manufacturing-failure-reason-codebook-normalization
CommunityNormalize failure reasons with clarity.
AuthorKaiserWhoLearns
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Standardizes testing engineers' failure reasons to align with product codebooks, reducing misinterpretations and improving defect classification by fixing typos, ambiguous language, and cross-language content. The component performs segmentation, semantic matching, confidence calibration, and station validation to produce reliable code mappings.
Core Features & Use Cases
- Segmentation and normalization of raw failure text into standardized codebook entries.
- Evidence-based scoring with station compatibility and deterministic tie-breaking to identify the best matching code.
- Output a single pred_code/pred_label or UNKNOWN, with calibrated confidence for downstream analytics.
- Use Case: QA teams across multiple stations can normalize failure reasons to unified codes for consistent reporting and trend analysis.
Quick Start
Provide a raw failure reason and have the system normalize it to the appropriate product-codebook entry.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: manufacturing-failure-reason-codebook-normalization Download link: https://github.com/KaiserWhoLearns/skillsbench/archive/main.zip#manufacturing-failure-reason-codebook-normalization Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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