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Generate a pack of professional or aesthetic photos from a single reference image while preserving the exact identity of the person.
Passed 21 of 22 test cases with the skill, and 7 of 22 without it.
and 21 more in the full report
14 fixed7 passed either way1 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
Write the bash execution command to run a 5-image 90s vintage style pack using reference image `./retro_me.png`.
| Checked | Without skill | With skill |
|---|---|---|
| Includes flag --category "90s". | Missed | Passed |
| Includes flag --num 5. | Missed | Passed |
The instructions your model reads when the skill loads.
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.
The generated images must always depict the same person from the reference image.
All prompts MUST include identity lock instructions.
Required identity rules:
The agent MUST analyze the reference image before generation.
However the analysis must NOT describe the person (age, ethnicity, hair etc).
Allowed analysis fields:
test cases passed, vs 7 / 22 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.