What problem does it solve?
Generic AI-generated weather safety paperwork for renewables work is often rejected by regulators for relying on vague controls like "monitor the wind" with no numeric thresholds, predefined actions, or re-assessment triggers, or for using base-of-tower wind readings that understate exposure for turbine work. This Skill produces consultant-grade, defensible dynamic weather risk assessments for named renewables sites and activities, with mandatory de-identification of prior incident data to protect personnel privacy.
Core Features & Use Cases
- Numeric threshold enforcement: Every weather parameter (wind, lightning, ice, visibility, temperature) is tied to a named numeric threshold, a predefined hold/stop/evacuate action, and a mandatory re-assessment trigger, rejecting vague, indefensible weather controls.
- Measurement discipline: Enforces hub-height wind measurement for turbine work, flagging base-of-tower readings as control failures that understate worker exposure.
- Regulatory grounding: Anchors thresholds to verified public standards (e.g. BS 7121-1 (2016) 7 m/s man-riding ceiling) and proposes user-confirmed industry baselines, with jurisdiction-specific support for UK (Work at Height Regulations 2005) and India renewables work.
- Use case: A wind farm team replacing a vague "monitor the wind" method statement for blade rope-access on WTG-09 with a regulator-ready dynamic weather risk assessment with defined working limits and re-assessment triggers.
Quick Start
Use this skill to generate a point-of-work dynamic weather risk assessment for blade rope-access on WTG-09 at Wind Farm WF-7, including hub-height wind thresholds, lightning stand-down triggers, and de-identified prior incident context.
