prompt-template-manager

license	Apache-2.0
name	prompt-template-manager
description	Version-control, parameterize, and A/B test LLM prompt templates with Git-native workflows. Activate on: prompt versioning, prompt templates, A/B test prompts, manage prompts, prompt registry. NOT for: writing prompts from scratch (prompt-engineer), fine-tuning data (fine-tuning-dataset-curator).
allowed-tools	Read,Write,Edit,Bash(python:*,pip:*,npm:*,npx:*)
category	AI & Machine Learning
tags	["prompt-management","versioning","a-b-testing","templates","llm-ops"]
pairs-with	[{"skill":"prompt-engineer","reason":"Prompt engineer writes content; this skill manages lifecycle"},{"skill":"llm-evaluation-harness","reason":"A/B tests need automated evaluation to pick winners"},{"skill":"llm-cost-optimizer","reason":"Template compression and model routing reduce per-prompt cost"}]

Prompt Template Manager

Version-control, parameterize, and A/B test LLM prompt templates using Git-native workflows and structured registries.

Activation Triggers

Activate on: "prompt versioning", "prompt template", "A/B test prompts", "prompt registry", "manage prompt variants", "prompt as code", "parameterized prompts", "prompt lifecycle"

NOT for: Writing or optimizing individual prompts (prompt-engineer), fine-tuning dataset preparation (fine-tuning-dataset-curator), or LLM application architecture (ai-engineer)

Quick Start

1. Structure prompts as files — Store each prompt template in prompts/{domain}/{name}.yaml with metadata, variables, and versioned content.
2. Parameterize with variables — Use {{variable}} placeholders for dynamic content; separate static instruction from dynamic context.
3. Version with Git — Each prompt change is a commit. Tags mark production versions. Branches for experiments.
4. A/B test — Deploy multiple variants simultaneously, route traffic by percentage, collect metrics per variant.
5. Promote winners — Evaluate via automated harness or human review, promote winning variant to production tag.

Core Capabilities

Domain	Technologies	Notes
Template Format	YAML + Jinja2, Handlebars, Mustache	YAML frontmatter for metadata, body for template
Version Control	Git tags, branches, semantic versioning	v1.2.0 tags for production, branches for experiments
A/B Testing	Feature flags (LaunchDarkly, Unleash, custom)	Percentage-based routing with metrics collection
Registry	File-based, PostgreSQL, Redis	Central lookup for template resolution at runtime
Evaluation	LLM-as-judge, human eval, RAGAS	Automated comparison of variant outputs
Rendering	Jinja2 (Python), Handlebars (JS), custom	Variable interpolation with type validation

Architecture Patterns

Pattern 1: File-Based Prompt Registry