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catalog-register

Register CSV, API, and SQL data sources by extracting schema details into catalog entries.

Updated Feb 17, 2026
Search Tags:#api#schema#catalog#mcp#sql#csv#data-source
One-click install
npx skills add https://github.com/etoyama/insight-blueprint --skill catalog-register
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: catalog-register
Source: https://github.com/etoyama/insight-blueprint/tree/main/skills/catalog-register
Command: npx skills add https://github.com/etoyama/insight-blueprint --skill catalog-register

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill guides Claude through discovering data source schemas (CSV, API, SQL) and registering them in the insight-blueprint data catalog, transforming scattered metadata into an organized, searchable catalog entry.

Core Features & Use Cases

  • Discover and validate data source schemas for CSV files, REST APIs, and SQL tables.
  • Create catalog entries with structured metadata, connection details, and tagging for downstream MCP tools.
  • Use Case: When onboarding a new dataset, register its source_id, type, and schema so analysts can query and link it to analyses.

Quick Start

Ask Claude to register a new data source with a unique source_id and required metadata.

Frequently Asked Questions about catalog-register

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I register a new SQL or CSV data source in a catalog for MCP workflows?▼

To register a SQL or CSV data source, you provide a unique source_id, name, description, and connection details. The skill then discovers the schema, captures metadata, and creates a validated catalog entry for downstream MCP workflows.

What data source types can I onboard into the data catalog?▼

You can onboard CSV files, REST APIs, and SQL tables into the data catalog. The registration process extracts schema details from these sources and organizes the metadata into searchable catalog entries.

What metadata do I need to provide when onboarding a new dataset?▼

When onboarding a new dataset, you need to provide a unique source_id, a name, a description, and connection details. This metadata is captured and structured to allow analysts to query and link the source to analyses.

Does this data catalog registration process include schema discovery and validation?▼

Yes, the data catalog registration process coordinates schema discovery and metadata capture with built-in validation and error handling. It ensures the extracted schema details are accurate before creating the final catalog entry.

Can I use this to organize scattered metadata into a searchable catalog entry?▼

Yes, you can use this skill to transform scattered metadata into an organized, searchable catalog entry. It structures connection details and tags for downstream MCP tools to query and analyze.

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