Prompt Engineering Techniques in Skill Files

Skill files are, at their core, prompts — structured instructions that guide AI agent behavior. Applying prompt engineering techniques to skill file writing dramatically improves how well agents follow the skill's guidance. This skill covers embedding few-shot examples, chain-of-thought reasoning guides, constraint specification, role framing, and other prompt engineering patterns within the skill file format.

## Key Points

1. Does it do one thing? (Single Responsibility)
2. Are inputs validated?
3. Are errors handled?
4. Is the naming clear?
- Naming: Function name `p` is not descriptive. Rename to
- Naming: Parameter `d` is not descriptive. Rename to `person`.
- Input validation: No check if 'name' and 'age' keys exist.
- Error handling: `str(d['age'])` will fail if age is None.
- Single responsibility: OK — function does one thing.
- Naming: Clear and descriptive. Good.
- Input validation: Present and thorough. Good.
- Error handling: Appropriate ValueError for invalid inputs. Good.