prompt-engineer
Invoke IMMEDIATELY via python script when user requests prompt optimization. Do NOT analyze first - invoke this skill immediately.
Security Assessment
About prompt-engineer
The 'prompt-engineer' skill is designed to streamline the process of prompt optimization for AI models by directly invoking a python script when a user requests it. This skill eliminates the need for preliminary analysis, activating the script immediately to perform optimization tasks. It follows a structured workflow with distinct steps, starting from triage (step 1) to determine the scope of optimization and continuing with the necessary adjustments based on that scope. The primary goal of the skill is to quickly and efficiently improve the quality and performance of AI prompts, making it ideal for environments where prompt optimization is a routine and necessary process.
FAQ
How do I invoke the 'prompt-engineer' skill?
You invoke the 'prompt-engineer' skill by running the python script with the following command: 'python3 -m skills.prompt_engineer.optimize --step 1'. This starts the triage process to determine the scope of optimization.
What is the purpose of the '--scope' argument?
The '--scope' argument is used to specify the type of optimization required after the triage step. It is required for steps 2-6 and helps define the focus of the optimization process, such as 'single-prompt', 'ecosystem', 'greenfield', or 'problem'.
What types of prompts can the skill optimize?
The 'prompt-engineer' skill can optimize single prompts, multiple related prompts within an ecosystem, new prompts based on requirements (greenfield), or existing prompts with specific issues (problem).
Install prompt-engineer
Quick Setup:
- Copy the skill folder to
.claude/skills/ - Claude will automatically detect and use the skill
Repository
solatis/claude-config