# Prompt Enhancement

> 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.

- Skill: `masriyan/prompt-enhancement` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add masriyan/prompt-enhancement`
- Raw SKILL.md: https://api.skillmd.com/api/skills/masriyan/prompt-enhancement/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: AI & ML
- Author: Masriyan (https://skillmd.com/u/masriyan)
- Updated: 2026-09-10
- Page: https://skillmd.com/skills/masriyan/prompt-enhancement

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# 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

```text
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>
```