Generates editable, traceable plans for Kubernetes-based AI projects.
npx skills add https://github.com/edwinhu/workflows --skill ds-plan
Please help me install this Agent Skill. Skill: ds-plan Source: https://github.com/edwinhu/workflows/tree/main/lib/skills/ds-plan Command: npx skills add https://github.com/edwinhu/workflows --skill ds-plan
This Skill addresses the critical need for structured data profiling and task breakdown in data science workflows, preventing common pitfalls like starting analysis without understanding the data or creating vague, unexecutable plans.
Use the ds-plan skill to profile the data and create an analysis plan based on the spec.
High-intent search queries and answers about installing and using this skill.
Data profiling checks assess data shape, types, missing values, duplicates, and distributions to identify data quality issues. This mechanism prevents starting analysis without understanding the data and avoids creating vague, unexecutable plans.
Assess ETL strategies by evaluating filter push-down, parallelism, intermediate caching, and incremental scale-up. This guides decisions on filtering and scaling to ensure an efficient data processing workflow for your analysis tasks.
The best way to profile datasets is performing comprehensive checks on data shape, types, missing values, duplicates, and distributions. This approach identifies potential data quality issues and creates a robust, step-by-step cleaning and transformation plan.
When your data science analysis plan not working is caused by vague tasks, task breakdown generates an ordered list of actionable analysis tasks. This prevents common pitfalls by ensuring a robust, executable workflow for cleaning, transformation, and analysis.
proffesor-for-testingPlan and execute load, stress, and scalability tests to identify performance bottlenecks.
Phife726Analyze datasets with SQL, pandas, and statistical methods.
vuralserhat86Build Python data pipelines with Polars, DuckDB, Statsmodels, and Prefect.
thbraetGenerate a Jupyter notebook and CRISP-DM summary document from exploratory data analysis.
