format-to-markdown

name: format_to_markdown description: Convert raw text, notes, or unstructured content into well-formatted Markdown documents. Use when user pastes text and wants it organized, formatted, or cleaned up for storage.

Format to Markdown Skill

Core Skill: Transform unstructured text into clean, well-organized Markdown documents.

When to Use

• User pastes raw text, notes, or copied content
• User says "format this", "organize this", "clean this up"
• User wants to save messy notes as structured documents
• Content needs proper headings, lists, code blocks

Formatting Rules

1. Structure Analysis

First, identify the content type:

• Tutorial/Guide: Use numbered steps, code blocks
• Notes/Ideas: Use bullet points, short paragraphs
• Technical Doc: Use headings hierarchy, code examples
• Article/Blog: Use paragraphs, blockquotes, emphasis

2. Markdown Elements to Use

# Main Title (H1) - only one per document

## Section Heading (H2)

### Subsection (H3)

**Bold** for important terms
*Italic* for emphasis
`inline code` for commands, functions, file names

- Bullet lists for unordered items
1. Numbered lists for steps/sequences

> Blockquotes for citations or callouts

```language
code blocks for multi-line code

Link text for references for images

### 3. Content Enhancement

- Add appropriate headings to organize sections
- Convert run-on text into bullet points where appropriate
- Wrap code/commands in code blocks with language hints
- Add blank lines between sections for readability
- Preserve original meaning while improving clarity

## Output Format

After formatting, provide JSON for `save_doc`:

```json
{
  "title": "Extracted or generated title",
  "content": "# Full Markdown Content\n\n...",
  "category": "Suggested category",
  "tags": ["relevant", "tags"],
  "summary": "Brief 1-2 sentence summary"
}

Categories Reference

Common categories to use:

• Tech: Programming, tools, software
• AI: Machine learning, LLMs, agents
• DevOps: Deployment, infrastructure, CI/CD
• Notes: General notes, ideas, thoughts
• Tutorial: How-to guides, learning materials
• Reference: Documentation, API references

Example

Input (raw text):

python虚拟环境管理 用venv创建 python -m venv myenv 激活的话windows是myenv\Scripts\activate linux是source myenv/bin/activate 退出用deactivate 删除直接删文件夹就行

Output (formatted):

{
  "title": "Python Virtual Environment Management",
  "content": "# Python Virtual Environment Management\n\nManage isolated Python environments using `venv`.\n\n## Create Environment\n\n```bash\npython -m venv myenv\n```\n\n## Activate\n\n**Windows:**\n```cmd\nmyenv\\Scripts\\activate\n```\n\n**Linux/macOS:**\n```bash\nsource myenv/bin/activate\n```\n\n## Deactivate\n\n```bash\ndeactivate\n```\n\n## Delete\n\nSimply delete the environment folder:\n```bash\nrm -rf myenv\n```",
  "category": "Tech",
  "tags": ["python", "venv", "virtual-environment"],
  "summary": "Quick reference for creating, activating, and managing Python virtual environments using venv."
}

Workflow

1. Receive raw text from user
2. Analyze content structure and type
3. Apply appropriate markdown formatting
4. Generate title, category, tags
5. Output JSON ready for save_doc skill