Updated 2mo ago
by aiopshwang
data-analysis-ml-agent-skills
Evidence-first AI agent skills for reliable data analysis, machine learning, model validation, and reproducibility.
21 GitHub stars (21)
+9 in 30 days
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- 7 skills (7 skills found in its SKILL.md files)
- 2 forks (2 forks)
- 2mo ago last update (Last updated 2mo ago)
Install
Skills CLI
npx skills add aiopshwang/data-analysis-ml-agent-skills
Asks which skills and agents to install. Just one: npx skills add aiopshwang/data-analysis-ml-agent-skills --skill auditing-data-and-ground-truth — add -g for every project.
Claude Code
git clone https://github.com/aiopshwang/data-analysis-ml-agent-skillscp -r "data-analysis-ml-agent-skills/skills/auditing-data-and-ground-truth" ~/.claude/skills/
Copies the auditing-data-and-ground-truth skill into ~/.claude/skills/ for every project (use .claude/skills/ for one project). Repeat for the other skills listed below.
Plugin
/plugin marketplace add aiopshwang/data-analysis-ml-agent-skills
Run inside Claude Code if the repository ships a plugin marketplace, then pick plugins from /plugin.
Skills can run code on your machine — read the SKILL.md first.
What it does
In the author's own words, from each skill's SKILL.md.
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auditing-data-and-ground-truth
Audit datasets, joins, labels, and ground truth before analysis or modeling. Use when data meaning, row grain, time semantics, source-of-truth reliability, or label construction may invalidate conclusions; not for general model evaluation after the evidence base is already trusted.
skills/auditing-data-and-ground-truth/ on GitHub (opens in a new tab)SKILL.md -
designing-leakage-safe-experiments
Design leakage-safe machine learning experiments that mirror real deployment and support fair model comparisons. Use when defining prediction timing, feature eligibility, train-validation-test splits, baselines, metrics, or controlled model iterations; not for auditing whether raw labels are trustworthy.
skills/designing-leakage-safe-experiments/ on GitHub (opens in a new tab)SKILL.md -
diagnosing-ml-failures
Isolate the root cause of ML performance drops, inconsistent evaluations, prediction errors, and training-serving mismatches across data, labels, splits, pipelines, models, metrics, and runtime behavior. Use when investigating a reproducible failure or regression, not routine model selection or general performance validation.
skills/diagnosing-ml-failures/ on GitHub (opens in a new tab)SKILL.md -
running-decision-grade-data-science
Orchestrate an end-to-end data analysis or machine learning project from decision framing through reproducible handoff. Use when a request spans multiple lifecycle stages or an ambiguous modeling request must become a decision-ready result; use narrower audit or experiment-design skills for isolated reviews.
skills/running-decision-grade-data-science/ on GitHub (opens in a new tab)SKILL.md -
shipping-reproducible-results
Package completed data analysis and ML work so an independent recipient can reproduce the claimed results, verify artifact lineage, and operate the handoff within its stated scope. Use when finalizing a project, study, model package, or review bundle; not for deploying to a live system.
skills/shipping-reproducible-results/ on GitHub (opens in a new tab)SKILL.md -
using-data-analysis
Route data analysis and machine learning work to the right skill in this suite. Use when starting any analysis, modeling, validation, or reproducibility task and the matching specialized skill is not yet clear; not needed when one specific skill already clearly applies.
skills/using-data-analysis/ on GitHub (opens in a new tab)SKILL.md -
validating-models-and-claims
Validate trained models and analytical claims against their intended decision, independent evidence, and human-reviewed ground truth. Use when reviewing model performance, analysis conclusions, launch claims, or evaluation reports; use failure diagnosis instead when the main task is locating a known defect.
skills/validating-models-and-claims/ on GitHub (opens in a new tab)SKILL.md
No skill matches that filter.
Review before you install
A skill is a set of instructions and scripts your agent will follow, and it can run code on your machine. Read the SKILL.md and any scripts first — this listing is not a security review.