schema-exploration

$npx mdskill add langchain-ai/deepagents/schema-exploration

Explore database schemas, columns, and entity relationships instantly.

  • Reveals tables, column types, foreign keys, and ERD structures.
  • Integrates with sql_db_list_tables and sql_db_schema tools.
  • Analyzes column names and data patterns to infer relationships.
  • Delivers structured summaries of tables and their interconnections.

SKILL.md

.github/skills/schema-explorationView on GitHub ↗
---
name: schema-exploration
description: Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about database schema, table structure, column types, what tables exist, ERD, foreign keys, or how entities relate.
---

# 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

### 4. Answer the Question
Provide clear information about:
- Available tables and their purpose
- Column names and what they contain
- How tables relate to each other
- Sample data to illustrate content

## Example: "What tables are available?"

**Step 1:** Use `sql_db_list_tables`

**Response:**
```
The Chinook database has 11 tables:
1. Artist - Music artists
2. Album - Music albums
3. Track - Individual songs
4. Genre - Music genres
5. MediaType - File formats (MP3, AAC, etc.)
6. Playlist - User-created playlists
7. PlaylistTrack - Tracks in playlists
8. Customer - Store customers
9. Employee - Store employees
10. Invoice - Customer purchases
11. InvoiceLine - Individual items in invoices
```

## Example: "What columns does the Customer table have?"

**Step 1:** Use `sql_db_schema` with table name "Customer"

**Response:**
```
The Customer table has these columns:

- CustomerId (INTEGER) - Primary key, unique customer ID
- FirstName (NVARCHAR) - Customer's first name
- LastName (NVARCHAR) - Customer's last name
- Company (NVARCHAR) - Company name (optional)
- Address, City, State, Country, PostalCode - Location fields
- Phone (NVARCHAR) - Phone number
- Fax (NVARCHAR) - Fax number
- Email (NVARCHAR) - Email address
- SupportRepId (INTEGER) - Foreign key to Employee table

Sample data shows customers like:
- Luís Gonçalves from Brazil
- Leonie Köhler from Germany
- François Tremblay from Canada
```

## Example: "How do I find revenue by artist?"

**Step 1:** Identify tables needed
- Artist (has artist names)
- Album (links artists to tracks)
- Track (links albums to sales)
- InvoiceLine (has sales data)
- Invoice (has revenue totals)

**Step 2:** Map relationships
```
Artist (ArtistId)
  ↓ 1:many
Album (ArtistId, AlbumId)
  ↓ 1:many
Track (AlbumId, TrackId)
  ↓ 1:many
InvoiceLine (TrackId, UnitPrice, Quantity)
```

**Response:**
```
To find revenue by artist, you'll need to:
1. Start with the Artist table
2. JOIN to Album on ArtistId
3. JOIN to Track on AlbumId
4. JOIN to InvoiceLine on TrackId
5. SUM the revenue (UnitPrice * Quantity)
6. GROUP BY artist name

This requires the query-writing skill to execute.
```

## Quality Guidelines

**For "list tables" questions:**
- Show all table names
- Add brief descriptions of what each contains
- Group related tables (e.g., music catalog, transactions, people)

**For "describe table" questions:**
- List all columns with data types
- Explain what each column contains
- Show sample data for context
- Note primary and foreign keys
- Explain relationships to other tables

**For "how do I query X" questions:**
- Identify required tables
- Map the JOIN path
- Explain the relationship chain
- Suggest next steps (use query-writing skill)

More from langchain-ai/deepagents

SkillDescription
analyze-market>-
arxiv-searchSearches arXiv for preprints and academic papers, retrieves abstracts, and filters by topic. Use when the user asks to find research papers, search arXiv, look up preprints, find academic articles in physics, math, CS, biology, statistics, or related fields.
blog-postWrites and structures long-form blog posts, creates tutorial outlines, and optimizes content for SEO with cover image generation. Use when the user asks to write a blog post, article, how-to guide, tutorial, technical writeup, thought leadership piece, or long-form content.
code-reviewPerform a structured code review of changes, checking for correctness, style, tests, and potential issues.
coding-prefsRead the user's coding preferences from /memory/coding-prefs.md before making non-trivial style decisions, and append new preferences when the user gives durable feedback.
competitor-analysis>-
cudf-analyticsUse for GPU-accelerated data analysis on datasets, CSVs, or tabular data using NVIDIA cuDF. Triggers when tasks involve groupby aggregations, statistical summaries, anomaly detection, or large-scale data profiling.
cuml-machine-learningUse for GPU-accelerated machine learning on tabular data using NVIDIA cuML. Triggers when tasks involve classification, regression, clustering, dimensionality reduction, or model training on datasets.
data-visualizationUse for creating publication-quality charts and multi-panel analysis summaries. Triggers when tasks involve visualizing data, plotting results, creating charts, or producing visual reports from analysis output.
gpu-document-processingUse when processing large PDFs, document collections, or bulk text extraction tasks that benefit from GPU-accelerated processing. Triggers when the user provides large documents or needs bulk document analysis.