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name: peil description: Prompt Engineering Instructional Language (PEIL) - generates optimised system prompts for AI agents and LLMs. Use when creating agent system prompts, improving prompt quality, applying research-backed prompting techniques, or structuring prompts with role, context, instructions, and desired output. Keywords: prompt engineering, system prompt, agent prompt, LLM optimization, prompt generation. license: MIT metadata: author: Tim Haintz version: "0.2" source: https://arxiv.org/abs/2402.07927

Prompt Engineering Instructional Language (PEIL)

PEIL is a structured methodology for generating high-quality system prompts for AI agents and large language models.

When to Use This Skill

• Creating system prompts for autonomous agents
• Improving existing prompts for better LLM performance
• Applying research-backed prompting techniques
• Structuring complex instructions clearly

PEIL Template Structure

Use the following variables to construct effective prompts:

Copy{Role} {ProvideClearContext} {BreakDownComplexQuestions} {ProvideSpecificInstructions} {DefineConciseness} {PromptingTechniques} {StateDesiredOutput}

Variable Definitions

Hybrid Prompt Structure

Based on research from arXiv:2503.06926, employ a hybrid structure:

1. Opening Statement: Short sentence or paragraph stating role and goal
2. Bullet Points: Specific rules, options, or constraints

Step-by-Step Instructions

1. Define the Role: Start with "You are a [domain] expert" or similar
2. Set Context: Explain the domain and what the model should focus on
3. Break Down Questions: If complex, split into sub-questions
4. Add Constraints: Include any specific rules or requirements
5. Set Length: Define word limits if needed
6. Choose Technique: Select from TECHNIQUES.md based on task type
7. Specify Output: Define format (Markdown, JSON, bullet points, etc.)

Quick Reference: Technique Selection

See TECHNIQUES.md for the complete techniques table.

Example Prompt

CopyYou are a cybersecurity expert specializing in enterprise security architecture, focused on practical measures for protecting sensitive data in cloud environments.

When responding:
- Include at least three key components of a strong security strategy
- Provide specific examples of implementation
- Address both technical and human factors

Think through each security layer step by step. Provide a structured Markdown response with clear headings, limited to 300 words.

Categories

PEIL supports 24 prompt categories. See CATEGORIES.md for full definitions:

Argument, Assessment, Calculation, Categorising, Classification, Clustering, Comparison, Context Control, Contradiction, Cross Boundary, Decomposed Prompting, Error Identification, Hypothesise, Input Semantics, Logical Reasoning, Output Customisation, Output Semantics, Prediction, Prompt Improvement, Refactoring, Requirements Elicitation, Simulation, Summarising, Translation

Additional Resources

• Prompt Examples
• Full Techniques Reference
• Category Definitions

Research Sources

• A Systematic Survey of Prompt Engineering in Large Language Models
• Hybrid Prompt Structure Research
• IJIRT Prompt Engineering Paper