args": [ "/your/path/to/llm-prompts/build/server.js" ] } } ``` 2. Prompt the agent to prompt itself - Example: "Read the instructions on how to plan a feature and then follow those instructions to help me write a new feature" --- ## Local development workflow - Add a new prompt to [src/llm-prompts](./src/llm-prompts/) - Register the prompt in [src/mcp-server/server.ts](./src/mcp-server/server.ts) ### Run the MCP server locally (with hot reload) ```sh yarn dev ``` ### Debug with MCP Inspector (always make sure to build first, to pick up your latest changes) ```sh yarn build yarn inspector ``` --- ## References - [MCP SDK Documentation](https://github.com/modelcontextprotocol/typescript-sdk)