Paper: "Skill issues'': data-centric optimization of lakehouse agents

type: paper title: ""Skill issues'': data-centric optimization of lakehouse agents" authors: Nicole Rose Schneider, Davide Ghilardi, Giacomo Piccinini, Jacopo Tagliabue year: 2026 venue: arXiv url: https://arxiv.org/abs/2606.01185 code_url: source: arxiv collected_at: 2026-07-08 published_at: 2026-05-31 updated_at: 2026-05-31 status: queued relevance: high topics:

agent-evaluation
coding-agent
planning
reasoning
tool-use
workflow-agent methods:

benchmarks:

models:

datasets:

cs.AI related_concepts:

related_jobs:

related_experiments:

related_projects:

collection_score: 13 collection_queries: agent-evaluation

One-line Takeaway

Auto-collected from arXiv because it matched the Agent collection queries. Needs human skim.

Why Collected

matched queries: agent-evaluation
inferred topics: agent-evaluation, coding-agent, planning, reasoning, tool-use, workflow-agent
arXiv categories: cs.AI
collection score: 13

Review Checklist

Does this paper directly inform Agent architecture, evaluation, memory, tools, safety, coding agents, GUI/browser agents, or multi-agent workflows?
Does it include a benchmark, dataset, code, or reproducible experimental setup?
Should it be promoted from queued to skimmed or summarized?

1.4 KiB Raw Blame History