tabular-knowledge-bootstrap

Official

Turn tabular data into discovery knowledge.

Authormetric-space-ai
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This skill builds a durable, reusable discovery knowledge base by normalizing tabular sources (rows from exports, inventories, or query results) into a shared SQLite-backed kernel, enabling downstream knowledge planes and repeatable collaboration.

Core Features & Use Cases

  • Normalize tabular sources (CSV/TSV/Excel/JSON arrays/SQL exports) into the shared discovery graph using a SQLite-backed kernel, capturing raw evidence and source profiles.
  • Promote structured taxonomies: define dimensions and buckets, collect representative examples, and produce a downstream projection plan for tickets, monitoring, or access knowledge planes.
  • Produce durable artifacts (source profile, taxonomy, buckets, examples) and a clear projection mapping to enable repeatable knowledge capture across runs.

Quick Start

Provide your tabular data source (CSV, TSV, XLSX, JSON array, or SQL result) and run the tabular knowledge-bootstrap workflow to generate a promoted taxonomy and downstream projections.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

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Please help me install this Skill:
Name: tabular-knowledge-bootstrap
Download link: https://github.com/metric-space-ai/ctox/archive/main.zip#tabular-knowledge-bootstrap

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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