A curated, production-ready collection of 100 prompt templates organized by task, purpose, and technique. This repository showcases breadth and depth in prompt engineering, providing reusable templates for various domains and use cases.
This portfolio contains professionally crafted prompt templates that demonstrate advanced prompt engineering techniques. Each template uses parameterized placeholders and includes technique tags, making them easy to adapt for your specific needs.
Author: Minggo Commits AKA Arsan
Version: 1.0
License: CC BY 4.0
- Browse the main prompt collection
- Find a prompt template that matches your use case
- Replace placeholders (e.g.,
{topic},{audience}) with your specifics - Refine and iterate based on results
- 100 Reusable Prompts - Complete collection organized by category
- Markdown Prompt Engineer - First - Structured markdown generation template
- Markdown Prompt Engineer - Second - Advanced markdown engineering techniques
- Markdown Prompt Engineer - Third - Expert-level markdown prompt patterns
- 100+ Production-Ready Templates across 20+ categories
- Parameterized Placeholders for easy customization
- Technique Tags for learning and reference
- Best Practices embedded in each prompt
- Measurable Outcomes and evaluation guidance
The prompts are organized into the following categories:
- Content Creation and Editing - Blog posts, style transfer, editing
- Analysis and Summarization - Executive briefs, comparative analysis
- Data Extraction and Structuring - JSON extraction, parsing, normalization
- Software Engineering - Code generation, refactoring, testing
- Product and UX - PRDs, user research, onboarding
- Business and Marketing - GTM plans, positioning, case studies
- Education and Learning - Lesson plans, explanations, practice problems
- Research and Reasoning - Literature reviews, claim-evidence mapping
- Creativity and Storytelling - Story outlines, brainstorming, brand voice
- Operations and Process - SOPs, KPIs, postmortems
- Quality, Evaluation, and Safety - Rubrics, guardrails, bias audits
- Developer Tooling and LLMOps - Prompt chaining, RAG, output schemas
- Multilingual and Localization - L10n, glossaries, translation QA
- Advanced Prompting Techniques - Chain-of-thought, tree-of-thought
- Compliance and Domain Sensitivity - Policy-aware generation, PII redaction
- Project Management - WBS, risk registers, communication plans
- Evaluation Datasets and Benchmarks - Synthetic datasets, golden sets
- Debugging and Diagnostics - MRE creation, log triage
- Hiring and Interviews - Role scorecards, interview kits
- Presentation and Communication - Slide outlines, visual hierarchy
- Legal and Policy Drafting - Policy drafts, contract explanations
- Personal Productivity - Decision memos, time blocking, habit design
When showcasing these prompts in your portfolio:
- Show the technique - Explain which prompting technique(s) you're using
- Provide before/after samples - Demonstrate the prompt's effectiveness
- Include evaluation metrics - Show measurable outcomes
- Document iterations - Share refinement process and learnings
- Parameterize the template - Save prompts with clear parameter names
- Validate inputs - Ensure placeholders are properly replaced
- Implement error handling - Plan for edge cases and failures
- Monitor and iterate - Track performance and refine over time
{topic},{subject},{goal}- Main focus or theme{audience},{persona},{role}- Target user or reader{style},{tone},{author_style}- Voice or writing style{constraints},{word_count},{limits}- Hard constraints{outline},{schema},{columns}- Structural elements{text},{source_text},{code}- Input content to process
Learn from these advanced prompting techniques:
- Role/Persona - Setting AI perspective and expertise
- Constraints - Limiting scope for focused outputs
- Few-shot - Learning from examples
- Chain-of-thought - Step-by-step reasoning
- Self-critique - Built-in quality checks
- RAG - Retrieval-Augmented Generation
- JSON enforcement - Structured output formats
- And 30+ more techniques...
This is a living portfolio. Suggestions for improvements are welcome through issues and pull requests.
This work is licensed under Creative Commons Attribution 4.0 International (CC BY 4.0).
You are free to:
- Share — copy and redistribute the material
- Adapt — remix, transform, and build upon the material
Under the following terms:
- Attribution — You must give appropriate credit to Minggo Commits AKA Arsan
Note: These prompts are templates and starting points. Always refine and validate outputs for your specific use case, especially in production environments.