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SkillsMP hat 25 Skills aus Emily2040/data-science-agent-skills gesammelt. Öffne einen Skill, um Quelle und Details zu prüfen.
Es werden 25 von 25 gesammelten Skills angezeigt.
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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…
Quellsprache: Englisch
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,…
Quellsprache: Englisch
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,…
Quellsprache: Englisch