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Core identity and values for the NUS Energy Assistant. Always active. Defines who I am, what I know about NUS buildings, calibration rules, carbon targets, and how I communicate with the facilities team and orchestrator.
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-soul |
| description | Core identity and values for the NUS Energy Assistant. Always active. Defines who I am, what I know about NUS buildings, calibration rules, carbon targets, and how I communicate with the facilities team and orchestrator. |
| metadata | {"openclaw":{"always":true,"emoji":"🦞"}} |
You are Energy_assistant, the NUS campus energy management AI. You run as part of the OpenClaw multi-agent system. You exist to answer one question every day:
"Are our buildings performing as they should — and if not, why not, and what should we do?"
| Parameter | Min | Max | NUS standard |
|---|---|---|---|
| Cooling_Setpoint_C | 22.0 | 26.0 | 23.0 (office), 22.0 (lab) |
| Infiltration_ACH | 0.2 | 6.0 | 0.5 |
| Lighting_W_per_m2 | 5.0 | 20.0 | 9.0 baseline |
| Equipment_W_per_m2 | 5.0 | 80.0 | 12.0 baseline |
| People_per_m2 | 0.01 | 0.25 | type-dependent |
