Dial in an espresso shot by steering the dose–yield–time triangle from taste. Use when an espresso tastes sour, bitter, or hollow, when switching beans or roast, or when a shot runs too fast or too slow and you need a concrete grind/dose/yield adjustment.
Profile a CSV or tabular file before analysis — row and column counts, inferred types, missing-value rates, cardinality, and basic numeric stats. Use when handed an unfamiliar dataset and you need to understand its shape, spot data-quality problems, and decide what to clean before drawing any conclusions.
Review a code change (a diff, pull request, or commit) for correctness, risk, and clarity before it merges. Use when asked to review a diff or PR, when deciding whether a change is safe to ship, or when you need to turn a raw diff into concrete, prioritized review feedback.
Point at any topic to build a compounding, domain-general expertise knowledge base: a high-fidelity source corpus, track-record-weighted experts, reconciled falsifiable stances, failure modes, benchmarks, and a proven playbook — built as evergreen notes a future agent can load and reason over. Use when the user wants…