Spectral Data Analysis & Digital Color Formulation
Analyze spectral data and optimize pigment formulations using CIE colorimetry
What You Can Do
You can rapidly analyze spectral reflectance data from spectrophotometers, interpret tristimulus values across multiple color spaces (Lab, LCh, RGB), and predict how formulations will appear under different illuminants. The skill calculates color differences using industry-standard metrics (ΔE 1976, ΔE94, ΔEcmc, ΔE00), identifies metamerism risks before production, and generates pigment blending recommendations backed by quantitative CIE analysis to hit your target tolerances.
Features
Process wavelength-by-wavelength data from spectrophotometer exports and extract actionable color metrics
Calculate how pigment formulations appear under D65, A, F2, and other standard lighting conditions to anticipate field performance
Identify formulations prone to color shifts under different lights and flag high-risk shade pairs before production
Compute ΔE values using 1976, 94, cmc, and 2000 standards against reference standards and validate against industry tolerances
Generate formulation DOE frameworks and blending ratios to hit target colors while minimizing cost and complexity
Translate between Lab, LCh, RGB, sRGB, and device-independent spaces for seamless workflow integration
Create technical color cards with spectral data, color coordinates, and metamerism annotations for regulatory and production use
Analyze unexpected color shifts, pinpoint which pigments are driving deviations, and recommend corrective blending adjustments
Example Output
Example 1: Spectral Analysis Report
Input: CSV of reflectance data (400–700 nm) for a cosmetic foundation shade.
Output:
- L*: 72.5 | a*: 2.1 | b*: 8.3 (D65, 2° observer)
- Metamerism risk under A illuminant: HIGH (ΔE00 = 4.2 vs. D65)
- Dominant pigment driver: Iron oxides (peak reflectance shift 580 nm)
- Recommendation: Increase titanium dioxide 0.5% to reduce warm undertone shift under incandescent light
Example 2: Pigment Formulation Matrix
Input: Target shade Lab 45 / 8 / 12 with ±1.5 ΔE tolerance.
Output:
| Formulation | TiO₂ % | Iron Oxide Y % | Iron Oxide R % | ΔE vs Target | Metamerism Risk |
|---|---|---|---|---|---|
| A | 8.0 | 2.2 | 0.8 | 0.6 | Low |
| B | 8.2 | 2.0 | 0.9 | 1.1 | Low |
| C | 7.8 | 2.4 | 0.7 | 1.3 | Medium |
Example 3: Multi-Illuminant Prediction
Input: Approved formulation spectral curve.
Output:
- D65 (daylight): L* 72.5 / a* 2.1 / b* 8.3 ✓
- A (incandescent): L* 73.1 / a* 2.8 / b* 9.7 (ΔE00 = 2.1) ⚠️
- F2 (fluorescent): L* 71.9 / a* 1.4 / b* 7.1 (ΔE00 = 1.5) ✓
- CRI concern: Mid-tone shift under warm lighting typical for this pigment blend
What's Included
- SKILL.md: Complete instruction file with CIE colorimetry principles, color space reference tables, and illuminant specifications
- Spectral Data Template: Standardized CSV import structure for spectrophotometer outputs (wavelength range, observer angle, illuminant)
- Color Difference Calculation Checklist: Step-by-step validation of ΔE metrics and tolerance thresholds for cosmetics, paints, and textiles
- Pigment Formulation Matrix Workflow: DOE framework template for systematically testing pigment ratios and documenting results
- Metamerism Risk Assessment Guide: Multi-illuminant prediction checklist and flagging criteria for production sign-off
Who It's For
- Color Scientists developing cosmetic foundations, lipsticks, and color cosmetics with shade range management
- Formulation Chemists optimizing pigment blends in paints, coatings, and industrial colorants
- Quality Assurance Managers validating color consistency across production batches and lighting environments
- R&D Managers in beauty, textiles, or coatings needing rapid spectral data interpretation and metamerism prediction
- Technical Documentation Specialists creating shade libraries and technical color cards for regulatory submission
Best For
- Processing raw spectrophotometer data and converting to actionable formulation insights
- Predicting color appearance shifts under different illuminants (daylight, incandescent, fluorescent)
- Identifying and mitigating metamerism failures before production launch
- Generating pigment blending DOE matrices to hit target color specs within tolerance
- Troubleshooting unexpected color shifts and recommending corrective formulation adjustments
- Creating multi-illuminant validated shade cards and technical color documentation
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You can input spectral reflectance data, Lab* values, and Delta E measurements to receive specific pigment concentration adjustments and blending ratios. The skill interprets color differences within product tolerances, diagnoses metamerism failures across light sources (D65, TL84, A), and prioritizes formulation changes when multiple adjustments are needed—all while maintaining regulatory compliance documentation.
Convert target Lab* values or spectral reflectance data into cost-optimized colorant recipes that maintain visual consistency under D65, A, F2, and F11 lighting. Evaluate metamerism risk between formulations, predict CIE ΔE values for QA acceptance criteria, and identify high-impact colorant combinations that reduce expensive ingredients while meeting brand color tolerances.
by skillslib