prompt-engineer
Invoke IMMEDIATELY via python script when user requests prompt optimization. Do NOT analyze first - invoke this skill immediately.
When & Why to Use This Skill
The Prompt Engineer skill is a specialized automation tool designed to streamline the prompt optimization process for AI agents. By utilizing a structured Python-driven workflow, it provides immediate, step-by-step assistance in refining prompt logic, ensuring high-quality outputs across various scopes—from single-file optimizations to complex multi-prompt ecosystems and greenfield designs.
Use Cases
- Single Prompt Optimization: Enhancing individual prompt files to improve accuracy, tone, and output quality for specific tasks.
- Ecosystem Management: Coordinating and optimizing multiple interrelated prompts that must interact seamlessly within a complex AI architecture.
- Greenfield Prompt Design: Creating robust, high-performing prompts from scratch based on initial project requirements and functional goals.
- Prompt Troubleshooting: Identifying and fixing specific performance issues, logic errors, or hallucinations in existing prompt sets.
| name | prompt-engineer |
|---|---|
| description | Invoke IMMEDIATELY via python script when user requests prompt optimization. Do NOT analyze first - invoke this skill immediately. |
Prompt Engineer
When this skill activates, IMMEDIATELY invoke the script. The script IS the workflow.
Invocation
Start with step 1 (triage) to determine scope:
Then continue with determined scope:
| Argument | Required | Description |
|---|---|---|
--step |
Yes | Current step (1 = triage, 2-6 = workflow) |
--scope |
For 2+ | Required for steps 2-6. Determined by step 1. |
Scopes
- single-prompt: One prompt file, general optimization
- ecosystem: Multiple related prompts that interact
- greenfield: No existing prompt, designing from requirements
- problem: Existing prompt(s) with specific issue to fix
Do NOT analyze or explore first. Run the script and follow its output.