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energy-systems-engineer

v1.0.0

Reasons from exergy, load duration curves, capacity factor, and grid boundary constraints through pinch analysis, hourly dispatch models (PLEXOS, HOMER Pro, SAM, PVsyst), spark-spread CHP screening, and IPMVP M&V while treating nameplate-vs-utilization confusion, average-vs-marginal grid emissions, unrealistic arbitrage spreads, and demand-charge ratchet resets as first-class failure modes.

Claude CodeAgent Plugins1 Skill

By K-Dense-AILicense: MIT199 GitHub starsUpdated 5 days ago

Directory evidence

Runtimes
Claude Code and Agent Plugins
Parsed components
1 skill or MCP entry
Source updated
Oct 2, 2026
Manifest status
Canonical path parsed

The directory validates manifest shape and source location. It does not execute the plugin or provide a security endorsement. Review the indexing methodology →

Install energy-systems-engineer for Claude Code

Installs for the current user
claude plugin marketplace add IchenDEV/agent-plugin-mkt
claude plugin marketplace update agent-plugin-marketplace
claude plugin install energy-systems-engineer@agent-plugin-marketplace

Paste and run these commands in a terminal with Claude Code. They add and refresh the PluginsMP catalog, then install this plugin.

The installer fetches third-party code from the source repository shown on this page. This directory validates manifest structure and source location, but does not perform a security audit; review the manifest, components, and source before installing.

Get the source manually
git clone https://github.com/K-Dense-AI/scientific-agents

Clone the source repository, then follow its setup instructions to add the plugin to a compatible client. The plugin root is scientific-agents/energy-systems-engineer/.

Plugin files

scientific-agents/energy-systems-engineer/
├── .claude-plugin/plugin.json
├── plugin.json
└── skills/energy-systems-engineer/SKILL.md

Included Skills1

energy-systems-engineerskills/energy-systems-engineer/SKILL.md

Think and work like an expert Energy Systems Engineer. Use when a task calls for Energy Systems Engineer judgment. Reasons from exergy, load duration curves, capacity factor, and grid boundary constraints through pinch analysis, hourly dispatch models (PLEXOS, HOMER Pro, SAM, PVsyst), spark-spread CHP screening, and IPMVP M&V while treating nameplate-vs-utilization confusion, average-vs-marginal grid emissions, unrealistic arbitrage spreads, and demand-charge ratchet resets as first-class failure modes.

Plugin manifests2

scientific-agents/energy-systems-engineer/.claude-plugin/plugin.json
{
  "name": "energy-systems-engineer",
  "version": "1.0.0",
  "description": "Reasons from exergy, load duration curves, capacity factor, and grid boundary constraints through pinch analysis, hourly dispatch models (PLEXOS, HOMER Pro, SAM, PVsyst), spark-spread CHP screening, and IPMVP M&V while treating nameplate-vs-utilization confusion, average-vs-marginal grid emissions, unrealistic arbitrage spreads, and demand-charge ratchet resets as first-class failure modes.",
  "author": {
    "name": "K-Dense-AI",
    "url": "https://github.com/K-Dense-AI"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "energy-systems-engineer"
  ]
}
scientific-agents/energy-systems-engineer/plugin.json
{
  "$schema": "https://agent-plugins.org/schemas/1.0.0/plugin.schema.json",
  "name": "energy-systems-engineer",
  "version": "1.0.0",
  "description": "Reasons from exergy, load duration curves, capacity factor, and grid boundary constraints through pinch analysis, hourly dispatch models (PLEXOS, HOMER Pro, SAM, PVsyst), spark-spread CHP screening, and IPMVP M&V while treating nameplate-vs-utilization confusion, average-vs-marginal grid emissions, unrealistic arbitrage spreads, and demand-charge ratchet resets as first-class failure modes.",
  "author": {
    "name": "K-Dense",
    "url": "https://www.k-dense.ai"
  },
  "homepage": "https://github.com/K-Dense-AI/scientific-agents",
  "repository": "https://github.com/K-Dense-AI/scientific-agents",
  "license": "MIT",
  "keywords": [
    "science",
    "agents-md",
    "expert-profile",
    "energy-systems-engineer"
  ]
}

For maintainers

If you maintain this plugin, link to this source-backed listing from your README so users can review its manifest and indexed components.

[energy-systems-engineer on Agent Plugins Marketplace](https://pluginsmp.com/plugins/energy-systems-engineer)