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Data & Analytics · Dask · For data scientists
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use. | davila7/ | 33k | 10 repos | ~2.4k | Automated safety check: Pass | MIT | today |
| 2 | 2.Dask Parallel/distributed computing. An agent skill from davila7/claude-code-templates. | davila7/ | 33k | 11 repos | ~3.5k | Automated safety check: Pass | MIT | today |
| 3 | 3.Dask Scales pandas, NumPy, and custom Python research workflows beyond memory or across clusters with Dask. | K-Dense-AI/ | 48k | 1 repo | ~4.4k | Automated safety check: Notes | BSD-3-Clause | 6 days ago |
| 4 | A skill your agent uses when working with Dask Array: chunked NumPy-like arrays, dask.array.fromarray, chunk planning, slicing, mapblocks, blockwise, reductions, overlap, rechunking, generalized… | VectorSpaceLab/ | 331 | — | ~839 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 5 | Official NVIDIA-authored guidance for NVIDIA cuDF GPU DataFrames, pandas acceleration, dask-cuDF, ETL, joins, groupby, CSV/Parquet I/O, nullable semantics, and multi-GPU DataFrame workloads. | NVIDIA/ | 3.6k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | 2 days ago |
| 6 | Use this Dask sub-skill for configuration files and environment variables, the dask command line interface, local diagnostics/profiling/progress, callbacks/cache, scheduler/deployment documentation… | VectorSpaceLab/ | 331 | — | ~694 | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 7 | Use this Dask sub-skill for Dask DataFrame creation, CSV/Parquet/JSON/SQL IO, partitions and divisions, groupby/aggregation, joins/merge, shuffle, repartitioning, categorical/string/pyarrow… | VectorSpaceLab/ | 331 | — | ~1k | Automated safety check: Pass | BSD-3-Clause | 1 mo ago |
| 8 | Fast in-memory DataFrame with lazy evaluation, parallel execution, Arrow backend. | jaechang-hits/ | 374 | — | ~6.4k | Automated safety check: Pass | MIT | 12 days ago |
| 9 | Out-of-core DataFrame for billion-row data via lazy evaluation and memory-mapped files. | jaechang-hits/ | 374 | — | ~6.2k | Automated safety check: Pass | MIT | 12 days ago |
| 10 | Parallel/distributed computing for larger-than-RAM data. An agent skill from jaechang-hits/SciAgent-Skills. | jaechang-hits/ | 374 | — | ~4.1k | Automated safety check: Pass | BSD-3-Clause | 12 days ago |
