github:K-Dense-AI/claude-scientific-skills · first committed 2026-05-27 · source · badge
Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. Covers DataFrames, Arrays, Bags, Futures, chunking, schedulers, and distributed diagnostics. Use for partitioned file processing, scientific array computation, or parallel tasks whose memory and dependency structure require Dask.
Skill Health 100 (freshness and quality)estimated by backskills
Listed, not yet scored. This skill has no public model test yet. It is in the scoring queue; submitted skills go first, then the most-installed.
Freshness 100 · Quality 100 · Efficacy not yet tested
Version history
7 commits to this file on GitHub (newest first).
2026-10-01 · commit a92663a · Updatea all skills to lates API endpoints, packages and docs
2026-09-30 · commit ce9e6e9 · Update skill versions and enhance documentation across multiple skills
2026-09-02 · commit 1e5eeff · Update version numbers and enhance skill documentation