What is Llm Prompts

llm-prompts is a repository of LLM prompts that can be served over MCP to your LLM, allowing users to write prompts once and use them anywhere.

Use cases

Use cases include assisting software developers in planning code changes, generating semantic git commit messages, and providing step-by-step instructions for completing code change tasks.

How to use

To use llm-prompts, clone the repository from GitHub, install the necessary dependencies using yarn, and access the available prompts via MCP.

Key features

Key features include a collection of useful LLM prompts, easy extensibility for additional prompts, and the use of TypeScript with the official MCP SDK.

Where to use

llm-prompts can be used in software development environments, particularly for tasks involving code changes, git commit messages, and task completion instructions.

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)
• 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

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

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

Installation

1. Clone the repository

   git clone [email protected]:BrentLayne/llm-prompts.git
   

2. Install dependencies

   yarn install
   

Usage

1. Make sure to build

Compile the source code so it’s ready to run.

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

// 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
• Register the prompt in src/mcp-server/server.ts

Run the MCP server locally (with hot reload)

yarn dev

Debug with MCP Inspector (always make sure to build first, to pick up your latest changes)

yarn build
yarn inspector

References

• MCP SDK Documentation