Identify and fix QA/QC issues in EnergyPlus IDF models.
npx skills add https://github.com/mbcoalson/skills --skill energyplus-assistant
Please help me install this Agent Skill. Skill: energyplus-assistant Source: https://github.com/mbcoalson/skills/tree/main/.claude/skills/energyplus-assistant Command: npx skills add https://github.com/mbcoalson/skills --skill energyplus-assistant
EnergyPlus IDF model analysis, QA/QC, and simulation workflows are complex, time-consuming, and often require specific environment setups (like Docker/MCP), leading to inefficiencies and errors. This Skill provides intelligent, environment-aware automation to streamline these processes.
ZoneHVAC:EquipmentList objects, field shifts, and IDF version mismatches.Run a quick QA/QC check on my 'model.idf' file.
High-intent search queries and answers about installing and using this skill.
QA/QC validation on IDF files identifies issues like corrupt equipment lists and field misalignments using direct Python parsing with eppy, completing in seconds without running full simulations. This Skill automates rapid pre-simulation checks to prevent costly simulation failures.
Yes, automated IDF repair fixes common issues including corrupt ZoneHVAC:EquipmentList objects, field shifts, and version mismatches. The Skill identifies and corrects these problems directly in your IDF files, preparing them for reliable simulation.
HVAC system analysis discovers and visualizes equipment connections and topology within EnergyPlus models, helping you understand complex systems and troubleshoot configuration issues. This Skill parses IDF structure to map HVAC relationships automatically.
Parametric ECM testing enables systematic evaluation of energy conservation measures like lighting, envelope, and schedule changes across project models. The Skill supports batch analysis and generates comparative results for measure impact assessment.
The Skill includes environment-aware logic handling Windows path formats, Docker availability, and non-destructive outputs. It adapts automatically to your setup, supporting both direct parsing and MCP-based workflows depending on your environment.
Required dependencies include eppy for IDF parsing, beautifulsoup4 for data extraction, pandas for analysis, and openpyxl for spreadsheet output. These libraries enable comprehensive IDF validation, repair, and reporting workflows.
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