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Data & Analytics · By magnus919
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | PhD-level expertise in data science, statistics, and machine learning. | magnus919/ | 289 | — | ~3.3k | Automated safety check: Pass | MIT | 3 mo ago |
| 2 | A skill your agent uses for PhD-level expertise in data science, statistics, and machine learning: rigorous statistical analysis, experimental design, causal inference, advanced modeling, research… | magnus919/ | 119 | — | ~4.1k | Automated safety check: Pass | MIT | today |
| 3 | A virtual data architect for teams who don't have one. An agent skill from magnus919/hermes-profiles. | magnus919/ | 289 | — | ~3.4k | Automated safety check: Pass | MIT | 3 mo ago |
| 4 | 4.Lastfm Interact with the Last.fm music data API: lookup user listening history, get artist/album/track metadata, discover similar music via collaborative filtering, explore global and per-country charts… | magnus919/ | 115 | — | ~2.3k | Automated safety check: Pass | MIT | yesterday |
| 5 | 5.Raleigh Query, search, and download public datasets and civic information for the City of Raleigh. | magnus919/ | 115 | — | ~4k | Automated safety check: Pass | MIT | yesterday |
| 6 | A skill your agent uses when analyzing, selecting, validating, or communicating models for insurance, actuarial, financial-risk, or other consequential uncertain outcomes. | magnus919/ | 115 | — | ~3.2k | Automated safety check: Pass | MIT | yesterday |
| 7 | Clean, profile, validate, reshape, and document messy tabular, text, JSON, and relational data through an evidence-first, reproducible workflow. | magnus919/ | 115 | — | ~2.1k | Automated safety check: Pass | MIT | yesterday |
| 8 | Diagnose and design product adoption for onboarding, activation, behavior change, feature discovery, rollout, and sustained use after launch. | magnus919/ | 115 | — | ~1.7k | Automated safety check: Pass | MIT | yesterday |
| 9 | Compare intended product outcomes against observed results to close the launch-to-learning loop: collect post-launch evidence, distinguish expected from observed from uncertain from inferred claims… | magnus919/ | 115 | — | ~4.7k | Automated safety check: Pass | MIT | yesterday |
