Data & Analytics

Create personalized triathlon, marathon, and ultra-endurance training plans. Use when athletes ask for training plans, workout schedules, race preparation, or coaching advice. Can sync with Strava to analyze training history, or work from manually provided fitness data. Generates periodized plans with sport-specific workouts, zones, and race-day strategies.

Query Stripe customer and billing data from a synced PostgreSQL database. Use when the user asks about Stripe customers, subscriptions, invoices, charges, or any Stripe-related data.

Create and populate Annotated Research Contexts (ARCs) following the nfdi4plants ARC specification. Use when creating a new ARC, adding studies/assays/workflows/runs, annotating ISA metadata, organizing research data into ARC structure, or pushing ARCs to a DataHUB. Guides the user interactively through all required and optional metadata fields.

Convert construction data to/from Parquet format. Optimize storage, enable fast queries, and integrate with data lakehouses.

Use this skill when the user wants to build tool/scripts or achieve a task where using data from the Hugging Face API would help. This is especially useful when chaining or combining API calls or the task will be repeated/automated. This Skill creates a reusable script to fetch, enrich or process data.

Interact with a web-based Excel-like spreadsheet API for AI agents. Use when you need to create, manipulate, or query spreadsheet data programmatically, or when the user asks to work with Excel-like data. Authenticate using API key in Authorization header.

Query your Shopify store's sales, profitability, customers, and marketing data through Ned's API. Use when asked about profit, revenue, sales, orders, products, customers, churn, ad spend, ROAS, MER, margins, or any ecommerce analytics question. Also use for 'what's my profit today', 'top products', 'customer segments', 'ad performance', or 'how is my store doing'. Requires a NED_API_KEY.

Evidence-based endurance cycling coaching protocol (v11.3). Use when analyzing training data, reviewing sessions, generating pre/post-workout reports, planning workouts, answering training questions, or giving cycling coaching advice. Always fetch athlete JSON data before responding to any training question.

Precision Financial Insights - Analyze stocks, companies, and market sentiment using authoritative data. Powered by Yahoo Finance and enhanced with intelligent news synthesis by we-crafted.com/agents/financial-market-analysis - Buy CRAFTED_API_KEY in our website to start using

Write and execute Python scripts using Amazon Nova Act for AI-powered browser automation tasks like flight searches, data extraction, and form filling.

Convert IFC files (2x3, 4x1, 4x3) to Excel databases using IfcExporter CLI. Extract BIM data, properties, and geometry without proprietary software.

Generate Redis key patterns and data structures. Use when designing Redis architecture.