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DataPython

Schema Exploration

by Idun-Group

Schema Exploration is a Data skill for Claude Code, published by Idun-Group in idun-agent-platform.

199 stars13 forkson Idun-Group/idun-agent-platformAdded 2026/09/05+1% in starsRepository updated 2026/08/06
a2a-protocolag-ui-protocolagent-platformagentic-aiagentsclaude-codeclaude-skillscopilotkitgoogle-adkgovernanceguardrailslangchainlangfuselanggraphmcpobservabilityopen-sourceopenclawopentelemetrysso
Install in seconds
Install Schema Exploration
Copy Schema Exploration into your Claude Code skills folder. Run the command in your terminal, or review the source on GitHub before installing.
terminal
npx degit https://github.com/Idun-Group/idun-agent-platform/tree/main/examples/tutorials/text-to-sql-deep-agent/skills/schema-exploration ~/.claude/skills/schema-exploration

Requires Node.js. Downloads this skill only — not the rest of the repository — into your Claude Code skills folder.

Without Node.js

git clone https://github.com/Idun-Group/idun-agent-platform.git

Clones the whole repository, then copy the skill’s own directory into your skills folder yourself.

In this catalog

Source file
examples/tutorials/text-to-sql-deep-agent/skills/schema-exploration/SKILL.md in Idun-Group/idun-agent-platform
Installs to
~/.claude/skills/schema-exploration
Collection
One of 2 skills cataloged from this repository
Category
Data762 skills

What Schema Exploration does

Schema Exploration lists tables, columns, data types, keys, and foreign key relationships in a database. Use it when you need to inspect schema structure, ERD links, or understand how entities relate.

Schema Exploration is cataloged under Data on DirSkills. Schema Exploration comes from a repository tagged a2a-protocol, ag-ui-protocol, agent-platform, agentic-ai and agents.

Documentation

README

Schema Exploration Skill

Workflow

1. List All Tables

Use sql_db_list_tables tool to see all available tables in the database.

This returns the complete list of tables you can query.

2. Get Schema for Specific Tables

Use sql_db_schema tool with table names to examine:

  • Column names - What fields are available
  • Data types - INTEGER, TEXT, DATETIME, etc.
  • Sample data - 3 example rows to understand content
  • Primary keys - Unique identifiers for rows
  • Foreign keys - Relationships to other tables

3. Map Relationships

Identify how tables connect:

  • Look for columns ending in "Id" (e.g., CustomerId, ArtistId)
  • Foreign keys link to primary keys in other tables
  • Document parent-child relationships

This is the opening of the README. Read the full README on GitHub.

Frequently asked about Schema Exploration

  • What else does Idun-Group publish alongside Schema Exploration?

    Schema Exploration is one of 2 skills that DirSkills catalogs from Idun-Group/idun-agent-platform, the repository it ships in. Its siblings there include Query Writing. Each one is a separate skill with its own page in this directory, installs the same way Schema Exploration does, and is maintained by Idun-Group in that same repository. The rest of the collection is listed on the Idun-Group/idun-agent-platform page.

  • How does Schema Exploration compare to other Data skills?

    Schema Exploration ranks #705 by stars among the 762 Data skills in this catalog. The most-starred ones next to it are Benchmark Methodology, Jupyter Notebook and Solana. DirSkills ranks by the star count of the repository each skill ships in, so that order reflects how popular those repositories are rather than any review of Schema Exploration against them. Open each page to compare what they document and how they install.