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@83e2083

Master prompt-engineer for photoreal, artifact-free AI still images on ANY tool (Reve, Midjourney, Flux, GPT-image, Imagen, Nano Banana, Stable Diffusion). Builds prompts that hit National-Geographic-grade realism — true skin/fur texture (no plastic), correct anatomy/hands/faces, physically coherent light/shadows/reflections, clean legible text — while engineering deliberate visual IMPACT (color contrast, composition, awe/adrenaline, a striking point of view). Runs a gated process: lock the point-of-view and build the 8-block Capture Stack BEFORE generating, then run a forensic pre-submit inspection against the known artifact list. Use whenever the goal is a single still image that must look REAL and hold up under close inspection — contest entries, hero shots, product/character/wildlife/architecture/concept art, or any time AI images come out plastic, distorted, or fake. Composes with nano-banana-2 (execution) and director (motion). Hebrew triggers: תמונה, תמונות, פוטוריאליזם, ריאליזם, לייצר תמונה, פרומפט לתמונה, בלי עיוותים, עור פלסטיק, ידיים מעוותות, פרצוף מעוות, חדות, נשיונל ג'יאוגרפיק.

Use this Skill: https://skilld.dev/gh/hoodini/ai-agents-skills/image-master

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references11-finishing-layer.md

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11 — The 10/10 Finishing Layer: Difference-Makers + the Brain Hooks

Accuracy earns a 9. These micro-details and emotional levers are the gap between "great AI image" and "indistinguishable AND unforgettable." Two halves: REALISM finishers (so no one can tell it's AI) and EMOTIONAL hooks (so the brain can't look away). This is selection and precision, NOT superlative-stacking — piling on "ultra-detailed, 8k, masterpiece" overcooks and reads fake. Name specific physical detail + ONE emotional lever, then re-roll and pick the frame where the eye and the tear actually land.

A. Realism difference-makers

1. The eye — a wet fisheye mirror (the single biggest "is it real?" tell)

A real eye is a moist, curved mirror. Spell it out:

  • the key light / scene reflected as a layered, curved reflection that wraps the cornea — never a flat dot;
  • a secondary dim reflection of the environment (the city, the sky) lower in the eye;
  • the wet meniscus / waterline on the lower lid catching a thin highlight;
  • glassy moist surface, faint red inner corner (caruncle), subtle veining, the dilated pupil, a pin-sharp primary catchlight.

the interception mirrored as a layered curved reflection across the wet cornea, a fainter reflection of the city lower in the eye, a moist highlight on the lower waterline, glassy wet surface, dilated pupil, faint red inner corner, razor-sharp focus on the eye

2. Eye expression — the muscles of feeling

Emotion lives in the eye muscles. Name the exact micro-expression: inner brows drawn up and together (grief), tension in the lower lid, a fixed wide stare (fear), the slightly unfocused look of shock — not "sad eyes."

3. Tears — physics, not cartoon drops

a tear welling along the lower lid as a trembling meniscus, surface tension holding it, one tear breaking free and tracking down, catching a highlight, darkening a wet trail through the fur or dust — never a uniform round droplet.

4. Fur at strand level + focus falloff (selective, not uniform)

The tell is selective sharpness: individual hero hairs in razor focus on the plane of the eye, backlit rim-separation where each strand catches light against the dark, fine flyaway hairs, directional fur flow, a few matted or oily clumps, dust caught in the coat — focus falling off softly behind the plane of focus (real shallow depth of field, creamy bokeh). Uniform edge-to-edge sharpness reads as AI; a real lens has ONE sharp plane.

5. True, non-airbrushed colour

muted, slightly desaturated filmic colour, natural tonal variation within every surface, mixed colour temperature (warm key vs cool shadow), film halation on highlights, subtle colour imperfection and grain — none of the over-clean glossy uniform saturation of CGI. Real photos are a little muted and imperfect; perfect vivid uniform colour is the AI sheen.

6. Micro-imperfection

slight natural asymmetry, a small scar or nick, uneven wear, a fleck of dirt, a stray hair — the things AI smooths away are exactly what sell reality.

B. Emotional hooks — honest levers (use ONE or two per image; don't pile)

  • Direct gaze / eye contact — a subject looking into the lens engages the social brain and creates "being seen"; the most reliable connection hook (the closer).
  • Neoteny / baby schema (Lorenz's Kindchenschema) — large eyes, rounded head, small features trigger the caregiving/protection response. Cubs, kits, a dog's big wet eyes — lean in for vulnerability.
  • Tears + distress signal — a visible tear anthropomorphises and triggers empathy hard.
  • The identifiable individual — ONE clear subject evokes far more empathy than a crowd (the identifiable-victim effect). Isolate the subject.
  • Emotional contagion — we mirror a legible expression; it infects the viewer.
  • Vulnerability + visible threat — small/helpless creature plus a clear danger = the protective ache.
  • The peak moment — the single most intense instant (peak-end: viewers remember the peak and the end).
  • Juxtaposition — tenderness against violence in one frame deepens both.

Honest caveat (no hype): these are real attentional and empathy levers, not magic "brain rewiring." The image still has to be true and well-made — the lever focuses an emotion the scene has already earned. Don't claim or chase pseudo-neuroscience; engineer the gaze, the tear and the vulnerability, and the feeling follows.

C. The FINISHING STACK (append to any prompt)

Hyper-detailed wet eyes: the key light and the scene reflected as a layered curved reflection across the moist cornea, a fainter city/sky reflection lower in the eye, a thin highlight on the lower waterline, dilated pupil, faint red inner corner, razor-sharp focus on the eye; [if emotional: a tear welling as a trembling meniscus and tracking down, darkening the fur]. Strand-level fur — individual hero hairs in razor focus with backlit rim-separation, fine flyaways, directional flow, focus falling off softly behind the eye (real shallow depth of field). True muted filmic colour with natural tonal variation and mixed colour temperature — no glossy uniform CGI saturation, nothing airbrushed. Slight natural asymmetry and micro-imperfection. Indistinguishable from a real photograph.

Workflow reality: the 10/10 frame is found, not just prompted — generate a batch, then choose the single frame where the eye-reflection, the tear and the expression all land. The winner is a pick, not a guarantee.

Source: SKILL.md on GitHub

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    The skill is a comprehensive instructional framework for AI image prompt engineering. It consists entirely of Markdown documentation and does not contain any executable code, scripts, or mechanisms for data exfiltration. All external references are informative and point to legitimate AI and photography resources.

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Signed by skilld at 83e2083. This ties the file your Agent reads to that commit on GitHub. It does not review the instructions.

Last checked against GitHub 2 days ago.

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