PMSM Claude Skills: methodology + skill library for AI-augmented MATLAB/Simulink modeling of PMSM control (FCS-MPC, DTC, SMC) with the Reference Model Learning Workflow; plus an extra FOC + load-torque-estimator reference
npx skills add calebzu/pmsm-control-claude-skills-for-matlabPMSM Claude Skills: methodology + skill library for AI-augmented MATLAB/Simulink modeling of PMSM control (FCS-MPC, DTC, SMC) with the Reference Model Learning Workflow; plus an extra FOC + load-torque-estimator reference
Demonstrate how to create a web application with an AI assistant using Claude Code + Skills
The Multi-Agent Custom Automation Engine Solution Accelerator is an AI-driven system that manages a group of AI agents to accomplish tasks based on user input. Powered by Microsoft Agent Framework, Azure Foundry, Azure Cosmos DB, and infrastructure services, it provides a reference application, allowing you to hit the ground running.
One-shot user management for apps, multi-chain wallet authentication, an AI-powered assistant, and AI app introspection. Use when the user wants to let website users sign in with wallets, email/password, or social login and give each user a wallet-enabled account, then embed EmblemAI chat surfaces, connect plugins, or add Reflexive observability. Provides React components, TypeScript SDKs, session-based authentication, and pointers to the React and agent-wallet skills for specialized workflows.
A cross-agent plugin marketplace for Claude Code and Codex - extend your AI agents with new tools, skills, and workflows.
Import data into the AWS data lake from S3 files, local uploads, JDBC databases (Oracle, SQL Server, PostgreSQL, MySQL, RDS, Aurora), Amazon Redshift, Snowflake, BigQuery, DynamoDB, or existing Glue catalog tables (migration). Default target is S3 Tables; standard Iceberg on a general purpose bucket is supported where S3 Tables is not adopted. Handles one-time loads, recurring pipelines, migrations. Triggers on: import data, load data, ingest, sync database, migrate table, move data to AWS, set up pipeline, ETL, pull from Snowflake, query BigQuery into S3, export DynamoDB, CTAS, convert to Iceberg. Do NOT use for setting up or troubleshooting Glue connections (use connecting-to-data-source), creating empty tables (use creating-data-lake-table), running queries (use querying-data-lake), finding tables by fuzzy name (use finding-data-lake-assets), catalog audit (use exploring-data-catalog), or SaaS platforms like Salesforce, ServiceNow, SAP, MongoDB, Kafka.
Hermes Agent full backup: skills, memories, plans, scripts, config, profiles