Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub · Data Analysis
Blade Inspection
Assesses wind turbine blade condition from visual inspection data. Classifies damage type and severity (1-5) across seven failure modes and recommends repair...
skill openclawclawhub Free
Assesses wind turbine blade condition from visual inspection data. Classifies damage type and severity (1-5) across seven failure modes and recommends repair...
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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
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New install
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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
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Documentation
Wind Turbine Blade Inspection Intelligence
Evaluates blade condition from drone or ground-based visual inspection and produces a structured damage assessment across seven failure modes.
When to Use
Load this skill when the user wants to: Assess blade health from drone inspection images or written findings Classify damage type and severity on a 1-5 scale per blade and per zone Determine whether a turbine should continue operating, be scheduled for repair, or shut down Generate a structured blade inspection report with repair recommendations
Blade Zones
ZoneSpanDescriptionRoot0-33%Highest structural loads, bolted connection areaMid33-66%Transition zone, moderate aerodynamic loadTip66-100%Highest velocity, most erosion-prone, lightning receptor area Surfaces: Leading Edge (LE), Trailing Edge (TE), Suction Side (SS), Pressure Side (PS)
Damage Type Definitions
Damage TypeDescriptionTypical LocationSurface crackGelcoat or laminate cracks, linear fracturesLE, TE, root transitionErosion / wearMaterial loss, pitting, rougheningLE tip zoneLightning damageBurn marks, punctures, receptor damageTip, receptor areaLamination/structuralDelamination, fiber exposure, buckling, dentsAny zoneDebondingBond line separation at LE, TE, or shear webLE, TE, internalIce accumulationIce buildup on surface or edgesAny zoneGeneral visual anomalyDiscoloration, contamination, coating lossAny zone
Severity Scale
SeverityLabelDescriptionAction1HealthyNo damage or cosmetic marks onlyContinue normal operation2MinorEarly erosion, superficial cracks, coating lossIncrease inspection frequency3ModerateGelcoat breach, early debonding, defined damageRepair within 1-3 months4SignificantStructural involvement, active debonding, lightningRepair within 2-4 weeks5CriticalFiber exposure, structural breach, delaminationImmediate shutdown required
Procedure
Collect inputs: blade IDs, inspection method, findings per blade per zone per surface. Classify each finding by damage type. Assign severity per finding using the severity scale. Determine overall blade severity as the highest finding for that blade. Determine turbine-level severity as the highest across all blades. Apply damage-specific rules: Lightning damage: minimum Severity 4 until OEM confirms otherwise. Debonding at LE or TE over 300 mm: escalate to Severity 4. Any confirmed fiber exposure: minimum Severity 4. Erosion with full gelcoat loss over 500 mm span at tip: Severity 4. Active ice accumulation: always Severity 4. Generate output report using the format below.
Output Format
=== BLADE INSPECTION REPORT === ASSET : [Turbine ID] SITE : [Site name] INSPECTION : [Date / Method] BLADES : [Number inspected] BLADE [ID]: Zone/Surface : [e.g., Tip / Leading Edge] Damage Type : [e.g., Erosion] Description : [e.g., Deep pitting ~600 mm span, gelcoat fully lost] Severity : [1-5] - [Label] BLADE [ID] OVERALL SEVERITY: [1-5] - [Label] TURBINE-LEVEL SEVERITY : [1-5] - [Label] SHUTDOWN RECOMMENDATION: [Yes / No / Conditional] REPAIR PRIORITY: [e.g., Blade 2 tip LE erosion - schedule LEP repair within 6 weeks] MONITORING STRATEGY: [e.g., Monthly drone re-inspection for all blades] ESCALATION TRIGGERS: [e.g., Debond length exceeds 500 mm - shutdown for repair] [e.g., SCADA vibration or imbalance alarms - ground turbine]
Damage-Specific Guidance
Erosion: Progresses from roughening to pitting to gelcoat loss to fiber exposure. Repair with Leading Edge Protection (LEP) tape or coating. Severity 3-4 causes measurable energy production loss. Lightning: Always notify OEM. Minor visible damage may hide internal delamination. Do not assume safe to operate until specialist confirms. Debonding: LE debonding causes aerodynamic noise and vibration. TE debonding starts at tip and progresses toward root. Bond line gap over 300 mm is Severity 4. Lamination/Structural: Fiber exposure is always Severity 4 minimum. Dents or buckling without fiber exposure is Severity 3. Ice: Active ice requires immediate grounding due to rotor imbalance and ice throw risk. After melting, inspect surface for underlying damage.
Pitfalls
Do not classify erosion from low-resolution images. Ask for close-up zone-specific photos. Lightning damage is always higher priority than it looks. Treat as Severity 4 until proven otherwise. Debonding can be invisible from drone imagery. If SCADA shows imbalance alarms, flag potential hidden debonding. Active ice is a safety hazard. Recommend immediate grounding. Assess each blade independently. Damage distribution is rarely uniform across all three blades.
Verification
After generating the report, confirm with the user: Does the severity match the inspector's on-site assessment? Are all three blades accounted for? Are there SCADA alarms (vibration, imbalance, power curve deviation) correlating with findings? Is there a previous inspection report for trend comparison?
Category context
Data access, storage, extraction, analysis, reporting, and insight generation.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
1 Docs
- SKILL.md