Agent skill · research science · personamanagmentlayer
energy-expert
Expert-level energy systems, smart grids, renewable energy, power management, and energy analytics. Use when the user mentions smart grid, renewable, power, utilities, or SCADA, or when the task involves Energy Systems, Smart Grid Technology, Standards and Protocols, or Smart Grid Operations.
Why this skill is useful
Provides domain-specific knowledge on energy systems and smart grid technology that the AI wouldn't reliably generate on its own.
What it needs
About 6k tokens when loaded. Last updated 2026-03-30. 41 stars on the source repository.
What this skill does
Energy Expert Expert guidance for energy systems, smart grid technology, renewable energy integration, power management, and energy sector software development. Core Concepts Energy Systems Smart grid infrastructure Renewable energy systems (solar, wind, hydro) Power generation and distribution Energy storage systems (batteries, pumped hydro) Demand response management Energy trading and markets Grid stability and load balancing Smart Grid Technology Advanced Metering Infrastructure (AMI) Supervisory Control and Data Acquisition (SCADA) Distribution Management Systems (DMS) Energy Management Systems (EMS) Outage Management Systems (OMS) Geographic Information Systems (GIS) Real-time monitoring and control Standards and Protocols IEC 61850 (power utility automation) Modbus (industrial protocol) DNP3 (Distributed Network Protocol) IEEE 2030 (smart grid interoperability) OpenADR (automated demand response) CIM (Common Information Model) MQTT for IoT devices Renewable Energy Integration SCADA Integration Energy Trading and Markets Best Practices Smart Grid Operations Implement real-time monitoring with sub-second latency Use redundant communication paths for critical systems Deploy edge computing for local decision-making Maintain comprehensive audit logs for all control actions Implement cybersecurity measures (IEC 62351) Use time synchronization (IEEE 1588 PTP) Renewable Energy Integration Forecast renewable generation using ML models Implement dynamic curtailment strategies Use energy storage for grid stabilization Support virtual power plants (VPP) Enable peer-to-peer energy trading Monitor power quality metrics Data Management Use time-series databases (InfluxDB, TimescaleDB) Implement data compression for long-term storage Archive historical data with proper retention policies Ensure data integrity and traceability Support real-time analytics and visualization Implement anomaly detection algorithms System Design Design for 99.999% availability Implement graceful d …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills personamanagmentlayer/energy-expert