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Prompt Engineering Kit

$19

Python prompt template library with chain-of-thought scaffolding, few-shot management, and versioning.

📁 11 files
JSONMarkdownPythonLLM

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📁 File Structure 11 files

prompt-engineering-kit/ ├── LICENSE ├── README.md ├── examples/ │ ├── basic_usage.py │ └── custom_templates.json ├── free-sample.zip ├── guide/ │ ├── 01_features.md │ ├── 02_project-structure.md │ ├── 03_built-in-templates.md │ └── 04_faq.md ├── index.html └── src/ └── prompt_engineering_kit.py

📖 Documentation Preview README excerpt

Prompt Engineering Kit

Python prompt template library with variable injection, chain-of-thought scaffolding, few-shot example management, and prompt quality scoring. Zero dependencies.

Part of the AI Toolkit collection by [CodeVault](https://ai-toolkit.codevault.dev).

Features

  • Template library — 8 battle-tested prompt templates for common tasks (summarize, code review, classify, extract, etc.)
  • Variable injection — {placeholder} syntax with automatic detection and validation
  • Chain-of-thought — Multi-step prompt chains that scaffold complex reasoning
  • Few-shot examples — Attach input/output examples to any template
  • Prompt scoring — Quality analyzer that rates prompts on length, specificity, structure, and clarity
  • Strategy tagging — Templates tagged by strategy (zero-shot, few-shot, CoT, role-play, structured output)
  • JSON export — Export the entire library as JSON for integration with any LLM pipeline
  • CLI interface — List, preview, build, score, and chain prompts from the terminal

Quick Start


# List all available templates
python src/prompt_engineering_kit.py --list

# Build a prompt from a template
python src/prompt_engineering_kit.py --build summarize --vars '{"text":"Your text here","length":"3","style":"professional"}'

# Score a prompt for quality
python src/prompt_engineering_kit.py --score "Tell me about dogs"

# Run a multi-step chain
python src/prompt_engineering_kit.py --chain research --vars '{"topic":"AI safety","length":"3"}'

# Export the full library to JSON
python src/prompt_engineering_kit.py --export-library prompts.json

Project Structure


prompt-engineering-kit/
├── README.md
├── LICENSE
├── src/
│   └── prompt_engineering_kit.py    # Core engine (~400 lines)
└── examples/
    ├── basic_usage.py               # Programmatic usage example
    └── custom_templates.json        # Sample custom template library

CLI Reference

FlagDescription
--listList all templates and chains
--template NAMEShow a specific template
--build NAME --vars JSONBuild a prompt from a template
--chain NAME --vars JSONRender a multi-step prompt chain
--score "TEXT"Score a prompt string for quality
--score-file FILEScore a prompt loaded from a file
--export-library FILEExport the full library to JSON

... continues with setup instructions, usage examples, and more.

📄 Code Sample .py preview

examples/basic_usage.py#!/usr/bin/env python3 """ Basic usage example for the Prompt Engineering Kit. Demonstrates: - Listing available templates - Building a prompt from a template with variable injection - Scoring a prompt for quality - Running a chain-of-thought prompt sequence - Creating custom templates programmatically """ import sys from pathlib import Path # Allow running from the examples/ directory sys.path.insert(0, str(Path(__file__).resolve().parent.parent / "src")) from prompt_engineering_kit import ( CHAIN_LIBRARY, TEMPLATE_LIBRARY, FewShotExample, PromptChain, PromptStrategy, PromptTemplate, ChainStep, score_prompt, ) def demo_template_listing() -> None: """Show all available built-in templates.""" print("=== Available Templates ===\n") for name, tmpl in TEMPLATE_LIBRARY.items(): print(f" {name:<20} {tmpl.strategy.name:<20} vars: {tmpl.variables}") print() def demo_build_prompt() -> None: """Build a prompt from the 'summarize' template.""" print("=== Build a Prompt ===\n") tmpl = TEMPLATE_LIBRARY["summarize"]
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