Rowan is a cloud-based computational chemistry platform providing quantum chemistry calculations via a Python SDK. Use it to run geometry optimization, conformer generation, torsional scans, and energy minimization with DFT or semiempirical methods, and retrieve molecular properties (dipole moment, partial charges, frontier orbital energies) — without managing local quantum chemistry software or HPC clusters.

Query ZINC15/ZINC22 virtual compound libraries for drug discovery. Search purchasable lead-like, fragment-like, and drug-like compounds by molecular weight, logP, reactivity class, or SMILES similarity. Download 3D compound sets for docking, retrieve SMILES for in-silico screening. ZINC20 contains 1.4B compounds; purchasable subset is 750M. For bioactivity data use chembl-database-bioactivity; for approved drugs use drugbank-database-access.

Infer, analyze, and visualize intercellular communication from scRNA-seq data using CellChat (R). Pipeline: create CellChat object from Seurat or count matrix → subset CellChatDB ligand-receptor database → identify over-expressed genes per cell group → infer communication probabilities → compute pathway-level signaling → analyze network centrality (senders, receivers, influencers) → visualize with chord diagrams, heatmaps, and bubble plots → compare across conditions. Human and mouse supported. Use liana for a pure-Python equivalent.

Constraint-based reconstruction and analysis (COBRA) of genome-scale metabolic models. FBA, FVA, gene/reaction knockouts, flux sampling, production envelopes, gapfilling, and media optimization. Use for metabolic engineering strain design, essential gene identification, and flux distribution analysis. For kinetic modeling use tellurium; for pathway visualization use Escher.

Research profitable products to sell on eBay. Analyze completed listings, sell-through rates, average selling prices, competition density, and seasonal demand patterns.

Product photography for Etsy — composition, lighting, backgrounds, editing, lifestyle shots, 360 views

Etsy pricing — cost calculation, competitor pricing, perceived value, shipping cost integration, sales and coupons

Shop branding — banner design, logo, brand story, cohesive listing photography, packaging

Amazon profit margin calculator for sellers. Calculate cost breakdowns, profit margins, break-even points, and get pricing recommendations. Supports single product analysis and batch calculations. Input product cost, shipping, FBA fees, and get instant profitability analysis. No API key required. Use when: (1) evaluating new product profitability before sourcing, (2) diagnosing existing product margins, (3) adjusting pricing strategy, (4) analyzing multiple SKUs at once.

Master Shopify analytics and reporting. Understand key metrics, build custom reports, track customer behavior, and make data-driven decisions to grow your Shopify store.

DIY product photography — setup, lighting, backgrounds, editing, lifestyle shots, 360 views

Step-by-step Shopify store setup guide. From account creation to first sale — theme selection, product uploads, payment and shipping configuration, domain setup, and launch checklist.

Self-contained design transformer — invoke directly, do not decompose. Transforms a design reference HTML file into a Vibes app. Use when user provides a design.html, mockup, or static prototype to match exactly.

Self-contained SaaS pipeline — invoke directly, do not decompose.

Coordinates album release including QA, distribution prep, and platform uploads. Use when mastering and album art are complete and the user is ready to release.

Runs the session startup procedure - verifies setup, loads config and state, checks skill models, and reports project status. Use at the beginning of a fresh session.

Validates album directory structure, file locations, and content integrity. Use before release or whenever the user wants to check an album's structural health.

Select the right Python charting library (seaborn, matplotlib, graphviz) and produce publication-quality static visualizations. Use when creating charts, plots, graphs, diagrams, heatmaps, visualizations from data, or when choosing between matplotlib/seaborn/graphviz. Also triggers for network diagrams, flowcharts, dependency trees, state machines, and entity-relationship diagrams. For interactive browser-rendered charts or uploaded data exploration, defer to charting-vega-lite instead.

Discover and load skills on demand from /mnt/skills/user/. Use when you need a capability but don't know which skill provides it, when the boot-emitted skill list is names-only and you need a full description, or when you want to list the catalog. Verbs are list (names only), search (rank by name/description match against a query), and show (emit the full SKILL.md for a named skill).

Convert raster images (photos, paintings, illustrations, line art) into SVG vector reproductions. Use when the user uploads an image and asks to reproduce, vectorize, trace, or convert it to SVG. Also use when asked to decompose an image into shapes, create an SVG version of a picture, or faithfully reproduce artwork as vector graphics. Handles graphic/line-art inputs (Kandinsky, architectural drawings, ink work) via a compositional pipeline that extracts lines as SVG strokes. Do NOT use for creating original SVG illustrations from text descriptions — only for converting existing raster images.

A working computer built from transformer primitives. Every instruction fetch and stack read

Selective simplification: one pipeline pass at high K → zone-aware contour

Browser automation via webctl CLI in Claude.ai containers with authenticated proxy support. Use when users mention webctl, browser automation, Playwright browsing, web scraping, or headless Chrome in container environments.

Compute technical indicators like RSI, MACD, Bollinger Bands, SMA, EMA for a stock. Use when user asks about technical analysis, indicators, RSI, MACD, moving averages, overbought/oversold, or chart analysis.

Create interactive KPI dashboards for construction projects. Track schedule, cost, quality, and safety metrics in real-time.

Convert RVT/RFA files to Excel databases. Extract BIM element data, properties, and quantities.

Schedule labor crews based on CWICR norms and project timeline. Calculate crew sizes, shifts, and labor loading curves.

Apply geographic location factors to CWICR estimates. Adjust costs for regional labor rates, material prices, and market conditions.

Track material procurement from requisition to delivery. Monitor lead times, vendors, and costs.

Link BIM elements to schedule activities for 4D simulation. Visualize construction sequence over time.

Parse and validate JSON data from construction APIs, IoT sensors, and BIM exports. Transform nested JSON to flat DataFrames.

Read and parse XML from construction systems - P6 schedules, BSDD exports, IFC-XML, COBie-XML. Convert to pandas DataFrames.

Fetch weather data for construction scheduling. Historical data, forecasts, and risk assessment for outdoor work.

Build RAG systems for construction knowledge bases. Create searchable AI-powered construction document systems

Detect anomalies and outliers in construction data: unusual costs, schedule variances, productivity spikes. Statistical and ML-based detection methods.

Calculate embodied carbon and lifecycle emissions for construction materials and projects. Support sustainable design decisions with carbon data.

Automate construction photo report generation using n8n with AI-powered image analysis.

Create n8n workflow for daily task assignment from PTO engineer to foreman via Telegram bot with status reporting.

Build Telegram bots for construction field workers. Real-time reporting, photo uploads, task assignments, progress tracking. Integrate with n8n for automated workflows.

Comprehensive verification system for construction automation deliverables. Use after completing estimates, schedules, reports, or data processing tasks to ensure quality.

Build no-code/low-code automation workflows for construction using n8n. Automate data extraction, cost estimation, report generation, and system integrations without writing code.

Aggregate and analyze IoT sensor data from construction sites. Collect data from multiple sensor types, detect anomalies, and trigger alerts for safety and quality monitoring.

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