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Data & Analytics · By gaasher
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | A skill your agent uses when the user wants to evolve an ML model/program through population-based search rather than a single sequential refine loop — a generational evolution where parallel… | gaasher/ | 174 | — | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | A skill your agent uses when the user has a known, already-observed anomaly in their data — a metric spike or drop, an outlier, an unexpected number — and wants its root cause diagnosed, not guessed. | gaasher/ | 174 | — | ~2.1k | Automated safety check: Pass | MIT | 3 mo ago |
| 3 | A skill your agent uses when the user wants an iterative, self-checking exploratory analysis of a dataset — surfacing findings that are each verified by re-running the computation, not asserted. | gaasher/ | 174 | — | ~1.9k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | A skill your agent uses when the user is planning a two-arm comparison (an A/B test, a simple RCT, a behavioral study, or a two-model/two-config evaluation) and needs to size it and preregister it… | gaasher/ | 174 | — | ~2.2k | Automated safety check: Pass | MIT | 3 mo ago |
| 5 | A skill your agent uses when the user has a messy tabular data dump (CSV/TSV/parquet/Excel/JSON) and wants it iteratively cleaned to an inferred data contract — a checklist of deterministic… | gaasher/ | 174 | — | ~4k | Automated safety check: Pass | MIT | 3 mo ago |
