
Data Context Extractor
This is a bootstrapping tool for data teams who are tired of explaining their warehouse schema to Claude every single conversation. It walks you through schema discovery, asks targeted questions about your metrics and terminology (like "when you say 'user' what do you actually mean?"), then generates a company-specific data analyst skill with reference files. You can run it once to create the initial skill or use iteration mode to add new domains. The real value is capturing tribal knowledge about gotchas, standard filters, and metric calculations so future Claude sessions already know that ARR excludes test accounts and the users table has three different ID columns. Saves you from writing this documentation yourself.
- skills.sh installs
- 3.2K
- GitHub stars
- 35.3K
- last updated
- Aug 21, 2026
Install
$ npx -y skills add anthropics/knowledge-work-plugins --skill data-context-extractor --agent claude-codeInstalls into .claude/skills of the current project.
Files
Data Context Extractor
A meta-skill that extracts company-specific data knowledge from analysts and generates tailored data analysis skills.
How It Works
This skill has two modes:
- Bootstrap Mode: Create a new data analysis skill from scratch
- Iteration Mode: Improve an existing skill by adding domain-specific reference files
Bootstrap Mode
Use when: User wants to create a new data context skill for their warehouse.
Phase 1: Database Connection & Discovery
Step 1: Identify the database type
Ask: "What data warehouse are you using?"
Common options:
- BigQuery
- Snowflake
- PostgreSQL/Redshift
- Databricks
Use ~~data warehouse tools (query and schema) to connect. If unclear, check available MCP tools in the current session.
Step 2: Explore the schema
Use ~~data warehouse schema tools to:
- List available datasets/schemas
- Identify the most important tables (ask user: "Which 3-5 tables do analysts query most often?")
- Pull schema details for those key tables
Sample exploration queries by dialect:
-- BigQuery: List datasets
SELECT schema_name FROM INFORMATION_SCHEMA.SCHEMATA
Sponsors
Details
- Repository
- github.com/anthropics/knowledge-work-plugins
- Categories
- Backend & APIs, Databases
- First seen
- Apr 16, 2026
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