// Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes.
Search 78 public scientific, biomedical, materials science, and economic databases via REST APIs. Covers physics/astronomy (NASA, NIST, SDSS, SIMBAD), earth/environment (USGS, NOAA, EPA), chemistry/drugs (PubChem, ChEMBL, DrugBank, FDA, KEGG, ZINC, BindingDB), materials (Materials Project, COD), biology/genomics (Reactome, UniProt, STRING, Ensembl, NCBI Gene, GEO, GTEx, PDB, AlphaFold, InterPro, BioGRID, Gene Ontology, dbSNP, gnomAD, ENCODE, Human Protein Atlas, Human Cell Atlas), disease/clinical (COSMIC, Open Targets, ClinicalTrials.gov, OMIM, ClinVar, GDC/TCGA, cBioPortal, DisGeNET, GWAS Catalog), regulatory (FDA, USPTO, SEC EDGAR), economics/finance (FRED, World Bank, US Treasury), demographics (US Census, Eurostat, WHO). Use when looking up compounds, genes, proteins, pathways, variants, clinical trials, patents, economic indicators, or any public database API query.
Operator toolkit for nf-core/pacsomatic matched tumor-normal workflows from BAM inputs. Use this skill when the user needs to validate run inputs, generate pacsomatic-compliant samplesheets, prepare reproducible Nextflow launch artifacts, run locally or submit to schedulers (LSF/Slurm/PBS/SGE), and triage execution failures. Triggers on requests to run pacsomatic, prepare launch commands/scripts, perform dry-run checks, or troubleshoot pipeline startup and scheduler submission errors.
Access comprehensive LaTeX templates, formatting requirements, and submission guidelines for major scientific publication venues (Nature, Science, PLOS, IEEE, ACM), academic conferences (NeurIPS, ICML, CVPR, CHI), research posters, and grant proposals (NSF, NIH, DOE, DARPA). This skill should be used when preparing manuscripts for journal submission, conference papers, research posters, or grant proposals and need venue-specific formatting requirements and templates.
Look up current research information using parallel-cli search (primary, fast web search), the Parallel Chat API (deep research), or Perplexity sonar-pro-search (academic paper searches). Automatically routes queries to the best backend. Use for finding papers, gathering research data, and verifying scientific information. Note: query text is transmitted to api.parallel.ai (PARALLEL_API_KEY) and, for academic searches, to openrouter.ai (OPENROUTER_API_KEY).
Use when the user is doing AI/ML work in a scientific domain — biology, chemistry, physics, astronomy, climate, genomics, materials science, medicine, ecology, energy, conservation, engineering, mathematics, scientific reasoning, drug discovery, protein design, weather modeling, theorem proving, single-cell, PDE solving, or anything similar. Hugging Science (huggingscience.co) is a curated catalog of scientific datasets, models, blog posts, and interactive Spaces; the `hugging-science` org on Hugging Face hosts community datasets, models, and demo Spaces. This skill helps you discover the right resource AND actually use it — loading datasets via `datasets`, running models via `transformers` or the HF Inference API, calling Spaces like BoltzGen via `gradio_client`, and citing blog posts for methodology. Trigger this skill whenever a user mentions a scientific ML task, asks for "a dataset/model for X" where X is a scientific topic, wants to fine-tune on scientific data, asks about protein / molecule / genome /
Build clinical/healthcare deep-learning pipelines with PyHealth — loading EHR/signal/imaging datasets (MIMIC-III/IV, eICU, OMOP, SleepEDF, ChestXray14, EHRShot), defining tasks (mortality, readmission, length-of-stay, drug recommendation, sleep staging, ICD coding, EEG events), instantiating models (Transformer, RETAIN, GAMENet, SafeDrug, MICRON, StageNet, AdaCare, CNN/RNN/MLP), training with the PyHealth Trainer, computing clinical metrics, and using medical code utilities (ICD/ATC/NDC/RxNorm lookup and cross-mapping). Use this skill whenever the user mentions PyHealth, MIMIC, eICU, OMOP, EHR modeling, clinical prediction, drug recommendation, sleep staging, medical code mapping, ICD/ATC codes, or any healthcare ML pipeline that fits the dataset → task → model → trainer → metrics pattern, even if "PyHealth" isn't named explicitly.
| name | infographics |
| description | Create professional infographics using Nano Banana Pro AI with smart iterative refinement. Uses Gemini 3 Pro for quality review. Integrates research-lookup and web search for accurate data. Supports 10 infographic types, 8 industry styles, and colorblind-safe palettes. |
| allowed-tools | Read Write Edit Bash |
Infographics are visual representations of information, data, or knowledge designed to present complex content quickly and clearly. This skill uses Nano Banana Pro AI for infographic generation with Gemini 3 Pro quality review and Perplexity Sonar for research.
How it works:
Quality Thresholds by Document Type:
| Document Type | Threshold | Description |
|---|---|---|
| marketing | 8.5/10 | Marketing materials - must be compelling |
| report | 8.0/10 | Business reports - professional quality |
| presentation | 7.5/10 | Slides, talks - clear and engaging |
| social | 7.0/10 | Social media content |
| internal | 7.0/10 | Internal use |
| draft | 6.5/10 | Working drafts |
| default | 7.5/10 | General purpose |
Simply describe what you want, and Nano Banana Pro creates it.
Generate any infographic by simply describing it:
# Generate a list infographic (default threshold 7.5/10)
python skills/infographics/scripts/generate_infographic.py \
"5 benefits of regular exercise" \
-o figures/exercise_benefits.png --type list
# Generate for marketing (highest threshold: 8.5/10)
python skills/infographics/scripts/generate_infographic.py \
"Product features comparison" \
-o figures/product_comparison.png --type comparison --doc-type marketing
# Generate with corporate style
python skills/infographics/scripts/generate_infographic.py \
"Company milestones 2010-2025" \
-o figures/timeline.png --type timeline --style corporate
# Generate with colorblind-safe palette
python skills/infographics/scripts/generate_infographic.py \
"Heart disease statistics worldwide" \
-o figures/health_stats.png --type statistical --palette wong
# Generate WITH RESEARCH for accurate, up-to-date data
python skills/infographics/scripts/generate_infographic.py \
"Global AI market size and growth projections" \
-o figures/ai_market.png --type statistical --research
What happens behind the scenes:
Smart Iteration Benefits:
Output: Versioned images plus a detailed review log with quality scores, critiques, and early-stop information.
Use the infographics skill when:
Use scientific-schematics instead for:
--research)When creating infographics that require accurate, up-to-date data, use the --research flag to automatically gather facts and statistics using Perplexity Sonar Pro.
# Research and generate statistical infographic
python skills/infographics/scripts/generate_infographic.py \
"Global renewable energy adoption rates by country" \
-o figures/renewable_energy.png --type statistical --research
# Research for timeline infographic
python skills/infographics/scripts/generate_infographic.py \
"History of artificial intelligence breakthroughs" \
-o figures/ai_history.png --type timeline --research
# Research for comparison infographic
python skills/infographics/scripts/generate_infographic.py \
"Electric vehicles vs hydrogen vehicles comparison" \
-o figures/ev_hydrogen.png --type comparison --research
The research phase automatically:
Enable research (--research) for:
Skip research for:
When research is enabled, additional files are created:
{name}_research.json - Raw research data and sources--type statistical)Best for: Presenting numbers, percentages, survey results, and quantitative data.
Key Elements: Charts (bar, pie, line, donut), large numerical callouts, data comparisons, trend indicators.
python skills/infographics/scripts/generate_infographic.py \
"Global internet usage 2025: 5.5 billion users (68% of population), \
Asia Pacific 53%, Europe 15%, Americas 20%, Africa 12%" \
-o figures/internet_stats.png --type statistical --style technology
--type timeline)Best for: Historical events, project milestones, company history, evolution of concepts.
Key Elements: Chronological flow, date markers, event nodes, connecting lines.
python skills/infographics/scripts/generate_infographic.py \
"History of AI: 1950 Turing Test, 1956 Dartmouth Conference, \
1997 Deep Blue, 2016 AlphaGo, 2022 ChatGPT" \
-o figures/ai_history.png --type timeline --style technology
--type process)Best for: Step-by-step instructions, workflows, procedures, tutorials.
Key Elements: Numbered steps, directional arrows, action icons, clear flow.
python skills/infographics/scripts/generate_infographic.py \
"How to start a podcast: 1. Choose your niche, 2. Plan content, \
3. Set up equipment, 4. Record episodes, 5. Publish and promote" \
-o figures/podcast_process.png --type process --style marketing
--type comparison)Best for: Product comparisons, pros/cons, before/after, option evaluation.
Key Elements: Side-by-side layout, matching categories, check/cross indicators.
python skills/infographics/scripts/generate_infographic.py \
"Electric vs Gas Cars: Fuel cost (lower vs higher), \
Maintenance (less vs more), Range (improving vs established)" \
-o figures/ev_comparison.png --type comparison --style nature
--type list)Best for: Tips, facts, key points, summaries, quick reference guides.
Key Elements: Numbered or bulleted points, icons, clear hierarchy.
python skills/infographics/scripts/generate_infographic.py \
"7 Habits of Highly Effective People: Be Proactive, \
Begin with End in Mind, Put First Things First, Think Win-Win, \
Seek First to Understand, Synergize, Sharpen the Saw" \
-o figures/habits.png --type list --style corporate
--type geographic)Best for: Regional data, demographics, location-based statistics, global trends.
Key Elements: Map visualization, color coding, data overlays, legend.
python skills/infographics/scripts/generate_infographic.py \
"Renewable energy adoption by region: Iceland 100%, Norway 98%, \
Germany 50%, USA 22%, India 20%" \
-o figures/renewable_map.png --type geographic --style nature
--type hierarchical)Best for: Organizational structures, priority levels, importance ranking.
Key Elements: Pyramid or tree structure, distinct levels, size progression.
python skills/infographics/scripts/generate_infographic.py \
"Maslow's Hierarchy: Physiological, Safety, Love/Belonging, \
Esteem, Self-Actualization" \
-o figures/maslow.png --type hierarchical --style education
--type anatomical)Best for: Explaining complex systems using familiar visual metaphors.
Key Elements: Central metaphor image, labeled parts, connection lines.
python skills/infographics/scripts/generate_infographic.py \
"Business as a human body: Brain=Leadership, Heart=Culture, \
Arms=Sales, Legs=Operations, Skeleton=Systems" \
-o figures/business_body.png --type anatomical --style corporate
--type resume)Best for: Personal branding, CVs, portfolio highlights, professional achievements.
Key Elements: Photo area, skills visualization, timeline, contact info.
python skills/infographics/scripts/generate_infographic.py \
"UX Designer resume: Skills - User Research 95%, Wireframing 90%, \
Prototyping 85%. Experience - 2020-2022 Junior, 2022-2025 Senior" \
-o figures/resume.png --type resume --style technology
--type social)Best for: Instagram, LinkedIn, Twitter/X posts, shareable graphics.
Key Elements: Bold headline, minimal text, maximum impact, vibrant colors.
python skills/infographics/scripts/generate_infographic.py \
"Save Water, Save Life: 2.2 billion people lack safe drinking water. \
Tips: shorter showers, fix leaks, full loads only" \
-o figures/water_social.png --type social --style marketing
--style)| Style | Colors | Best For |
|---|---|---|
corporate | Navy, steel blue, gold | Business reports, finance |
healthcare | Medical blue, cyan, light cyan | Medical, wellness |
technology | Tech blue, slate, violet | Software, data, AI |
nature | Forest green, mint, earth brown | Environmental, organic |
education | Academic blue, light blue, coral | Learning, academic |
marketing | Coral, teal, yellow | Social media, campaigns |
finance | Navy, gold, green/red | Investment, banking |
nonprofit | Warm orange, sage, sand | Social causes, charities |
# Corporate style
python skills/infographics/scripts/generate_infographic.py \
"Q4 Results" -o q4.png --type statistical --style corporate
# Healthcare style
python skills/infographics/scripts/generate_infographic.py \
"Patient Journey" -o journey.png --type process --style healthcare
--palette)| Palette | Colors | Description |
|---|---|---|
wong | Orange, sky blue, green, blue, vermillion | Most widely recommended |
ibm | Ultramarine, indigo, magenta, orange, gold | IBM's accessible palette |
tol | 12-color extended palette | For many categories |
# Wong's colorblind-safe palette
python skills/infographics/scripts/generate_infographic.py \
"Survey results by category" -o survey.png --type statistical --palette wong
┌─────────────────────────────────────────────────────┐
│ 1. Generate infographic with Nano Banana Pro │
│ ↓ │
│ 2. Review quality with Gemini 3 Pro │
│ ↓ │
│ 3. Score >= threshold? │
│ YES → DONE! (early stop) │
│ NO → Improve prompt, go to step 1 │
│ ↓ │
│ 4. Repeat until quality met OR max iterations │
└─────────────────────────────────────────────────────┘
Gemini 3 Pro evaluates each infographic on:
Visual Hierarchy & Layout (0-2 points)
Typography & Readability (0-2 points)
Data Visualization (0-2 points)
Color & Accessibility (0-2 points)
Overall Impact (0-2 points)
Each generation produces a JSON review log:
{
"user_prompt": "5 benefits of exercise...",
"infographic_type": "list",
"style": "healthcare",
"doc_type": "marketing",
"quality_threshold": 8.5,
"iterations": [
{
"iteration": 1,
"image_path": "figures/exercise_v1.png",
"score": 8.7,
"needs_improvement": false,
"critique": "SCORE: 8.7\nSTRENGTHS:..."
}
],
"final_score": 8.7,
"early_stop": true,
"early_stop_reason": "Quality score 8.7 meets threshold 8.5"
}
python skills/infographics/scripts/generate_infographic.py [OPTIONS] PROMPT
Arguments:
PROMPT Description of the infographic content
Options:
-o, --output PATH Output file path (required)
-t, --type TYPE Infographic type preset
-s, --style STYLE Industry style preset
-p, --palette PALETTE Colorblind-safe palette
-b, --background COLOR Background color (default: white)
--doc-type TYPE Document type for quality threshold
--iterations N Maximum refinement iterations (default: 3)
--api-key KEY OpenRouter API key
-v, --verbose Verbose output
--list-options List all available options
python skills/infographics/scripts/generate_infographic.py --list-options
Set your OpenRouter API key:
export OPENROUTER_API_KEY='your_api_key_here'
Get an API key at: https://openrouter.ai/keys
✓ Good prompts (specific, detailed):
"5 benefits of meditation: reduces stress, improves focus,
better sleep, lower blood pressure, emotional balance"
✗ Avoid vague prompts:
"meditation infographic"
✓ Good:
"Market growth from $10B (2020) to $45B (2025), CAGR 35%"
✗ Vague:
"market is growing"
✓ Good:
"Timeline showing 5 milestones with icons for each event"
For detailed guidance, load these reference files:
references/infographic_types.md: Extended templates for all 10+ typesreferences/design_principles.md: Visual hierarchy, layout, typographyreferences/color_palettes.md: Full palette specificationsProblem: Text in infographic is unreadable
Problem: Colors clash or are inaccessible
--palette wong for colorblind-safe colorsProblem: Quality score too low
--iterations 3; use more specific promptProblem: Wrong infographic type generated
--type flag for consistent resultsThis skill works synergistically with:
Before generating:
--type)--style)-o)After generating:
Use this skill to create professional, accessible, and visually compelling infographics using the power of Nano Banana Pro AI with intelligent quality review.