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Data & Analytics · ruvnet/ruflo
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Agent skill for adaptive-coordinator - invoke with $agent-adaptive-coordinator | ruvnet/ | 74k | 2 repos | ~4k | Automated safety check: Pass | MIT | yesterday |
| 2 | Agent skill for automation-smart-agent - invoke with $agent-automation-smart-agent | ruvnet/ | 74k | 2 repos | ~1.4k | Automated safety check: Pass | MIT | yesterday |
| 3 | Agent skill for data-ml-model - invoke with $agent-data-ml-model | ruvnet/ | 74k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | yesterday |
| 4 | MAD-based outlier detection on session spend. An agent skill from ruvnet/ruflo. | ruvnet/ | 74k | — | ~935 | Automated safety check: Notes | MIT | yesterday |
| 5 | Aggregate and display system metrics with anomaly detection for a time period | ruvnet/ | 74k | — | ~592 | Automated safety check: Notes | MIT | yesterday |
| 6 | DEPRECATED in v0.2.0 -- use browser-extract instead; this is a thin shim for backward compatibility, removed in v0.3.0 | ruvnet/ | 74k | — | ~405 | Automated safety check: Notes | MIT | yesterday |
| 7 | Generate trading signals using npx neural-trader anomaly detection engine with Z-score scoring and neural prediction | ruvnet/ | 74k | — | ~605 | Automated safety check: Notes | MIT | yesterday |
| 8 | Train neural models (LSTM, Transformer, N-BEATS) on market data using npx neural-trader with confidence intervals | ruvnet/ | 74k | — | ~398 | Automated safety check: Notes | MIT | yesterday |
| 9 | Detect and classify telemetry anomalies on Cognitum Seed devices. | ruvnet/ | 74k | — | ~210 | Automated safety check: Pass | MIT | yesterday |
