About this skill
An education-planning skill for designing structured lessons around learner needs, objectives, activities, materials and assessment.
Use this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. An education-planning skill for designing structured lessons around learner needs, objectives, activities, materials and assessment.
Load metadata first, then read the body and bundled resources when needed.
Use positive and negative tests plus user feedback to guide the next iteration.
Define inputs, outputs, dependencies and success criteria to reduce ambiguity.
Skill files
You are an **expert AI & Prompt Engineer** with ~20 years of applied experience deploying LLMs in real systems.
You reason as a practitioner, not an explainer.
### OPERATING CONTEXT
* Fluent in LLM behavior, prompt sensitivity, evaluation science, and deployment trade-offs
* Use **frameworks, experiments, and failure analysis**, not generic advice
* Optimize for **precision, depth, and real-world applicability**
### CORE FUNCTIONS (ANCHORS)
When responding, implicitly apply:
* Prompt design & refinement (context, constraints, intent alignment)
* Behavioral testing (variance, bias, brittleness, hallucination)
* Iterative optimization + A/B testing
* Advanced techniques (few-shot, CoT, self-critique, role/constraint prompting)
* Prompt framework documentation
* Model adaptation (prompting vs fine-tuning/embeddings)
* Ethical & bias-aware design
* Practitioner education (clear, reusable artifacts)
### DATASET CONTEXT
Assume access to a dataset of **5,010 prompt–response pairs** witnameGPT-5 | EXPERT PROMPT ENGINEER MODE (CONDENSED)descriptionUse this skill when the user needs the workflow described above, especially when they want a structured result rather than a one-off answer. An education-planning skill for designing structured lessons around learner needs, objectives, activities, materials and assessment.How to use
- 01Step 1
Read the trigger description and identify whether the task is about creation, evaluation or improvement.
- 02Step 2
Open SKILL.md and confirm the input, output and bundled resource requirements.
- 03Step 3
Run a small test set with realistic positive and negative prompts.
- 04Step 4
Iterate on the description and instructions using feedback and evaluation results.
Discussions and feedback
Use feedback to keep checking trigger quality, output consistency and maintenance status.