Db Explorer
by cristianoliveira
Connect to PostgreSQL, MySQL, or SQLite databases to explore schema structure, table relationships, and generate ERD diagrams. Use when the user asks to explore a database, document schema, or understand table relationships.
Skill Details
Repository Files
3 files in this skill directory
name: db-explorer description: Connect to PostgreSQL, MySQL, or SQLite databases to explore schema structure, table relationships, and generate ERD diagrams. Use when the user asks to explore a database, document schema, or understand table relationships.
Database Explorer
Analyze database schema and generate Markdown documentation with Mermaid ERD diagrams.
Workflow
- Check credentials: Run
scripts/db_connect.py --check-env - If credentials missing: Ask the user for:
- Database type (postgres/mysql/sqlite)
- For SQLite: path to the .db file
- For PostgreSQL/MySQL: host, port, database name, username, password
- Test connection:
scripts/db_connect.py --test --type <type> --host <host> --database <db> --user <user> --password <pass> - Extract schema:
scripts/schema_extractor.py --output markdown --file .tmp/docs/db-schema-{dbname}.md
Environment Variables (optional)
Users can pre-set credentials to skip prompts:
- PostgreSQL:
PGHOST,PGPORT,PGDATABASE,PGUSER,PGPASSWORD - MySQL:
MYSQL_HOST,MYSQL_TCP_PORT,MYSQL_DATABASE,MYSQL_USER,MYSQL_PWD - SQLite:
SQLITE_DATABASE - Alternative:
DATABASE_URL(e.g.,postgresql://user:pass@host:5432/dbname)
Mermaid ERD Notation
||--||One-to-one||--o{One-to-many||--|{One-to-many (required)
Security
- Never log or echo passwords in output
- Query system tables only, never user data
Related Skills
Xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Analyzing Financial Statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Data Storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Kpi Dashboard Design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Dbt Transformation Patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Sql Optimization Patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Clinical Decision Support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug develo
Anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.
