Skills by HKUDS
-
cli-hub-matrix-3d-cad
Apache-2.0· ★ 46,201 · updated 2026-07-09 — This skill bridges 3D design and fabrication by exposing CAD modeling, rendering, and production tools through a command-line interface designed for AI agents. It consolidates…
-
cli-anything-freecad
Apache-2.0· ★ 46,201 · updated 2026-07-09 — cli-anything-freecad bridges FreeCAD's powerful 3D modeling capabilities with command-line automation, enabling agents to generate, modify, and export CAD designs…
-
cli-hub-meta-skill
Apache-2.0· ★ 46,201 · updated 2026-07-09 — cli-hub-meta-skill bridges the gap between traditional software and AI-driven automation by surfacing command-line interfaces built for agent integration. Browse, evaluate, and…
-
cli-hub-matrix-game-development
Apache-2.0· ★ 46,201 · updated 2026-07-09 — This skill automates the full game development pipeline, from engine initialization through asset organization to final distribution. It provides CLI-driven workflows that…
-
cli-hub-matrix-image-design
Apache-2.0· ★ 46,201 · updated 2026-07-09 — This skill provides a centralized command-line interface that bridges multiple image and graphic design applications into a single, cohesive workflow environment. By organizing…
-
cli-hub-matrix-knowledge-research
Apache-2.0· ★ 46,201 · updated 2026-07-09 — This skill bridges research, documentation, and automation by centralizing CLI-based tools into a cohesive agent-native environment. It enables seamless knowledge management…
-
cli-hub-matrix-video-creation
Apache-2.0· ★ 46,201 · updated 2026-07-09 — This skill lets you design video production workflows without being locked into a single pipeline structure. Instead of following predetermined stages, you select the best…
-
vibe-trading
MIT· ★ 28,096 · updated 2026-07-27 — Vibe-Trading equips your agent with backtesting across equities, crypto, futures, and forex using 8 specialized engines and 23 market-data sources. Extract trading rules from your…
-
asset-allocation
MIT· ★ 28,096 · updated 2026-07-27 — This skill teaches portfolio optimization from theory to implementation, covering Modern Portfolio Theory, Black-Litterman blending, risk budgeting, and all-weather allocation…
-
correlation-regime
MIT· ★ 28,096 · updated 2026-07-27 — Correlation-regime answers temporal questions about market fusion that snapshots cannot: when assets become highly correlated, what that means for position sizing, which asset…
-
ml-strategy
MIT· ★ 28,096 · updated 2026-07-27 — ML-Strategy generates trading signals by applying sklearn classifiers (RandomForest, GradientBoosting, Ridge) to engineered OHLCV features with walk-forward validation to prevent…
-
multi-factor
MIT· ★ 28,096 · updated 2026-07-27 — Multi-factor ranks stocks by computing and standardizing multiple factors—momentum, reversal, volatility, and volume—then combines them into a composite score to select top…
-
performance-attribution
MIT· ★ 28,096 · updated 2026-07-27 — Break down why your portfolio outperformed or underperformed its benchmark by isolating contributions from sector positioning, individual stock picks, and market timing.…
-
quant-statistics
MIT· ★ 28,096 · updated 2026-07-27 — Quant-statistics provides time-series testing and volatility modeling tools for quantitative investing. It covers stationarity detection via ADF tests, cointegration analysis for…
-
risk-analysis
MIT· ★ 28,096 · updated 2026-07-27 — Risk-analysis provides quantitative methods for measuring portfolio risk through Value at Risk, Conditional Value at Risk, maximum drawdown analysis, and Monte Carlo simulation.…
-
volatility
MIT· ★ 28,096 · updated 2026-07-27 — This strategy captures volatility mean reversion by computing annualized historical volatility and ranking it percentile-wise over a lookback period. Long signals trigger when…