# Add to your Claude Code skills
git clone https://github.com/datadata-team/datadata-skillsGuides for using ai agents skills like datadata-skills.
Last scanned: 5/30/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-05-30T17:06:20.311Z",
"npmAuditRan": true,
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}datadata-skills is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by datadata-team. It has 0 GitHub stars.
Yes. datadata-skills passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/datadata-team/datadata-skills" and add it to your Claude Code skills directory (see the Installation section above).
datadata-skills is primarily written in Python. It is open-source under datadata-team on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh datadata-skills against similar tools.
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Agent skills for the Datadata analytics platform.
npx skills add datadata-team/datadata-skills
Tip: If you use pnpm, replace
npxwithpnpx:pnpx skills add datadata-team/datadata-skills
Interact with Datadata through natural language. Two core capabilities:
Query data — Inspect datasource metadata, list tables, describe column schemas, run SQL queries (DuckDB / ClickHouse, cross-source joins), download results as NDJSON or CSV.
Ingest data — Create tables in Data Spaces (ducklake), batch-insert rows, drop tables. Ingested data is immediately queryable via standard SQL.
See skills/datadata-api/SKILL.md for detailed usage.
Write DQL (Datadata Query Language) scripts — a Starlark-based scripting language for data transformation, cleaning, generation, and custom processing logic. Supports DataFrame/Series operations, SQL queries, HTTP requests, 2D drawing, and more.
See skills/datadata-dql/SKILL.md for detailed usage.
The skill supports two ways to authenticate:
If no API Key is configured, the agent will automatically guide you through device authorization when you first run a command — just follow the link displayed in the terminal to complete sign-in. The key is then cached locally for 90 days.
Create an API Key in the Datadata platform with the required permissions:
| Permission | Purpose |
|---|---|
queries:execute-adhoc |
Run SQL queries |
executions:get |
Retrieve query results |
datasources:read |
Read datasource metadata |
datasources:scan |
Trigger async schema scans |
data-spaces:write |
Create tables and insert data |
export DATADATA_API_KEY="ak_..."