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Choose skills by scenario, quality, and trust signals.

6 skills matching "data-science"

Best blend of quality, stars, freshness, and agent usage

1

Flyte

VERIFIEDEXCELLENT · 100

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

$ npx skills add flyteorg/flyte
7.0K stars69 qualityClaude Code
High-confidence pick with strong adoption and healthy maintenance signals.
goai-agents
by flyteorgQuick view
2

Zenml

VERIFIEDEXCELLENT · 100

ZenML 🙏: One AI Platform from Pipelines to Agents. https://zenml.io.

$ npx skills add zenml-io/zenml
5.4K stars68 qualityClaude Code
High-confidence pick with strong adoption and healthy maintenance signals.
pythonllmops
by zenml-ioQuick view
3

Hamilton

VERIFIEDEXCELLENT · 100

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.

$ npx skills add apache/hamilton
2.5K stars65 qualityClaude Code
High-confidence pick with strong adoption and healthy maintenance signals.
jupyter-notebookllmops
by apacheQuick view
4

Second Brain

STRONG · 80

Second Brain is an agentic framework that acts as an operating system, using local file intelligence, workflow automation, and LLMs to complete tasks and communicate over multiple modalities and messaging platforms.

$ npx skills add henrydaum/second-brain
532 stars53 qualityClaude Code
Solid option that is likely worth shortlisting for production workflows.
pythonai-agents
by henrydaumQuick view
5

DAT8

VERIFIEDPROMISING · 67

General Assembly's 2015 Data Science course in Washington, DC

$ npx skills add justmarkham/DAT8
1.6K stars49 qualityClaude Code
Useful candidate, but compare it with alternatives before adopting.Check: Repository looks stale
jupyter-notebookweb-automation
by justmarkhamQuick view
6

Complete-Life-Cycle-of-a-Data-Science-Project

$ npx skills add achuthasubhash/Complete-Life-Cycle-of-a-Data-Science-Project
641 stars38 qualityClaude Code
Inspect the repository carefully before adding it to an agent workflow.Check: Repository looks stale
web-automation
by achuthasubhashQuick view