ticket-dataset-knowledge-bootstrap
OfficialTurn ticket dumps into reusable knowledge.
Authormetric-space-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Build a reusable ticket knowledge base from large exports or record dumps by deriving a durable source profile, promoted taxonomies, representative examples, and structured projections.
Core Features & Use Cases
- Build a durable source profile from a ticket dataset including sheet, row count, and column analysis.
- Promote structured taxonomies from stable fields such as category, subcategory, and service type.
- Generate semantic issue-pattern taxonomies via embedding clustering and lightweight naming.
- Produce glossary terms and downstream projection guidance to support onboarding and service mapping.
- Outputs: source_profile.json, taxonomies.json, glossary.json, semantic_clusters.json, knowledgebase.md.
Quick Start
Run the bundled script to convert a large ticket export into a durable knowledge base, including a source profile, taxonomies, glossary, and a knowledge base document.
Dependency Matrix
Required Modules
openpyxlsentence-transformerstorchnumpyscikit-learnrequests
Components
scriptsreferencesassets
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Please help me install this Skill: Name: ticket-dataset-knowledge-bootstrap Download link: https://github.com/metric-space-ai/ctox/archive/main.zip#ticket-dataset-knowledge-bootstrap Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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