π¬ From the Open Minis Telegram community Β· 2026-05-02
You want to know which colors and styles suit you, but professional personal-color consultations are expensive and inconvenient to book.
Upload a selfie and ask Minis to assess four dimensions: warm/cool undertone, lightness, chroma, and contrast. The workflow classifies one of twelve seasonal types and generates two visual reports:
- Color Diagnosis Card: color coordinates plus best colors, neutrals, accents, and colors to avoid
- Personal Image Report: outfit recommendations for commute, casual, social, business, weekend, and vacation settings; makeup palette; hairstyle and hair color; accessories, glasses, and contact-lens suggestions
The workflow works for all genders.
| Skill | Purpose | Availability |
|---|---|---|
personal-color-analysis |
Analyze the selfie and produce seasonal-color recommendations | Contributor-provided custom skill; not currently in the public MinisSkills repository |
codex-image |
Generate the diagnosis cards and visual report | Available in the public MinisSkills repository |
(Attach a front-facing selfie taken in natural light.)
Analyze my personal color season and generate a color diagnosis card and style report.
- Obtain or create the custom
personal-color-analysisskill; it is not currently published inOpenMinis/MinisSkills - Install the public
codex-imageskill - Sign in to a ChatGPT account in the Minis browser;
codex-imagenormally obtains and securely caches authentication automatically, so manual token setup is not required - Use a front-facing selfie in natural light, with light or no makeup and no glasses
- Twelve-season coverage: Spring (Light/Bright/Soft), Summer (Light/Soft/Cool), Autumn (Soft/Warm/Deep), and Winter (Bright/Cool/Deep).
- Ask Minis to produce only one section, such as outfit recommendations, when you do not need the full report.
From the Open Minis Telegram community
Original sharer: ιθεζ»΄ε°θθ
2026-05-02
Checked against OpenMinis/MinisSkills commit 3993f5ab0a0ff204d774da7a5cf27ea281e7b021 on 2026-07-27.



