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Textile Colorimetry & Dyebath Formulation Assistant

Convert spectral data into precise dye recipes and fastness predictions

3.7(35 reviews)
500+ downloads
Updated Sep 2026
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What You Can Do

You can input spectral reflectance data, customer color swatches, or CIE Lab* values and receive detailed dye combination recipes scaled to production batch sizes. The skill calculates color differences (ΔE) against standards, predicts fastness performance across light, wash, and crocking exposure, flags metamerism risks, and identifies incompatible dye class combinations—all structured for immediate handoff to production teams.

Features

CIE L*a*b* parsing and spectral reflectance interpretation

converts raw colorimetric data into actionable color specifications

ΔE calculation and tolerance assessment

compares customer samples against internal standards with pass/fail metrics

Dye combination matrix optimization

identifies compatible dye classes and weight percentages for target hue and saturation

Fastness prediction framework

estimates light, wash, and crocking fastness based on dye chemistry and fiber type

Batch scaling and recipe generation

produces production-ready formulations with material weights, temperatures, and timing

Metamerism and compatibility flagging

alerts to potential color shifts under different light sources and dye interaction risks

Technical brief templating

exports color properties, fastness data, and batch notes for sales and quality assurance handoff

Multi-fiber type handling

adjusts recommendations for cotton, polyester, wool, and blend substrates

Example Output

Example 1: Customer Color Matching

Input: L* 45.2, a* 12.8, b* 28.5 (customer swatch)

Output:

  • Color Match Assessment: ΔE 1.2 vs. internal standard (PASS)
  • Dye Recipe: 2.1% Acid Red 114, 0.8% Acid Yellow 25, 0.3% Acid Blue 113
  • Fastness Prediction: Light (3-4), Wash (4), Crocking (3-4)
  • Flags: Moderate metamerism risk under fluorescent lighting

Example 2: Production Batch Formulation

Input: 500 kg cotton dyebath, target L* 68, a* -2, b* 18 (khaki tone)

Output:

  • Scaled Recipe: 10.5 kg Reactive Yellow 145, 2.0 kg Reactive Orange 16, salt/alkali buffers
  • Process: 60°C start, 1.5°C/min ramp to 95°C, 60 min hold
  • Fastness: Light (5), Wash (4-5), Crocking (4)
  • Batch Notes: Stir at 8 rpm minimum; monitor pH 9.5-10.2

What's Included

  • SKILL.md instruction file with colorimetry workflows and CIE standards reference:
  • Spectral Data Template: CSV/JSON format for L*a*b*, spectral reflectance, and measurement conditions
  • Dye Combination Matrix: common dye class compatibility chart (acid, reactive, disperse, vat) with fastness benchmarks
  • Batch Scaling Worksheet: formulas for converting lab recipes to production volumes with temperature/time adjustments
  • Fastness Assessment Checklist: light/wash/crocking evaluation framework keyed to dye chemistry

Who It's For

  • Color scientists and spectrophotometrists managing textile dye formulations
  • Textile production managers translating lab data into batch recipes
  • Quality assurance teams evaluating color consistency and fastness compliance
  • Sales engineers communicating color properties and limitations to customers
  • Process chemists troubleshooting batch variations and shade drift

Best For

  • Converting customer color swatches into production-ready dye recipes
  • Calculating color differences (ΔE) against internal standards and tolerances
  • Predicting and assessing lightfastness, washfastness, and crocking performance
  • Optimizing dye combinations for target hue, saturation, and fastness across fiber types
  • Generating technical briefs and batch documentation for production and quality teams

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