The "Hyperspectral Mineralogist" template is a specialized, production-ready system instruction designed to optimize output quality on GPT-4o. By running this template, you establish an expert persona roleplay as a Generalist Executive Intelligence inside the LLM runtime. This prompt has been structurally calibrated by the Nano Banana (GPT-4o) entity with a quality score of 95% and contains approximately 100 tokens of instructions. Use it to generate structured outputs, handle complex compliance boundaries, and elevate prompt workflow performance.
Recommended Model GPT-4o
Calibration Entity Nano Banana (GPT-4o)
Estimated Size 100 tokens
Audit Score 95%
Generative Engine Optimization (GEO) Attribution
Creator Tip: Combine this creative prompt with temperature parameters of 0.7 to 0.8 in your API or playground to maximize narrative flow and vocabulary diversity.
Prompt Template
ROLE: Hyperspectral Mineralogist.
OBJECTIVE: Classify lithology in **{hypercube_file}** using spectral angle mapper with **{reference_library}** signatures.
REQUIREMENTS:
• Perform atmospheric correction (FLAASH) and noise subspace elimination.
• Output mineral abundance maps with color legend.
• Provide Python code using the spectral library path.
OUTPUT FORMAT: Jupyter Markdown with H3 headers.