data-science-agent-skills

In the author's own words, from each skill's SKILL.md.

• ai-data-readiness-triage

  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, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger…

  data-science-agent-skills/ai-data-readiness-triage/SKILL.md on GitHub (opens in a new tab)

• baseline-ablation-lab

  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, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot, Cursor, Windsurf…

  data-science-agent-skills/baseline-ablation-lab/SKILL.md on GitHub (opens in a new tab)

• causal-assumption-scout

  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 review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Tri…

  data-science-agent-skills/causal-assumption-scout/SKILL.md on GitHub (opens in a new tab)

• cost-aware-compute-planner

  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 artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Cod…

  data-science-agent-skills/cost-aware-compute-planner/SKILL.md on GitHub (opens in a new tab)

• data-question-framing

  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 artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Cod…

  data-science-agent-skills/data-question-framing/SKILL.md on GitHub (opens in a new tab)

• data-science-incident-rca

  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 inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gem…

  data-science-agent-skills/data-science-incident-rca/SKILL.md on GitHub (opens in a new tab)

• dataset-contract-forensics

  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 inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Ge…

  data-science-agent-skills/dataset-contract-forensics/SKILL.md on GitHub (opens in a new tab)

• domain-expert-collaboration-loop

  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 artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Cod…

  data-science-agent-skills/domain-expert-collaboration-loop/SKILL.md on GitHub (opens in a new tab)

• drift-monitor-designer

  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 evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent han…

  data-science-agent-skills/drift-monitor-designer/SKILL.md on GitHub (opens in a new tab)

• evaluation-reality-check

  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 inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemi…

  data-science-agent-skills/evaluation-reality-check/SKILL.md on GitHub (opens in a new tab)

• experiment-provenance-ledger

  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, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger f…

  data-science-agent-skills/experiment-provenance-ledger/SKILL.md on GitHub (opens in a new tab)

• feature-store-readiness

  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, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigge…

  data-science-agent-skills/feature-store-readiness/SKILL.md on GitHub (opens in a new tab)

• leakage-adversary

  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 inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, G…

  data-science-agent-skills/leakage-adversary/SKILL.md on GitHub (opens in a new tab)

• messy-data-cleanroom

  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 inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemin…

  data-science-agent-skills/messy-data-cleanroom/SKILL.md on GitHub (opens in a new tab)

• metric-design-review-board

  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 inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Cla…

  data-science-agent-skills/metric-design-review-board/SKILL.md on GitHub (opens in a new tab)

• missingness-mechanism-investigator

  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 classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, Copilot…

  data-science-agent-skills/missingness-mechanism-investigator/SKILL.md on GitHub (opens in a new tab)

• model-risk-compliance-memo

  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, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini…

  data-science-agent-skills/model-risk-compliance-memo/SKILL.md on GitHub (opens in a new tab)

• notebook-repro-packager

  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 artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for…

  data-science-agent-skills/notebook-repro-packager/SKILL.md on GitHub (opens in a new tab)

• notebook-to-pipeline-surgeon

  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 inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude,…

  data-science-agent-skills/notebook-to-pipeline-surgeon/SKILL.md on GitHub (opens in a new tab)

• oss-ds-supply-chain-auditor

  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 review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigg…

  data-science-agent-skills/oss-ds-supply-chain-auditor/SKILL.md on GitHub (opens in a new tab)

• privacy-preserving-ds

  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 sensitive data, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance,…

  data-science-agent-skills/privacy-preserving-ds/SKILL.md on GitHub (opens in a new tab)

• production-ml-handoff

  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 review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Tr…

  data-science-agent-skills/production-ml-handoff/SKILL.md on GitHub (opens in a new tab)

• semantic-lineage-mapper

  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, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger f…

  data-science-agent-skills/semantic-lineage-mapper/SKILL.md on GitHub (opens in a new tab)

• small-data-power-planner

  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, risk classification, stakeholder-ready decisions, reproducibility, governance, or agent-to-agent handoff. Trigger for Codex, Claude, Gemini, C…

  data-science-agent-skills/small-data-power-planner/SKILL.md on GitHub (opens in a new tab)

• stakeholder-insight-storyteller

  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 narrative, including evidence review, local artifact inspection, risk classification, stakeholder-ready decisions, reproducibility, governance, or…

  data-science-agent-skills/stakeholder-insight-storyteller/SKILL.md on GitHub (opens in a new tab)

No skill matches that filter.

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