Agent-Skills.md

Agent Skills: Senior Prompt Engineer

Prompt engineering workflow for building reliable assistants and agents: task decomposition, instruction hierarchy, tool-use patterns, safety constraints, and evaluation design. Use when writing or refactoring system prompts, creating structured prompts, building prompt test suites, or debugging regressions in LLM behavior.

UncategorizedID: vadimcomanescu/codex-skills/senior-prompt-engineer

Repository

vadimcomanescu/codex-skills
vadimcomanescuLicense: MIT
218

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pnpm dlx add-skill https://github.com/vadimcomanescu/codex-skills/tree/HEAD/skills/.curated/ai/senior-prompt-engineer

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skills/.curated/ai/senior-prompt-engineer/SKILL.md

Skill Metadata

Name
senior-prompt-engineer
Description
"Prompt engineering workflow for building reliable assistants and agents: task decomposition, instruction hierarchy, tool-use patterns, safety constraints, and evaluation design. Use when writing or refactoring system prompts, creating structured prompts, building prompt test suites, or debugging regressions in LLM behavior."

Senior Prompt Engineer

Treat prompts like products: versioned, tested, and measurable.

Quick Start

  1. Define the job: inputs, outputs, and the “definition of done”.
  2. Write the smallest prompt that:
    • states constraints clearly
    • defines output format
    • includes edge-case handling
  3. Add examples only when needed (few-shot is expensive).
  4. Create an eval set: representative cases + adversarial cases.
  5. Iterate with diffs: change one thing, measure impact.

Optional tool: scaffold a prompt + eval harness

python ~/.codex/skills/senior-prompt-engineer/scripts/scaffold_prompt_eval.py . --out evals/prompt_eval

References

  • Prompt review checklist: references/prompt-review.md