Agens dask

skill_id: dask name: dask description: Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars. version: 1.0.0 author: K-Dense Inc. license: BSD-3-Clause license tags:

• scientific-agent-skills
• dask tools: [] permissions: network: false filesystem: false shell: false agents:
• executor_agent enabled: true source: scientific-agent-skills entrypoint: entry.py readme: README.md input_schema: {} output_schema: type: object metadata: upstream_repo: K-Dense-AI/scientific-agent-skills upstream_skill: dask upstream_path: scientific-skills/dask/SKILL.md upstream_frontmatter: name: dask description: Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars. license: BSD-3-Clause license metadata: skill-author: K-Dense Inc.