AGENTS.md Generator

AGENTS.md Generator helps you generate cross-agent project instructions for codex, claude code, and gemini cli. Instead of leaving users with a blank prompt box, it turns fields such as Project / Bot Name, Stack / Domain, Goal, Constraints, Target Agents, Typical Task Type, Response Style into a structured Markdown document that can be copied, downloaded, reviewed, and reused. It is designed for practical AI workflows across coding agents, image generators, video generators, prompt libraries, creative briefs, and review checklists. The tool runs in the browser without requiring a login or paid API key, so the page itself provides clear guidance, examples, and repeatable output structure before the user ever sends anything to an AI model.

How to Use

1. 1Start by defining the exact outcome you want the AI workflow to produce.
2. 2Fill in the most important fields such as Project / Bot Name, Stack / Domain, Goal.
3. 3Use the sample button to inspect a complete realistic input set, then replace it with your own project details.
4. 4Review the generated Markdown for missing constraints, vague wording, risky assumptions, and output rules.
5. 5Copy or download the result and paste it into your agent, design workflow, video prompt tool, documentation file, or prompt library.

Features

• ✓Generates a practical AGENTS.md Markdown output
• ✓Uses 7 structured fields instead of one vague prompt box
• ✓Runs locally in the browser with no signup, storage, or API key requirement
• ✓Includes repeatable sections for goals, context, constraints, deliverables, and review criteria
• ✓Supports sample filling, copying, and downloading for faster real-world reuse

Practical Examples

• •Create a first draft for a real project such as MojoUtils before sending instructions to an AI model.
• •Turn a vague creative or coding request into a clearer prompt with context, constraints, and expected output.
• •Create a reusable Markdown reference that teammates can review before using the same workflow again.

Example Outputs

# AGENTS.md

## Project
MojoUtils

## Stack
Next.js, TypeScript, next-intl, Tailwind CSS

## Supported Agents
- Codex
- Claude Code
- Gemini CLI

## Mission
Build and maintain browser-only utility tools.

## Working Rules
- Use existing components, run lint and build, keep user-facing text localized.

## Typical Tasks
- Feature work

## Agent Notes
- Codex: prefer repository-local commands, tests, and concise progress updates.
- Claude Code: preserve existing user edits and keep changes scoped.
- Gemini CLI: verify assumptions and keep output structured.

## Response Style
Short progress updates and final verification summary.

# AGENTS.md Generator Workflow Example

## Scenario
Prepare a reusable AI workflow for MojoUtils before asking an AI model to produce final work.

## Key Inputs
- Project / Bot Name: MojoUtils
- Stack / Domain: Next.js, TypeScript, next-intl, Tailwind CSS
- Goal: Build and maintain browser-only utility tools.
- Constraints: Use existing components, run lint and build, keep user-facing text localized.
- Target Agents: Codex,Claude Code,Gemini CLI

## How To Use The Result
- Review the draft for project-specific language.
- Keep constraints and output rules visible near the top.
- Save the result as a reusable instruction, prompt, checklist, or creative brief.

Common Pitfalls

• •Do not use the sample output unchanged; replace project names, platform details, constraints, and success criteria.
• •Different AI tools interpret prompts differently, so keep critical rules short, explicit, and easy to verify.
• •Avoid including private credentials, unreleased client work, copyrighted style references, or sensitive personal data in prompts.

Frequently Asked Questions