Skill: Process Analysis & Optimization for Extractive Metallurgy
Analyze ore processing data and optimize extractive metallurgy circuits
What You Can Do
You can rapidly analyze complex ore processing datasets to identify performance bottlenecks across flotation, leaching, smelting, and roasting circuits. Claude structures your operational data into diagnostic frameworks, interprets assay results in context of mineralogy and chemistry, and designs targeted experiments with predicted outcomes. You'll generate operator guides, troubleshooting trees, and technical documentation grounded in process chemistry—accelerating root-cause analysis and flowsheet optimization.
Features
Converts unorganized process data (assays, recovery curves, operational logs) into diagnostic frameworks for systematic analysis
Reasons across multiple data streams to pinpoint performance losses in concentration circuits
Creates A/B test protocols with hypothesis prediction and metallurgical outcome forecasting
Maps grade/recovery trade-offs and contextualizes results within mineralogy and process chemistry
Generates runbooks, troubleshooting trees, and training materials from lab data
Interprets recovery vs. grind size, pH, residence time, and reagent dosing to optimize circuit performance
Diagnoses concentrate grade drift and recommends targeted process adjustments with expected impacts
Designs evaluation protocols for new flotation reagents, depressants, or leaching chemicals
Example Output
Example 1: Flotation Circuit Troubleshooting
Input: 3 weeks of daily concentrate assays (Cu grade 28–31%), recovery curves, pH logs, and grinding mill throughput data.
Output:
- Root cause identified: Particle size distribution shift (P80 increased 15 μm due to worn mill liners)
- Recovery loss quantified: 2.8% to flotation kinetics degradation
- Recommendation: Replace mill liners, adjust slurry density to compensate
- Predicted outcome: Recovery recovery to 92.5% within 2 shifts
Example 2: Reagent A/B Test Protocol
Input: Current collector (xanthate) performance baseline; competing new collector option.
Output:
- Test design: 8-hour batch flotation cells, 3 repeats per dosage level, 100–300 g/t dosage range
- Measurable endpoints: Grade, recovery, flotation kinetics time-to-95%-recovery
- Prediction: New collector expected to improve kinetics by 15% if mineralogy similar to reference ore
- Operator runbook: Setup steps, pH/temperature control, visual assessment checkpoints
What's Included
- SKILL.md instruction file with process reasoning logic:
- Troubleshooting diagnostic framework checklist (data inputs → bottleneck identification → hypothesis testing):
- Experiment design template for new reagents, equipment changes, and circuit modifications:
- Operator runbook template to convert lab findings into step-by-step control procedures:
- Assay interpretation worksheet mapping grade/recovery trade-offs and process adjustments:
Who It's For
- Process metallurgists managing flotation, leaching, smelting, or roasting circuits
- Concentrate quality specialists diagnosing grade drift and recovery losses
- Plant process engineers troubleshooting yield and optimizing extraction flowsheets
- Mill shift supervisors implementing technical guidance and operator training
- Metallurgical technicians conducting experiments and analyzing assay data
Best For
- Yield and recovery loss diagnosis — Root-cause analysis using 2+ weeks of operational data
- Concentrate quality optimization — Grade/recovery trade-off mapping and process adjustment design
- Flotation kinetics tuning — Recovery vs. grind, pH, density, and residence time interpretation
- New reagent evaluation — A/B test protocol design and metallurgical outcome prediction
- Operator documentation — Converting lab results into runbooks and troubleshooting guides
- Circuit bottleneck identification — Multi-stage performance analysis across grinding, flotation, or leaching
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