Datadata Skills

Agent skills for the Datadata analytics platform.

Installation

npx skills add datadata-team/datadata-skills

Tip: If you use pnpm, replace npx with pnpx:

pnpx skills add datadata-team/datadata-skills

Skills

datadata-manual (recommended)

Datadata platform operations manual — interact with data through MCP Server, no API Key required, OAuth authentication.

Query data — Search datasources, inspect metadata, list tables, describe column schemas, run SQL queries (DuckDB / ClickHouse, cross-source joins), set table/column comments, execute DQL scripts.

Manage Data Spaces — Create tables, batch-insert rows, describe table structures, drop tables.

See skills/datadata-manual/SKILL.md for detailed usage.

datadata-rest-api

Datadata REST API complete reference — all endpoint documentation with urllib.request (zero-dependency) usage examples. Primary use case: generating standalone Python scripts (crawlers, ETL, batch processing). Requires API Key.

See skills/datadata-rest-api/SKILL.md for detailed usage.

datadata-memory

Manage AI persistent memories via Datadata MCP Server — add atomic facts, semantic search, update corrections, delete cleanup. Supports merge & compress (auto-dedup similar memories) and conflict merge (keep latest info while preserving change history).

See skills/datadata-memory/SKILL.md for detailed usage.

datadata-dql

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.

datadata-python

Write Python data query scripts — real Python (RustPython/WASM sandbox) with a Polars-style DataFrame/Series/Expr API, SQL data access via query(), and HTTP requests via fetch(). For data transformation, cleaning, generation, and custom processing logic.

See skills/datadata-python/SKILL.md for detailed usage.

Authentication

datadata-manual (recommended): Uses OAuth — sign in once, no API Key needed.

datadata-rest-api: Two ways to authenticate:

Automatic (recommended)

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.

Manual (fallback)

Create an API Key in the Datadata platform with the required permissions:

1. Sign in to datadata.com
2. Avatar → Settings → "API Keys" (left sidebar) → Create a new key
3. Select the required permissions
4. Set it as an environment variable:

export DATADATA_API_KEY="ak_..."