Prompt enhancer

Skill emingenc/harness-engineering/skills/prompt-enhancer

Improve and enhance prompts for LLM interactions. Use when user says "improve this prompt", "make this prompt better", "enhance prompt", "review my prompt", or shares a prompt and asks for feedback.From its SKILL.md

Install

npx -y skills add emingenc/harness-engineering --skill prompt-enhancer

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

1 stars1 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

SKILL.md

2.1 KB, as published. Nobody here has run it

Prompt Enhancer

Process

Step 1: Analyze

Run the PTC analysis script:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/prompt-enhancer/scripts/enhance.py analyze "<prompt_text_or_file_path>"

Returns JSON with scores and suggestions:

{
  "has_role": false,
  "has_examples": false,
  "has_output_format": true,
  "specificity_score": 3,
  "word_count": 42,
  "suggestions": ["Add role definition", "Include few-shot examples"]
}

Step 2: Enhance

Apply surgical improvements based on analysis:

Add role definition if missing
Replace vague language with concrete instructions
Specify output format if missing
Add 1-2 few-shot examples if beneficial
Add constraints/negative examples where helpful

Do NOT over-engineer. If a dimension is already good, leave it.

Step 3: Present

Run formatting script:

python3 ${CLAUDE_PLUGIN_ROOT}/skills/prompt-enhancer/scripts/enhance.py format \
  --original "<original>" --enhanced "<enhanced>"

Show to user:

Enhanced prompt (ready to copy)
Before/after scores
Brief rationale for each change

Examples

Example 1: Vague Prompt

Input: "Summarize this text" Output: Enhanced with role ("You are a concise technical writer"), output format ("Provide a 3-bullet summary"), and constraints ("Focus on actionable insights, not background").

Example 2: Good Prompt Missing Examples

Input: "You are a code reviewer. Review the following Python code for bugs and suggest fixes. Format output as a table with columns: Line, Issue, Fix." Output: Added 1 few-shot example showing expected table format. Other dimensions left unchanged.

Anti-Patterns

Do NOT add complexity to already-good prompts
Do NOT change the user's intent or domain focus
Do NOT add unnecessary XML tags or formatting to simple prompts