Skip to content
Back to skills

Photo Pack Generator

ASecurity

Generate a pack of professional or aesthetic photos from a single reference image while preserving the exact identity of the person.

  • 2 stars
  • 0 votes
  • 0 copies
  • 8 views
  • Added September 29, 2026
ai-agentsgobashexpressrailsapi

Works with

  • api

Security analysis

A100/100

Pro scans all 2 files and shows the line behind each finding

Scanned September 29, 2026

npx -y skills add Anil-matcha/Generative-Media-Skills --skill photo-pack-generator --agent claude-code

Installs into .claude/skills of the current project.

Are you the author of Photo Pack Generator?

Add the live security badge to your README. It updates with every re-scan.

Security grade badge for Photo Pack Generator
[![Security: A — Skills Directory](https://www.skillsdirectory.com/api/skills/anil-matcha-photo-pack-generator/badge)](https://www.skillsdirectory.com/skills/anil-matcha-photo-pack-generator)

More formats (shields.io, HTML) on the badges page. Keep it an A: scan every change in CI with Pro.

Download with Pro
SKILL.md
---
name: muapi-photo-pack-generator
version: 0.1.0
description: Generate a pack of professional or aesthetic photos from a single reference image while preserving the exact identity of the person.
---

# 📸 Photo Pack Generator Expert Skill (Identity-Lock Edition)

Transform a single reference photo into a collection of themed images while maintaining **extremely high facial identity fidelity**.

This skill prioritizes **identity preservation first**, then applies stylistic transformations like LinkedIn portraits, dating photos, cinematic shots, or fantasy styles.

The system uses **Identity Lock Prompting** instead of describing the person, preventing the model from generating a new face.

---

# Core Principles

## 1️⃣ Identity Lock (MOST IMPORTANT)

The generated images must always depict **the same person from the reference image**.

All prompts MUST include identity lock instructions.

Required identity rules:

- Preserve the exact facial identity from the reference image
- Do not modify eye shape or spacing
- Do not modify nose structure
- Do not modify jawline or chin shape
- Do not modify cheekbones
- Do not modify face proportions
- Identity must remain identical to the reference photo

---

## 2️⃣ Vision-First Scene Analysis

The agent MUST analyze the reference image before generation.

However the analysis **must NOT describe the person** (age, ethnicity, hair etc).

Allowed analysis fields:

- head orientation
- facial angle
- expression
- lighting direction
- framing (portrait / half body / full body)

Example:

Head orientation: slight left tilt  
Expression: neutral friendly  
Lighting: soft frontal light  
Framing: head and shoulders portrait

---

# Agent Execution Flow

## Step 1 — Grounding Check

Ensure the user has provided a reference image.

Supported inputs:

- local image
- URL
- uploaded file

---

## Step 2 — Vision Analysis

Extract scene attributes only.

DO NOT describe:

- age
- ethnicity
- beard
- hair
- body type

Identity must come directly from the image.

---

## Step 3 — Category Selection

If the user does not specify a category suggest:

- LinkedIn
- Tinder
- OldMoney

---

## Step 4 — Prompt Construction

Use the reference image as the identity source.

Preserve the exact facial identity from the reference image.

Identity must remain identical to the reference photo.

Do not change:

- eye shape
- eye spacing
- nose structure
- jawline
- cheekbones
- face proportions

Maintain similar head orientation as the reference.

Scene example:

Outdoor café portrait  
Soft natural daylight  
35mm portrait lens  
Shallow depth of field  
Photorealistic skin texture

---

## Step 5 — Negative Prompt

Always include:

different person  
altered face  
changed facial features  
new identity  
generic face  
beautified face  
plastic skin  
face distortion  

---

## Step 6 — Execution

Example:

bash scripts/generate-pack.sh \
  --image "./my_face.jpg" \
  --category "LinkedIn" \
  --identity-lock true \
  --num 5

---

# Supported Categories

| Category | Best For | Aesthetic |
|---|---|---|
| LinkedIn | Professional | Studio |
| CEO | Founders | Office |
| Tinder | Dating | Lifestyle |
| OldMoney | Luxury | Estate |
| Cyberpunk | Fantasy | Neon |
| Fitness | Gym | Athletic |
| Travel | Social | Bali/Paris |
| 90s | Retro | Vintage |
| Holiday | Seasonal | Festive |

---

# Guardrails

## Fidelity First

Identity preservation is always more important than style.

## Never Re-Describe the Person

Avoid prompts like:

"Indian man in his 20s with short hair"

This causes the model to generate a **new face**.

Identity must come from the **reference image only**.

---

# Recommended Models

Best results with:

- nano-banana-edit

---

# Result

This system produces:

- consistent identity
- photorealistic images
- multi-style photo packs
- professional outputs

Files in this skill

  • SKILL.md3.8 KB
  • scripts/generate-pack.sh17.5 KB

Attribution

Is this your skill, or is something wrong with this listing? Request removal or report an issue. Author removals are honored within 72 hours.

Comments

Loading comments…

Newsletter

Get the weekly list of safe new skills, and the ones we pulled.