Skip to main content
Glama

lucid-skill

AI-native data analysis skill. Connect Excel, CSV, MySQL, PostgreSQL — understand business semantics, query with SQL.

No API key required. No LLM inside — the AI agent is the brain; lucid-skill is the hands.


Features

  • Multi-source: Excel (.xlsx/.xls), CSV, MySQL, PostgreSQL — all unified into SQL

  • Semantic Layer: Define business meanings for tables and columns; persist as YAML, Git-friendly

  • JOIN Discovery: Automatically find join paths between tables (direct + indirect)

  • Domain Clustering: Auto-group tables into business domains

  • Embedding Search: Optional multilingual vector search for table discovery

  • Read-only Safety: Only SELECT allowed — mutating SQL is blocked at the engine level


Install

pip install lucid-skill

# Or with uv (recommended for OpenClaw)
uv tool install lucid-skill

# Optional: database drivers
pip install "lucid-skill[db]"       # MySQL + PostgreSQL

# Optional: embedding search
pip install "lucid-skill[embedding]" # sentence-transformers

Quick Start

# Connect a data source
lucid-skill connect csv /path/to/sales.csv

# Explore schema and semantics
lucid-skill init-semantic

# Search tables by business meaning
lucid-skill search "销售额 客户"

# Query with SQL
lucid-skill query "SELECT product, SUM(amount) FROM sales GROUP BY product ORDER BY 2 DESC LIMIT 10"

Architecture

Agent ──→ lucid-skill CLI ──→ Connectors (Excel/CSV/MySQL/PG)
                │                      │
                ├── Catalog (DuckDB)   └── DuckDB (in-memory query engine)
                └── Semantic Store (YAML)
  • No LLM inside — lucid-skill provides data access; the AI agent handles reasoning

  • DuckDB unified — catalog storage + query engine, single dependency, no compilation needed

  • Semantic persistence — YAML definitions survive restarts, shareable via Git


Supported Data Sources

Type

Format

Notes

Excel

.xlsx, .xls

Multiple sheets supported

CSV

.csv

Auto-detects encoding and delimiter

MySQL

5.7+ / 8.0+

Reads foreign keys and column comments (pip install lucid-skill[db])

PostgreSQL

12+

Reads foreign keys and column comments (pip install lucid-skill[db])


Environment Variables

Variable

Default

Description

LUCID_DATA_DIR

~/.lucid-skill/

Data directory (catalog, semantic store, models)

LUCID_EMBEDDING_ENABLED

false

Enable vector search (~460 MB model download on first use)


Security

  • Read-only: Only SELECT / WITH statements are allowed; all mutating SQL is blocked

  • No credentials stored: Database passwords are never written to disk

  • Local only: All data stays on your machine


MCP Server Mode

lucid-skill also works as an MCP Server for platforms that support it:

lucid-skill serve

Development

git clone https://github.com/WiseriaAI/lucid-skill
cd lucid-skill
pip install -e ".[dev]"
pytest

License

MIT

A
license - permissive license
-
quality - not tested
C
maintenance

Latest Blog Posts

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/WiseriaAI/lucid-skill'

If you have feedback or need assistance with the MCP directory API, please join our Discord server