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Business, Finance & HR · By ruvnet
Skills
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Agent skill for trading-predictor - invoke with $agent-trading-predictor | ruvnet/ | 74k | 2 repos | ~2.5k | Automated safety check: Pass | MIT | yesterday |
| 2 | List the available harness templates and what each one ships with. | ruvnet/ | 696 | — | ~417 | Automated safety check: Pass | MIT | yesterday |
| 3 | Ingest and normalize market data into OHLCV vectors with HNSW indexing | ruvnet/ | 74k | — | ~529 | Automated safety check: Notes | MIT | yesterday |
| 4 | Run a heavy neural-trader job (long walk-forward, big Monte-Carlo, parameter sweep, model training) on the Anthropic Managed Agent cloud runtime instead of locally | ruvnet/ | 74k | — | ~1.8k | Automated safety check: Notes | MIT | yesterday |
| 5 | Detect current market regime using npx neural-trader — bull/bear/ranging/volatile classification with recommended strategy. | ruvnet/ | 74k | — | ~408 | Automated safety check: Notes | MIT | yesterday |
| 6 | Run a historical backtest using npx neural-trader with Rust/NAPI engine (8-19x faster) and walk-forward validation; Ed25519-sign the result for paper→live tamper evidence (ADR-126 Phase 4) | ruvnet/ | 74k | — | ~1.4k | Automated safety check: Notes | MIT | yesterday |
| 7 | Mean-variance portfolio optimization via Conjugate Gradient — 40-60× faster than the legacy Neumann path (ADR-126 Phase 3, ADR-123 Wedge 8) | ruvnet/ | 74k | — | ~1.7k | Automated safety check: Notes | MIT | yesterday |
| 8 | 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 |
| 9 | 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 |
