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Detect construction defects with computer vision v1.0.0
Use this resource to detect construction defects in images or video
New
- 489 downloads
- 234 likes
- 150 saves
Free
Install with the CLI
In a terminal, from the folder you want:
npx --yes palatekit@latest install concrete-defect-detection-visionWith no option, the skill goes to ~/.agents/skills/; add --agent claude-code (or codex, cursor…) to target an agent.
First time: connect the CLI with
npx --yes palatekit@latest loginThe agent analyses inspection photos or video with a vision model, classifies the defects and their severity, then produces an inspection report. You get a list of located defects and a report ready to read.
Mostly picked by
Updated November 2, 2026
Previews
Details
- Install guides
- Generates with
- Your agent's model
- Licence
- MIT
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What you get
- SKILL.md: defect types, classification and inspection report
- instructions.md: usage steps
- claw.json: configuration file supplied with the skill
Good fit for
- You inspect concrete facades and want to sort the photos
- You must document cracks for a control report
Not for
Tags
- defects
- vision
- inspection
- concrete
About
You say
“Analyse these slab photos and list the cracks and spalls with their severity.”
Skill published by datadrivenconstruction under the MIT license, delivered in its original version.
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How to use it
- Install the skill in your agent's skills folder
- Ask your agent to detect construction defects in images or video
- Review and adjust the result
Content preview
Files
- claw.json0.5 KB
- instructions.md1.3 KB
- LICENSE1.1 KB
- NOTICE-PALATEKIT.md0.5 KB
- SKILL.md28.2 KB
Origin and licence
Listed unmodified
- Author
- datadrivenconstruction
- Source
- github.com/datadrivenconstruction/ddc_skills_for_ai_agents_in_construction/tree/410ed1e71e4a5c6fd231afd0c8d1e586a9f546e8/5_DDC_Innovative/defect-detection-ai
- Licence
- MIT
Notice
« defect-detection-ai » (datadrivenconstruction, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.
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