Skill UI

This comprehensive SDK provides the .NET framework bindings to manage the Azure API Center service. It enables centralized API inventory management, governance, versioning, and lifecycle control (creation, definition upload, environment deployment). Ideal for building robust, scalable API management pipelines within the Azure ecosystem.

Maps architectural components within a codebase, computes statement-based size metrics, flags oversized or undersized modules, and generates an inventory to guide decomposition planning.

A comprehensive guide for managing Lindy AI agents through platform upgrades, reconfigurations, or workspace migrations. It covers the entire lifecycle, including inventory documentation, configuration exporting, phased deployment planning, and critical post-migration steps for webhooks, email, and phone numbers, ensuring business continuity.

Automates Shopify tasks via Composio's Rube MCP toolkit, covering product, order, customer, collection, and inventory workflows using the provided Shopify tools after discovering the current schemas.

Automates Zoho Inventory workflows by orchestrating Composio toolkit calls through the Rube MCP interface, guiding you to first search tools, verify connections, and execute multi-step operations with schema compliance and session reuse.

Automate Benchling lab data workflows via the Python SDK or REST API: manage registry entities (DNA, proteins), inventory, ELN entries, workflows, and Data Warehouse queries for syncing and analytics.

Guides Odoo users through configuring FIFO/AVCO valuation, reordering rules, putaway strategies, warehouse routes and multi-step flows to ensure accurate stock levels and traceable receipts/shipments.

This guide details how to seamlessly connect Odoo (ERP) with Shopify (E-commerce). It covers the full synchronization of mission-critical data, including product catalogs, real-time inventory levels, customer records, and incoming sales orders. Learn to implement API-driven integrations using webhooks, XMLRPC, and modern Python techniques to ensure data consistency across both platforms.

Automate the deployment of osquery scheduled queries to continuously monitor endpoints, covering process inventory, network listeners, file integrity, and persistence mechanisms; generate osquery.conf, configure differential logging, analyze suspicious results, and produce a security report.

Cartography is a CNCF project designed to perform comprehensive cloud asset inventory across AWS, GCP, and Azure. It queries cloud APIs to aggregate infrastructure resources, map complex relationships (like IAM permissions and network paths), and store them in a Neo4j graph database. This allows security teams to visualize potential attack paths, conduct deep security audits, and identify cross-cloud misconfigurations.

This skill details how to conduct comprehensive Operational Technology (OT) vulnerability assessments using platforms like Claroty xDome. It covers passive asset discovery, correlating vulnerabilities against CISA/ICS-CERT advisories, calculating risk scores, and prioritizing remediation based on operational impact and compliance standards (e.g., IEC 62443, NERC CIP). The provided workflow uses Python to manage asset inventory and vulnerability matching for highly regulated industrial environments.

Scan installed skills, extract shared cross-domain principles, and distill them into reusable rules. Supports appending, revising, or creating rule files during regular maintenance or after skill inventory updates.