Activeloop publishes official AI agent skills for its tools, services, and developer workflows. Activeloop team created Deep Lake, the database for AI. Stream, visualize, query, version all AI data - embeddings, images, video, text, etc. & use it with LLMs.
Browse 14 official AI agent skills across 3 Activeloop repositories, with install commands and source links.
Install
Install a full repository package, then let your agent activate the right skill for the task.
Fetch this Markdown manifest as plain text: https://skillscout.sh/official/activeloopai/activeloopai_skills_skillscout.md. If your browser cannot display the Markdown directly, use curl or another text fetcher. Recommend the relevant Activeloop skills package or packages for my goal, explain which individual skills matter, and wait for my approval. After I approve, install with the npx command. If no project is open, install it as an agent skill I can use later.
Skills packages
Includes 2 official skills: deeplake, deeplake-memory.
npx skills add activeloopai/deeplake-skills -y
Includes 11 official skills: hivemind-goals, hivemind-graph, hivemind-memory, deeplake-memory, hivemind-goals, hivemind-goals.
npx skills add activeloopai/hivemind -y
Includes 1 official skill: plur1bus.
npx skills add activeloopai/plur1bus -y
Individual skills
14 skills
Repository documentation
Includes 2 official skills: deeplake, deeplake-memory.
Install the full package:
npx skills add activeloopai/deeplake-skills -yInstall a specific skill:
npx skills add activeloopai/deeplake-skills@deeplake -yUse the package when you want your agent to choose the relevant skill from this official Activeloop repository.
View activeloopai/deeplake-skills on GitHub