Plant Bouquet Warm Lamp (your example vibe, adult-safe)

Prompt

{
  "category": "PLANTS_BOUQUET_WARM_LAMP",
  "subject": {
    "demographics": "Adult woman, 21-27, Turkish-looking, youthful vibe but clearly adult.",
    "hair": {
      "color": "Dark brown",
      "style": "Natural, soft, slightly tousled, casual asymmetry",
      "texture": "Realistic strands, flyaways, roots visible",
      "movement": "Falls naturally over shoulders; small motion blur allowed in ends"
    },
    "face": {
      "shape": "Oval, soft jawline",
      "eyes": "Expressive, dark irises, crisp catchlights",
      "nose": "Defined bridge, natural highlight",
      "lips": "Soft rosy tint, natural texture lines visible",
      "skin_details": "Real pores, slight natural blush, no airbrushing",
      "micro_details": "Fine hair strands across forehead, subtle imperfections preserved"
    },
    "clothing": {
      "outfit": "Trendy black casual outfit, no text/logos",
      "fabric": "Tactile textile weave visible, gentle wrinkles"
    },
    "accessories": {
      "jewelry": ["Silver hoop earrings"]
    }
  },
  "pose": {
    "type": "Candid lifestyle portrait",
    "orientation": "Half-body",
    "head_position": "Slight tilt; subtle glance slightly left of lens then back to lens feel",
    "hands": "Holding bouquet wrapped in kraft paper; fingers natural, joints correct",
    "gaze": "Warm, lively eye contact",
    "expression": "Sweet confident smile"
  },
  "setting": {
    "environment": "Indoor plant corner",
    "background_elements": [
      "Many green plants layered foreground/midground/background",
      "Warm orange lamp bulb behind subject creating halo glow",
      "Kraft paper bouquet wrap: creases, twine detail, tactile texture"
    ],
    "depth": "Foreground leaf bokeh, subject sharp, background lamp bloom"
  },
  "camera": {
    "shot_type": "Half-body portrait",
    "angle": "Slightly off-axis, casual handheld",
    "focal_length_equivalent": "26mm iPhone wide look",
    "framing": "4:5, asymmetrical composition",
    "focus": "Eyes sharp, bouquet slightly softer at edges"
  },
  "lighting": {
    "source": "Soft warm key + orange tungsten practical behind",
    "direction": "Warm side light casts intricate leaf-shadow patterns across face (subtle, flattering)",
    "highlights": "Gentle highlight on hair and cheekbones",
    "shadows": "Nuanced warm shadows, comforting atmosphere",
    "quality": "Soft, warm, tactile"
  },
  "mood_and_expression": {
    "tone": "Cute-relaxed, cozy, candid",
    "expression": "Lively eyes, soft smile",
    "atmosphere": "Immersive, spontaneous"
  },
  "style_and_realism": {
    "style": "Photorealistic iPhone snapshot vibe",
    "fidelity": "High skin and hair detail, no smoothing",
    "imperfections": "Slight motion blur away from face, mild noise"
  },
  "technical_details": {
    "aspect_ratio": "4:5",
    "resolution": "High resolution",
    "noise": "Slight phone sensor noise",
    "composition": "Imperfect candid framing (slightly awkward angle) but still aesthetic"
  },
  "constraints": {
    "adult_only": true,
    "no_text": true,
    "no_logos": true,
    "no_watermarks": true,
    "single_subject_only": true,
    "do_not_show_phone": true
  },
  "negative_prompt": [
    "cgi", "cartoon", "anime", "plastic skin", "over-smoothing",
    "extra fingers", "warped hands", "duplicate person",
    "readable text", "logos", "watermark"
  ]
}

Copy prompt

Context cost: ≈843 tokens when used.

Why this score

Quality checklist

• ✗ Describes the subject: no
• ✓ Names a style: yes
• ✓ Specifies lighting: yes
• ✓ Specifies camera or composition: yes
• ✓ Sets quality or detail: yes
• ✓ Gives size, duration or parameters: yes

The checklist is automatic and applies the same rules to every prompt. It checks structure, not whether the output is good. Prompt scores aren't comparable with tool scores. How we rank

Security

Scanned Nov 4, 2026 at the text shown on this page, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

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