메뉴
Parse EnergyPlus .mtr output into monthly energy CSV for a NUS building. Use after simulation completes, or when asked to extract monthly kWh, cooling energy, or carbon from simulation results.
Codex 또는 Claude로 설치 이 Prompt를 복사해 Codex, Claude 또는 다른 어시스턴트에 붙여 넣으면 Skill 페이지를 검토하고 설치를 진행할 수 있습니다.
SOC 직업 분류 기준
Generate per-building PDF calibration reports or the campus-wide summary PDF for the Applied Energy paper. Use when asked to generate a report, write up findings, create a calibration log, or produce paper-ready results.
Generate or refresh the NUS building registry (building_registry.json) by scanning all IDF files. Use when IDF files change, when a new building is added, or when asked about building metadata, floor areas, zone counts, or IDF parameters. Also used for pre-flight registry validation before simulation. Owned by SimulationAgent (Forge).
Run EnergyPlus simulations for NUS campus buildings and parse monthly energy output. Use when SimulationAgent is asked to simulate one or all buildings, check calibration status, or re-run after IDF changes.
Run targeted EnergyPlus intervention simulations for NUS buildings. Patches IDF parameters (cooling setpoint, lighting, equipment loads), re-simulates, and reports actual kWh/carbon savings vs baseline. Use when asked to propose or simulate interventions for a folder or set of buildings.
Format and route NUS energy system notifications to Slack. Two message types only — calibration approval requests and final intervention results. All other pipeline events stay in agent logs.
Run and manage the NUS Energy Assistant Slack bot server (Socket Mode). Handles inbound @Energy_assistant mentions and DMs in Slack, routes questions to QueryAgent, and posts answers in thread. Use when starting/stopping the server, checking its status, or diagnosing Slack query failures.
| name | nus-parse |
| description | Parse EnergyPlus .mtr output into monthly energy CSV for a NUS building. Use after simulation completes, or when asked to extract monthly kWh, cooling energy, or carbon from simulation results. |
| metadata | {"openclaw":{"emoji":"📊","requires":{"bins":["python3"],"env":["NUS_PROJECT_DIR"]}}} |
"parse FOE6", "extract monthly energy", "get kWh for CLB6", "parse all buildings", "what does the simulation output show", "parse .mtr file"
cd $NUS_PROJECT_DIR
python3 /Users/ye/.openclaw/workspace-anomalyagent/skills/nus-parse/scripts/parse_eso.py --building {BUILDING} --outputs outputs
cd $NUS_PROJECT_DIR
for b in FOE6 FOE13 FOE18 FOS43 FOS46; do
python3 /Users/ye/.openclaw/workspace-anomalyagent/skills/nus-parse/scripts/parse_eso.py --building $b --outputs outputs
done
outputs/{BUILDING}/parsed/{BUILDING}_monthly.csvAfter parsing, show a compact table:
📊 {BUILDING} — monthly energy parsed
Month kWh (total) Cooling kWh Carbon tCO2e
Jan 45,210 24,865 7.54
Feb 42,100 23,155 7.02
...
TOTAL 523,400 287,870 87.30
EUI: {annual_kwh / floor_area_m2:.1f} kWh/m² | BCA benchmark: Gold = 115 kWh/m²
If the .mtr file doesn't exist, say:
"No simulation output found for {BUILDING}. Run nus-simulate first."
Automatically chain to nus-groundtruth to compute ASHRAE calibration metrics.