菜单
SkillsMP 已收集 Emily2040/data-science-agent-skills 中的 25 个 Skill。打开任一 Skill 可查看来源和详情。
已展示 25 / 25 个已收集 Skill。
Convert analysis into stakeholder-ready insight narratives that state decisions, evidence, uncertainty, and recommended action without overclaiming. Use when an agent needs a judgment-heavy data science workflow for convert analysis into decision-grade…
原文语言：英语
Help teams decide what can be learned responsibly from small, imbalanced, expensive, or scarce datasets. Use when an agent needs a judgment-heavy data science workflow for avoid overfitting scarce data, including evidence review, local artifact inspection,…
原文语言：英语
Reconstruct practical lineage across SQL, notebooks, scripts, dashboards, model artifacts, and pipeline configs. Use when an agent needs a judgment-heavy data science workflow for rebuild lineage from sql, notebooks, and configs, including evidence review,…
原文语言：英语
Convert data science prototypes into engineering-ready ML handoffs with contracts, artifacts, SLOs, monitoring, and ownership. Use when an agent needs a judgment-heavy data science workflow for turn prototypes into engineering handoffs, including evidence…
原文语言：英语
Guide data science work on sensitive data using minimization, local-first analysis, de-identification, synthetic data, or privacy-preserving methods. Use when an agent needs a judgment-heavy data science workflow for choose safe analysis patterns for…
原文语言：英语
Audit open-source packages, notebooks, model weights, datasets, licenses, and provenance used in data science work. Use when an agent needs a judgment-heavy data science workflow for audit ds dependencies, models, data, and licenses, including evidence…
原文语言：英语
Convert exploratory notebooks into modular, parameterized scripts or orchestrated pipeline tasks. Use when an agent needs a judgment-heavy data science workflow for refactor notebooks into maintainable pipelines, including evidence review, local artifact…
原文语言：英语
Package notebooks so another machine or teammate can reproduce their results with known data, environment, seeds, and order. Use when an agent needs a judgment-heavy data science workflow for make notebooks runnable elsewhere, including evidence review, local…
原文语言：英语
Create concise model risk and compliance memos for review, audit, launch, or executive approval. Use when an agent needs a judgment-heavy data science workflow for create governance-ready model risk memos, including evidence review, local artifact inspection,…
原文语言：英语
Diagnose missing-data mechanisms and design imputation, exclusion, or sensitivity plans. Use when an agent needs a judgment-heavy data science workflow for diagnose missing data before imputation, including evidence review, local artifact inspection, risk…
原文语言：英语
Review whether a chosen data science metric actually supports the decision, user outcome, risk, and cost tradeoff. Use when an agent needs a judgment-heavy data science workflow for align metrics with real decisions, including evidence review, local artifact…
原文语言：英语
Design transparent, reversible cleaning plans for messy datasets without silently mutating evidence. Use when an agent needs a judgment-heavy data science workflow for design reversible data cleaning plans, including evidence review, local artifact…
原文语言：英语
Actively search ML datasets and pipelines for target, temporal, group, split, join, and preprocessing leakage. Use when an agent needs a judgment-heavy data science workflow for attack ml pipelines for leakage, including evidence review, local artifact…
原文语言：英语
Decide whether a feature store is needed and design features to avoid training-serving skew, staleness, and reuse confusion. Use when an agent needs a judgment-heavy data science workflow for decide when a feature store is worth it, including evidence review,…
原文语言：英语
Preserve experiment provenance across code, data, environment, parameters, metrics, artifacts, and human decisions. Use when an agent needs a judgment-heavy data science workflow for capture code, data, env, and decision history, including evidence review,…
原文语言：英语
Design evaluation strategies that match task type, deployment setting, time, groups, and decision risk. Use when an agent needs a judgment-heavy data science workflow for design trustworthy model evaluation, including evidence review, local artifact…
原文语言：英语
Design drift monitoring for production models and data products across data, concept, performance, and operational signals. Use when an agent needs a judgment-heavy data science workflow for design data, concept, and performance drift monitors, including…
原文语言：英语
Structure collaboration between data scientists, AI agents, and domain experts when domain judgment is required. Use when an agent needs a judgment-heavy data science workflow for structure sme review for agent-assisted ds, including evidence review, local…
原文语言：英语
Infer practical data contracts, schema expectations, and validation tests from messy real datasets. Use when an agent needs a judgment-heavy data science workflow for infer contracts and tests from messy data, including evidence review, local artifact…
原文语言：英语
Run root-cause analysis for broken models, metrics, dashboards, pipelines, and data science decisions. Use when an agent needs a judgment-heavy data science workflow for diagnose broken models and dashboards, including evidence review, local artifact…
原文语言：英语
Turn ambiguous business, product, policy, or research asks into decision-ready data science problem statements. Use when an agent needs a judgment-heavy data science workflow for turn vague asks into measurable ds problems, including evidence review, local…
原文语言：英语
Plan compute use so data science experiments, model training, and inference stay within budget and latency constraints. Use when an agent needs a judgment-heavy data science workflow for plan gpu, cloud, and sampling costs, including evidence review, local…
原文语言：英语
Clarify when a data science request needs causal reasoning, what assumptions are required, and what evidence is missing. Use when an agent needs a judgment-heavy data science workflow for stop predictive work from pretending causality, including evidence…
原文语言：英语
Design honest baselines and ablations before complex models are accepted. Use when an agent needs a judgment-heavy data science workflow for force honest baselines and ablations, including evidence review, local artifact inspection, risk classification,…
原文语言：英语
Assess whether a dataset or data domain is ready for AI, analytics, or modeling before a project commits time and budget. Use when an agent needs a judgment-heavy data science workflow for score whether data is usable for ai work, including evidence review,…
原文语言：英语