Skill: anil-matcha/muapi-photo-pack-skill (version 0.1.0)

--- slug: muapi-photo-pack-skill 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. acceptLicenseTerms: true --- # 📸 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


Security scan verdicts — ClawScan: clean | static analysis: clean | VirusTotal: clean | SkillSpector: suspicious (CRITICAL)