Khodzitcky Vladimir
Community@khodzitcky-vl · Moscow (Russia)
Data Analyst
Agent Skills by Khodzitcky Vladimir
Showing 14 vetted skills indexed across 1 GitHub repositories.
ds-notebook-reproducibility
Restructure analytical notebooks for rerunnable, consistent results across clean kernel restarts.
ds-analysis-plan
Convert a research question into a reproducible SQL, pandas, or notebook analysis plan.
ds-requesting-analysis-review
Request an independent methodological review of analytics results before publishing decisions.
ds-notebook-readability
Add intent-focused markdown and docstring explanations to analytical notebooks.
ds-receiving-analysis-review
Evaluate analysis review feedback for methodological validity before implementing changes.
ds-experiment-design
Design A/B experiments with causal structure, aligned units, and decision rules.
ds-subagent-driven-analysis
Execute data-science analysis plans by dispatching fresh subagents per task.
ds-systematic-debugging
Trace notebook and SQL output mismatches back to the first broken transformation.
ds-metric-validation
Validates metric definitions and detects risks in experiment readouts.
ds-dispatching-parallel-agents
Parallelize independent data-science tasks with disjoint write scope.
ds-verification-before-completion
Rerun analyses to verify estimates, intervals, and conclusions before final claims.
ds-using-superpowers
Route data science requests to matching local ds- skills before analysis.
ds-executing-plans
Execute analysis plans in verified batches with checkpointed evidence.
ds-brainstorming
Transform vague analytics requests into explicit analytical designs with hypotheses and metrics.