
Prompt Writing
Create, refine, and optimize high-quality YAML prompts for AI assistants.
Install
npx skills add ModelEngine-Group/nexent --skill prompt-writing -g -a claude-code -y- Repository
- ModelEngine-Group/nexent6.1k
- Category
- AI and agents
- Updated
- 4d ago
- License
- Complete terms in LICENSE.txt
- Context cost
- Lightabout 550 tokens
- Runs scripts
- No, instructions only
What it does
Create, refine, and optimize high-quality YAML prompts for AI assistants. Use when working with prompt templates, system prompts, agent prompts, or any prompt engineering tasks. Provides structure guidelines, template patterns, and quality standards for YAML-based prompts.
Prompt Writing
Create and optimize YAML-based prompts for AI assistants following industry best practices.
Quick Start
Standard YAML Prompt Structure
system_prompt: |-
# Section with ### header
## Subsection with ## header
Content with clear structure.
**Bold key concepts**
- Bullet points for requirements
- Consistent indentation (2 spaces)
1. Numbered lists for sequences
2. Use when order matters
user_prompt: |
Direct instructions with {{ variable placeholders }}
Key Principles
- Structure: Use
|-for multi-line system prompts,|for user prompts - Templating: Use
{{ variable }}for dynamic content - Separators: Use
---sparingly, only between major sections - Language: Keep prompts in consistent language (English recommended for templates)
Quality Checklist
Before finalizing any prompt, verify:
- No unclosed braces
{{without}} - No excessive separators (
---,***) - Consistent heading hierarchy (
###→##) - Clear variable placeholders with descriptive names
- Proper YAML indentation preserved
- No HTML tags in Markdown content
- Lists have parallel structure
Common Patterns
System Prompt with Sections
system_prompt: |-
### Role Definition
You are a professional [role name]. Your task is to [core responsibility].
### Requirements
1. First requirement
2. Second requirement
3. Third requirement
### Guidelines
- Do this
- Don't do that
- Always do this
### Output Format
Respond in plain text without separators.
Jinja2 Template Variables
user_prompt: |
Please analyze the following {{ document_type }}:
Name: {{ filename }}
Content: {{ content }}
Summary ({{ max_words }} words):

