How do I install the Prompt Enhance skill?

Run npx skillmds@latest add agricidaniel/prompt-enhance in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Prompt Enhance safe to use?

This skill has not completed SkillMD's automated safety review yet. Independent scanners report: SkillSpector: PASS, Skill Scanner: PASS. Capability flags: docs only. SkillMD never runs a skill's scripts for you; review the SKILL.md before installing.

Which AI agents work with Prompt Enhance?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Prompt Enhance free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Prompt Enhance?

Agrici Daniel (@agricidaniel) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Prompt Enhance by agricidaniel — Agent Skill

Name: Prompt Enhance
Rating: 4.5 (4 reviews)
Author: Agrici Daniel

Prompt Enhance

Enhance and improve existing AI prompts using professional techniques from a 2,500+ prompt database. Adds detail, fixes structure, optimizes for specific models, and applies proven patterns from top-performing prompts. Use when user says "enhance my prompt", "improve this prompt", "make this prompt better", "optimize prompt", "fix my prompt", or "upgrade this prompt".

Agrici Daniel Updated Sep 9, 2026

File contents

Prompt Enhancer

Take any existing prompt and supercharge it using techniques from 2,500+ curated prompts.

Enhancement Workflow

Step 1: Analyze the Input Prompt

Evaluate the user's prompt on these dimensions:

Specificity (1-5): How detailed is the subject description?
Technical quality (1-5): Camera, lighting, composition details?
Style clarity (1-5): Is the aesthetic clearly defined?
Model optimization (1-5): Uses model-specific syntax correctly?
Length appropriateness (1-5): Right length for the target model?

Present a brief score card before enhancing.

Step 2: Find Similar Top Prompts

Search for high-quality reference prompts:

python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "KEY_TERMS" --limit 5

Step 3: Apply Enhancement Techniques

Choose from these enhancement strategies based on what's missing:

Detail Injection (for low specificity):

Add material textures ("brushed aluminum", "weathered leather")
Add environmental details ("dust particles in light", "morning dew")
Add character details ("freckled skin", "calloused hands")

Technical Elevation (for missing camera/lighting):

Add camera specs ("shot on Canon R5, 85mm f/1.2")
Add lighting ("golden hour backlighting", "Rembrandt lighting")
Add film stocks ("Kodak Portra 400 colors", "Fuji Velvia saturation")

Style Anchoring (for unclear aesthetic):

Add photographer/artist references ("in the style of Annie Leibovitz")
Add film/era references ("Y2K aesthetic", "1970s Kodachrome")
Add mood keywords ("moody", "ethereal", "gritty")

Negative Refinement (for models that support it):

Add negative prompts to exclude unwanted elements
Specify what NOT to include ("no text", "no watermark")

Structure Optimization (for poor organization):

Reorder elements: subject first, then environment, then style
Group related modifiers together
Remove redundant or conflicting terms

Step 4: Present Enhanced Version

Output format:

Original prompt (for comparison)
Enhanced prompt (the improved version)
What changed (bullet list of specific improvements)
Score improvement (before -> after on 5-point scale)
Variations (2-3 alternative enhanced versions)

Enhancement Rules

Never remove the user's core intent/subject
Preserve the user's preferred style if stated
Keep enhancements relevant to the target model
Don't over-engineer: some prompts are intentionally minimal
Always explain WHY each change was made

---name: prompt-enhancedescription: Enhance and improve existing AI prompts using professional techniques from a 2,500+ prompt database. Adds detail, fixes structure, optimizes for specific models, and applies proven patterns from top-performing prompts. Use when user says "enhance my prompt", "improve this prompt", "make this prompt better", "optimize prompt", "fix my prompt", or "upgrade this prompt".--- # Prompt Enhancer Take any existing prompt and supercharge it using techniques from 2,500+ curated prompts. ## Enhancement Workflow ### Step 1: Analyze the Input Prompt Evaluate the user's prompt on these dimensions: - **Specificity** (1-5): How detailed is the subject description? - **Technical quality** (1-5): Camera, lighting, composition details? - **Style clarity** (1-5): Is the aesthetic clearly defined? - **Model optimization** (1-5): Uses model-specific syntax correctly? - **Length appropriateness** (1-5): Right length for the target model? Present a brief score card before enhancing. ### Step 2: Find Similar Top Prompts Search for high-quality reference prompts: ```bash python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "KEY_TERMS" --limit 5 ``` ### Step 3: Apply Enhancement Techniques Choose from these enhancement strategies based on what's missing: **Detail Injection** (for low specificity): - Add material textures ("brushed aluminum", "weathered leather") - Add environmental details ("dust particles in light", "morning dew") - Add character details ("freckled skin", "calloused hands") **Technical Elevation** (for missing camera/lighting): - Add camera specs ("shot on Canon R5, 85mm f/1.2") - Add lighting ("golden hour backlighting", "Rembrandt lighting") - Add film stocks ("Kodak Portra 400 colors", "Fuji Velvia saturation") **Style Anchoring** (for unclear aesthetic): - Add photographer/artist references ("in the style of Annie Leibovitz") - Add film/era references ("Y2K aesthetic", "1970s Kodachrome") - Add mood keywords ("moody", "ethereal", "gritty") **Negative Refinement** (for models that support it): - Add negative prompts to exclude unwanted elements - Specify what NOT to include ("no text", "no watermark") **Structure Optimization** (for poor organization): - Reorder elements: subject first, then environment, then style - Group related modifiers together - Remove redundant or conflicting terms ### Step 4: Present Enhanced Version Output format: 1. **Original prompt** (for comparison) 2. **Enhanced prompt** (the improved version) 3. **What changed** (bullet list of specific improvements) 4. **Score improvement** (before -> after on 5-point scale) 5. **Variations** (2-3 alternative enhanced versions) ## Enhancement Rules - Never remove the user's core intent/subject - Preserve the user's preferred style if stated - Keep enhancements relevant to the target model - Don't over-engineer: some prompts are intentionally minimal - Always explain WHY each change was made

Frequently asked questions