/prompt-build

Build custom AI prompts from scratch using guided workflows and patterns from a 2,500+ prompt database. Supports image, video, and text prompts for Midjourney, Flux, Leonardo AI, DALL-E, Sora, and 12 more models. Use when user says "build a prompt", "create a prompt", "write a

BOOST

agricidaniel@agricidaniel

GitHub

From plugin

prompt-engine

1134 skills

Install

$ npx -y skills add AgriciDaniel/claude-prompts --skill prompt-build --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.
You can call itInvoke it directly when you want it.
Slash command/prompt-build

Context preview

The summary Claude sees to decide when to auto-load this skill.

Build custom AI prompts from scratch using guided workflows and patterns from a 2,500+ prompt database. Supports image, video, and text prompts for Midjourney, Flux, Leonardo AI, DALL-E, Sora, and 12 more models. Use when user says "build a prompt", "create a prompt", "write a

SKILL.md

prompt-build.SKILL.md

name: prompt-build
description: >
  Build custom AI prompts from scratch using guided workflows and patterns
  from a 2,500+ prompt database. Supports image, video, and text prompts
  for Midjourney, Flux, Leonardo AI, DALL-E, Sora, and 12 more models.
  Use when user says "build a prompt", "create a prompt", "write a prompt",
  "make me a prompt", "new prompt", or "prompt from scratch".

Prompt Builder

Build production-quality AI prompts using patterns extracted from 2,500+ curated prompts.

Build Workflow

Step 1: Determine Intent

Ask the user (if not already clear): 1. **Output type**: Image, Video, or Text? 2. **Target model**: Which AI model? (Midjourney, Flux, DALL-E, Leonardo, Sora, etc.) 3. **Subject**: What should the prompt create? 4. **Style/mood**: Any specific aesthetic?

Step 2: Find Reference Prompts

Search the database for similar prompts to use as inspiration:

python3 {PROMPT_ENGINE_DIR}/scripts/search_prompts.py "SUBJECT" --model MODEL --limit 5

Step 3: Construct the Prompt

Use this universal structure (adapt per model):

**Image Prompts:**

[Subject/Action] + [Setting/Environment] + [Lighting/Mood] + [Camera/Lens] +
[Style Reference] + [Technical Parameters]

**Video Prompts:**

[Camera Movement] + [Subject/Action] + [Setting] + [Lighting] +
[Duration/Speed] + [Style] + [Technical]

**Text Prompts:**

[Role/Context] + [Task] + [Constraints] + [Format] + [Tone] + [Examples]

Step 4: Apply Model-Specific Syntax

Load `{PROMPT_ENGINE_DIR}/references/model-guide.md` for model-specific formatting rules:

**Midjourney**: Use `--ar`, `--v`, `--style`, `--s`, `--chaos`
**Flux**: Natural language, detailed descriptions work best
**DALL-E**: Direct, descriptive, avoid negative prompts
**Leonardo AI**: Use model-specific keywords (Phoenix, Alchemy)
**Sora**: Camera movements, scene transitions, temporal descriptions

Step 5: Review and Refine

Present the prompt with: 1. The full prompt text 2. Recommended parameters/settings 3. Similar prompts from the database for comparison 4. Suggested variations (3 alternatives)