scientific-schematics
Create publication-quality scientific diagrams using Nano Banana 2 AI with smart iterative refinement. Uses Gemini 3.1 Pro Preview for quality review. Only regenerates if quality is below threshold for your document type. Specialized in neural network architectures, system diagrams, flowcharts, biological pathways, and complex scientific visualizations.
68
55%
Does it follow best practices?
Impact
95%
2.87xAverage score across 3 eval scenarios
Risky
Do not use without reviewing
Optimize this skill with Tessl
npx tessl skill review --optimize ./scientific-skills/scientific-schematics/SKILL.mdEvaluation results
85%
75%Journal Submission: Generate CONSORT Flow Diagram
Doc-type quality thresholds and review log
Uses generate_schematic.py
0%
100%
Correct doc-type flag
0%
100%
Correct journal threshold
0%
100%
Output to figures/ subfolder
0%
100%
API key via env var
0%
100%
Smart iteration explained
66%
100%
Max iterations constraint
0%
100%
Review log mentioned
0%
0%
100%
10%Generate Figures for an Academic Poster Presentation
Specific prompts and figures/ output organization
Poster doc-type used
0%
100%
Output in figures/ subfolder
100%
100%
Specific transformer prompt
100%
100%
Specific pathway prompt
100%
100%
Specific IoT prompt
100%
100%
Colorblind palette referenced
100%
100%
Prompt rationale explains specificity
100%
100%
figures/ location justified
100%
100%
No figure numbers in prompts
100%
100%
100%
100%Automate Figure Generation Pipeline for a Grant Proposal
Python API and iterative refinement
Uses ScientificSchematicGenerator
0%
100%
Uses generate_iterative() method
0%
100%
Grant doc-type or threshold
0%
100%
API key from environment
0%
100%
Max iterations set to 2
0%
100%
Max iterations limit explained
0%
100%
Reads final_score from results
0%
100%
Reads early_stop from results
0%
100%
Reads iterations list from results
0%
100%
Output to figures/ subfolder
0%
100%
- Repository
- K-Dense-AI/claude-scientific-skills
- Commit
25e1c0f
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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