Agent skill

Prompt Enhance

by AgriciDaniel in AgriciDaniel/claude-prompts

Enhance and improve existing AI prompts using professional techniques from a 2,500+ prompt database.

MITAuto-check passed

Install Prompt Enhance

skills CLI
$ npx skills add AgriciDaniel/claude-prompts --skill prompt-enhance -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install AgriciDaniel/claude-prompts prompt-enhance --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/AgriciDaniel/claude-prompts.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/prompt-enhance .claude/skills/prompt-enhance && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
prompt-enhance
GitHub stars
111
Token cost
~744 tokens
SKILL.md length
308 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Enhance and improve existing AI prompts using professional techniques from a 2,500+ prompt database.

  • Works in 4 steps: Analyze the Input Prompt → Find Similar Top Prompts → Apply Enhancement Techniques → …
  • User says enhance my prompt
  • SKILL.md covers Enhancement Workflow and Enhancement Rules
  • Calls python3

What it does

Prompt Enhance is an agent skill from AgriciDaniel/claude-prompts. 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".

Its SKILL.md is about 740 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

The repository describes itself as: AI prompt database and builder skill for Claude Code. 2,500+ curated prompts across 19 categories and 17 AI models. The licence is MIT.

When your agent uses it

  • User says enhance my prompt
  • Improve this prompt
  • Make this prompt better
  • Optimize prompt

Example prompts

  • “enhance my prompt”
  • “improve this prompt”
  • “make this prompt better”
  • “/prompt-enhance”

Requirements

  • Python 3

Workflow steps

4 steps, taken from the step headings in SKILL.md.

  1. Analyze the Input Prompt
  2. Find Similar Top Prompts
  3. Apply Enhancement Techniques
  4. Present Enhanced Version

What it can do on your machine

Read from SKILL.md and the folder at commit 23e8ff9. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • python3

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Prompt Enhance loads about 744 tokens when it runs. Until then it costs about 96 tokens; SKILL.md has 308 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~96
When it runs · the whole SKILL.md, loaded when a task matches
~744

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from AgriciDaniel/claude-prompts at commit 23e8ff9, republished under its MIT licence (© AgriciDaniel). 308 words, ~744 tokens.

Download SKILL.mdSave it as .claude/skills/prompt-enhance/SKILL.md (or your agent's skills folder).
name
prompt-enhance
description
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

© AgriciDaniel, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in skills/prompt-enhance of AgriciDaniel/claude-prompts.

Open the folder on GitHubat commit 23e8ff9

Compare with similar skills

Prompt Enhance next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Prompt Enhance compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Prompt Enhance this skillAgriciDaniel/claude-prompts111—~744Automated safety check: PassMIT
Image Enhancernexu-io/open-design100k—~332Automated safety check: PassApache-2.0
Image Enhancerdavila7/claude-code-templates33k15 repos~633Automated safety check: PassMIT
Enhance Promptnexu-io/open-design100k—~301Automated safety check: PassApache-2.0
Skill Improversickn33/agentic-awesome-skills47k2 repos~1.5kAutomated safety check: PassMIT
Improve Oaselastic/kibana21k—~4.8kAutomated safety check: PassCustom licence

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More from AgriciDaniel/claude-prompts

  • Prompt Adapt

    AgriciDaniel/claude-prompts

    Adapt and convert AI prompts between different models and platforms.

    111 GitHub stars~793 tokensUpdated 6 mo ago
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  • Prompt Build

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  • Prompt Engine

    AgriciDaniel/claude-prompts

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  • Prompt Library

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    Browse, filter, and explore a curated library of 2,500+ AI prompts organized by 19 categories, 17 models, and 4 output types.

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Questions about Prompt Enhance

What does Prompt Enhance do?

Enhance and improve existing AI prompts using professional techniques from a 2,500+ prompt database. Prompt Enhance is an agent skill from AgriciDaniel/claude-prompts. Enhance and improve existing AI prompts using professional techniques from a 2,500+ prompt database.

When should I use Prompt Enhance?

Prompt Enhance fits situations like: user says enhance my prompt; improve this prompt; make this prompt better; optimize prompt.

How do I install Prompt Enhance in Claude Code?

Run `npx skills add AgriciDaniel/claude-prompts --skill prompt-enhance -a claude-code`. Or copy the skill folder (skills/prompt-enhance in AgriciDaniel/claude-prompts) into .claude/skills/prompt-enhance in your project. Claude Code loads it when a task matches its description.

How do I install Prompt Enhance in Codex?

Run `npx skills add AgriciDaniel/claude-prompts --skill prompt-enhance -a codex`. Or copy the skill folder (skills/prompt-enhance in AgriciDaniel/claude-prompts) into .agents/skills/prompt-enhance in your project. Codex loads it when a task matches its description.

Can I use Prompt Enhance in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add AgriciDaniel/claude-prompts --skill prompt-enhance -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/prompt-enhance, .gemini/skills/prompt-enhance, .github/skills/prompt-enhance and .opencode/skills/prompt-enhance in your project.

What does Prompt Enhance need to run?

Going by SKILL.md and its folder, Prompt Enhance needs the command-line tools its instructions call (python3). Our summary lists: Python 3.

Does Prompt Enhance access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Prompt Enhance safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Prompt Enhance use?

Prompt Enhance is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Prompt Enhance use?

About 744 tokens (SKILL.md is roughly 3k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Prompt Enhance?

Skills that share tags, products or a category with Prompt Enhance: Image Enhancer (nexu-io/open-design, 100k stars), Image Enhancer (davila7/claude-code-templates, 33k stars), Enhance Prompt (nexu-io/open-design, 100k stars) and Skill Improver (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Prompt Enhance?

AgriciDaniel (a GitHub user) maintains it in AgriciDaniel/claude-prompts, which has 111 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on April 10, 2026.

Source: AgriciDaniel/claude-prompts on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.