Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· AI
Gearbox
Assesses wind turbine gearbox health from multi-sensor and inspection data. Classifies damage severity (1-5), identifies root cause, and recommends shutdown...
skill openclawclawhub Free
Assesses wind turbine gearbox health from multi-sensor and inspection data. Classifies damage severity (1-5), identifies root cause, and recommends shutdown...
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Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- Sertug17
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
Wind Turbine Gearbox Intelligence
Evaluates gearbox condition using five input parameters and produces a structured maintenance report.
When to Use
Load this skill when the user wants to: Assess gearbox health from on-site inspection or sensor data Classify damage severity on a 1-5 scale Determine whether a turbine should be shut down or kept running under monitoring Generate a structured maintenance or escalation plan
Quick Reference
Input ParameterWhat to CollectVisual inspectionSurface cracks, pitting, spalling, discoloration, debrisOil iron (Fe ppm)Iron particle concentration in gear oil (ppm)Temperature (C)Bearing/gear temperature, normalized to baselineVibrationRMS or peak-to-peak acceleration (g), frequency anomaliesAcoustic / SoundNoise type: grinding, knocking, whining, clicking
Fault Thresholds (Reference)
ParameterNormalWarningCriticalOil Fe (ppm)< 100100 - 300> 300Temp above baseline< 5 C5 - 15 C> 15 CVibration RMS (g)< 0.50.5 - 1.5> 1.5AcousticNo anomalyIntermittentContinuousVisualClean surfaceMinor pittingSpalling/crack
Common Failure Modes
Failure ModeTypical IndicatorsMicropittingHigh Fe ppm, slight vibration increase, no visible cracksSpallingHigh Fe ppm, elevated vibration, visible surface damageFatigue crackKnocking sound, vibration spike at gear mesh frequencyBearing wearWhining noise, high temperature, broadband vibration increaseOil contaminationVery high Fe ppm, discolored oil, possible foaming
Procedure
Collect inputs across all five parameters. If any are unavailable, note as "not measured" and proceed. Evaluate each parameter against the thresholds table. Flag Warning or Critical zones. Cross-correlate symptoms: Fe ppm + vibration increase β wear / spalling progression Knocking sound + vibration spike β fatigue crack Temperature + whining sound β bearing failure Multiple Critical flags β Severity 5 Assign severity: 1 Healthy: All parameters normal. No action required. 2 Early wear: 1-2 parameters in warning zone. Increase monitoring frequency. 3 Moderate damage: 2-3 parameters in warning/critical. Inspect within 2 weeks. 4 Significant damage: Multiple critical flags. Plan shutdown within 48-72 hours. 5 Critical: Imminent failure risk. Immediate shutdown required. Determine root cause from the failure modes table. Generate the output report using the format below.
Output Format
=== GEARBOX HEALTH REPORT === ROOT CAUSE : [e.g., Progressive spalling on intermediate shaft gear] SEVERITY : [1-5] - [Healthy / Early Wear / Moderate / Significant / Critical] SHUTDOWN : [Yes / No / Conditional] MONITORING STRATEGY: [e.g., Repeat oil sample in 72 hours] [e.g., Daily vibration trend monitoring for 1 week] ESCALATION TRIGGERS: [e.g., Fe ppm exceeds 400 - immediate shutdown] [e.g., Vibration RMS exceeds 2.0 g - immediate shutdown]
Pitfalls
Never assign Severity 5 based on one parameter alone. Cross-validate with at least two sources. Temperature readings can be misleading in extreme ambient conditions. Ask for baseline-normalized values. Acoustic descriptions are subjective. Ask for noise type and whether continuous or intermittent. If sensor data is unavailable, rely on visual and oil condition as primary indicators. Do not conflate oil change interval with oil health. New oil can still show high Fe ppm.
Verification
After generating the report, confirm with the user: Does the severity match their on-site observations? Are escalation thresholds feasible for their monitoring setup? Are there additional data points (CMS trending, historical Fe ppm) that could refine the assessment?
Category context
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md