| name | prompt-workbench |
| description | Design, test, and iterate on prompts for GRAFTKIT agents, commands, and skills. A/B test prompt variants and measure output quality.
|
| version | 0.1.0 |
| author | Jero (LATTICE / MARPA Design Studios) |
| triggers | ["design a prompt","test this prompt","improve the prompt","prompt engineering","A/B test prompts"] |
| tools | ["Read","Write","Edit","Bash","Glob","Grep"] |
Prompt Workbench
USE WHEN the user wants to design, test, iterate on, or compare prompts for agents, commands, skills, or any LLM-powered component.
What It Does
A workspace for prompt engineering within GRAFTKIT:
- Design — Create structured prompts with system/user/assistant roles and variables
- Test — Run prompts against sample inputs and evaluate outputs
- Iterate — Refine prompts based on output quality, hallucination rate, adherence to spec
- Compare — A/B test prompt variants (Polygraft pattern) with side-by-side output
- Extract — Turn successful prompts into Scions (reusable patterns for new Rootstocks)
Usage
design a prompt for the classifier agent
test this prompt against 5 sample inputs
compare prompt A vs prompt B for entity extraction
Prompt Structure
---
name: prompt-name
target: agent | command | skill | hook
model: claude-opus-4-6 | claude-sonnet-4-6
temperature: 0.0-1.0
---
## System
[System instructions]
## User
[User message template with {{variables}}]
## Expected Output
[Format and content expectations]
Evaluation Criteria
| Criterion | Weight | Description |
|---|
| Accuracy | 40% | Correct output for given input |
| Adherence | 25% | Follows format and vocabulary spec |
| Efficiency | 20% | Token usage relative to output quality |
| Robustness | 15% | Handles edge cases and malformed input |
