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Data & Analytics · ericrisco/rsc-harness

7 skills found.
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1

A skill your agent uses when designing or analyzing a controlled experiment — falsifiable hypothesis, sample size from an MDE, reading significance/CI/power, CUPED, or rescuing tests that won't go…

ericrisco/rsc-harness190—~2.4kAutomated safety check: PassMITyesterday
2

A skill your agent uses when a metric (revenue, MRR, margin) needs defining once in a governed semantic layer so every dashboard, report and agent returns the same number, or when an LLM must answer…

ericrisco/rsc-harness180—~2.5kAutomated safety check: PassMIT2 days ago
3

A skill your agent uses when a raw table is too dirty to trust — nulls, sentinels, duplicate rows, category sprawl, mixed types, bad dates — and you need a re-runnable clean() plus a schema gate…

ericrisco/rsc-harness180—~3.6kAutomated safety check: PassMIT2 days ago
4

A skill your agent uses when data lives on a website with no usable API — listings, prices, public records — and the scrape must stay legal and not get blocked: legal gate, extraction path, durable…

ericrisco/rsc-harness180—~3.3kAutomated safety check: PassMIT2 days ago
5

A skill your agent uses when projecting history forward — sales, demand, units, revenue, signups, traffic — into a defensible number with an error band: method by data shape, rolling-origin…

ericrisco/rsc-harness180—~2.8kAutomated safety check: PassMIT2 days ago
6

A skill your agent uses when predicting a column from rows of tabular features with classic models — scikit-learn pipelines, RandomForest, XGBoost/LightGBM, leak-free cross-validation, metrics for…

ericrisco/rsc-harness180—~4.2kAutomated safety check: PassMIT2 days ago
7

A skill your agent uses when assembling or curating the corpus a fine-tune trains on — turning raw examples into the JSONL shape a trainer expects (instruction, conversational, preference-pair or…

ericrisco/rsc-harness180—~3.7kAutomated safety check: PassMIT2 days ago