ktx-ai-data-context-layer
Installation
SKILL.md
ktx AI Data Context Layer
Skill by ara.so — AI Agent Skills collection.
ktx is a self-improving context layer that teaches AI agents how to query your data warehouse accurately. It ingests metadata from databases, dbt, Looker, Metabase, and wikis to build a semantic layer with approved metric definitions, joinable columns, and business knowledge. Agents access this through MCP (Model Context Protocol) tools and CLI commands.
What ktx Does
- Learns from company knowledge — ingests wiki content, removes duplicates, flags contradictions
- Maps the data stack — samples tables, detects joinable columns, captures metadata and usage patterns
- Builds a semantic layer — combines raw tables and high-level metrics with automatic join resolution
- Serves agents at execution — exposes CLI and MCP tools with semantic search across wiki and semantic-layer entities
Works with PostgreSQL, Snowflake, BigQuery, ClickHouse, MySQL, SQL Server, and SQLite. Integrates with dbt, MetricFlow, LookML, Looker, Metabase, and Notion.