prompt-enhancement

name	prompt-enhancement
description	Prompt engineering and task-specification skill for improving prompts, agent instructions, system messages, evaluation prompts, coding-agent tasks, multi-step workflows, and LLM output reliability. Use when rewriting vague prompts, adding constraints, reducing ambiguity, improving safety, creating reusable prompt templates, or converting goals into actionable agent instructions.

Prompt Enhancement

Operating Rules

• Preserve the user's intent; do not over-constrain creative or exploratory tasks.
• Separate objective, context, inputs, constraints, output format, and verification criteria.
• Make implicit assumptions explicit when they affect outcome quality.
• Prefer testable instructions over personality-heavy wording.

Workflow

1. Diagnose the prompt for missing context, ambiguous goals, conflicting constraints, and weak success criteria.
2. Rewrite into a direct task with ordered steps and clear boundaries.
3. Add output format only when structure improves usability.
4. Add examples sparingly; use examples that demonstrate edge cases, not just happy paths.
5. Include a short rationale when the user needs to understand tradeoffs.

Prompt Template

Objective: <what outcome is required>
Context: <facts, files, audience, constraints>
Inputs: <data the model should use>
Process: <important reasoning or execution steps>
Output: <format, length, tone, artifacts>
Validation: <how to check correctness>
Boundaries: <what to avoid or ask before doing>