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man-groupman-groupOfficial·2 Agent Skills Included

ArcticDB

Fast serverless DataFrame database for Python time-series data

Stores and queries billions of rows of Pandas DataFrames directly on S3, LMDB, or Azure without running a database server. Eliminates slow CSV handling, schema migrations, and overloaded database servers with a compressed C++ engine. Supports time travel, snapshots, and schemaless appends so analysts can version and filter huge datasets with simple Python code.
2,504|215
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npx skills add man-group/ArcticDB --all -g -y
Available:

Gives the AI agent the project's build commands, test-driven development rules, and documentation update requirements so it can safely modify and verify ArcticDB code.

All Skills in This Repository (2)

Pure Emerald Level Indicators
📦 In Repo
man-groupman-group

review-pr

Review ArcticDB pull requests and post deduplicated inline comments.

Official
Advanced
📦 In Repo
man-groupman-group

update-docs

Review code changes and update ArcticDB documentation including docstrings, tutorials, and technical docs.

Official
Intermediate

Frequently Asked Questions

FAQPage Schema
How to install ArcticDB?▼

Run `npx skills add man-group/ArcticDB --all -g -y` in your terminal to install all tools in this suite globally.

What is ArcticDB used for?▼

ArcticDB is a serverless DataFrame database that stores and queries huge time-series datasets, like tick data for hundreds of thousands of securities, directly from Python.

Does ArcticDB need a database server?▼

No. It reads and writes compressed data straight to S3, LMDB, or Azure Blob Storage, so there is no server to deploy or overload.

Can ArcticDB handle time-series versioning?▼

Yes. It supports time travel and snapshots, letting you read previous versions of your data and append new rows without schema constraints.

Is ArcticDB free to use?▼

The source is available under the Business Source License, which converts to Apache 2.0 over time, but production or commercial use requires a paid license from ArcticDB Limited.

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