dask

Quick Review

Exceptional skill documentation for Dask parallel computing. The SKILL.md provides comprehensive coverage of when and how to use each Dask component (DataFrames, Arrays, Bags, Futures, Schedulers) with clear decision guides, practical examples, and critical performance rules. The structure is exemplary—concise overview with well-organized sections while deferring deep details to referenced files. Task knowledge is thorough, including workflow patterns, common pitfalls, debugging strategies, and integration considerations. The skill is highly novel as parallel/distributed computing with proper scheduler selection, chunking strategies, and memory management would consume substantial tokens and require deep expertise if done ad-hoc by a CLI agent. Minor room for improvement in the description field itself (could be slightly more explicit about the five components), but overall this is a well-crafted, production-ready skill that meaningfully reduces complexity and token costs for large-scale data processing tasks.