Markdown to Prompt Formatter (XML & Sections)
Transform raw notes and markdown documents into Claude XML tags, Cursor task cards, and ChatGPT sectioned prompts.
Markdown to Prompt Formatter
Transform raw Markdown specifications, docs, and code into clean, token-efficient, XML-structured prompts optimized for LLM context caching.
<instructions>
Implement this specification as clean, production-grade code.
</instructions>
<context>
<document path="docs/auth-middleware.md">
# Authentication Middleware Specification
The application enforces JWT-based authentication across all API endpoints under `/api/v1/*`.
## Requirements
- Validate the `Authorization: Bearer <token>` header.
- If expired or invalid, return HTTP 401 Unauthorized with error code `AUTH_TOKEN_EXPIRED`.
- Extract user roles (`admin`, `member`, `viewer`) and attach to request context.
### Example Token Payload:
```json
{
"sub": "usr_9482918",
"email": "dev@company.com",
"role": "admin",
"exp": 1726000000
}
```
## Edge Cases:
1. Missing Authorization header completely.
2. Malformed token string without the Bearer prefix.
</document>
</context>
<task>
Please proceed with the implementation, adhering strictly to the provided context and requirements.
</task>Overview
Free online tool to format Markdown content into prompt-ready architectures. Wrap context into Claude-preferred XML tags (<context>, <instructions>), build Cursor IDE tasks, or create clean sectioned prompts.
Markdown to Prompt Formatter Guide
Pasting unstructured notes into LLMs often leads to instructions blending into background data.
Claude 3.5 operates with peak precision when inputs are cleanly delineated via semantic XML tags like <context> and <guidelines>.
This tool converts standard Markdown documents into prompt architectures tailored for Claude, Cursor, and ChatGPT.
How to Format Markdown for AI Prompts
Fast & IntuitiveInput Markdown
Paste documentation, notes, or technical specs into the editor.
Choose Output Architecture
Select Claude XML, Cursor Task Spec, or Sectioned Prompt.
Copy Prompt
Transfer the formatted architecture into your AI workflow.
Key Highlights & Advantages
Zero server uploads. Everything processes securely within your local browser memory.
Immediate results with no file upload or download queues.
No registration, no paywalls, and no hidden quotas.
Seamlessly optimized for mobile smartphones, tablets, and desktop workstations.
All data processing runs natively via W3C compliant browser hardware acceleration.
- Place the final user question at the very end after the closing XML context tag.
- Use nested tags like <document id="1"> when providing multiple reference sources.
Frequently Asked Questions
2 Q&AsWhy does Claude prefer XML tags?
Anthropic pre-trained Claude to treat XML structures as clear semantic boundaries, preventing instruction drift.
Can this be used for RAG pipelines?
Yes, wrapping retrieved document chunks into XML tags improves generation faithfulness.
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