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工具与集成 AI 技能

发现 工具与集成 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。

分类目录: 工具与集成

显示第 51,625–51,648 个,共 87,268 个

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GitHub

multi-timeframe-training

smith6jt-cop

Train RL models across multiple timeframes with resampling. Trigger when: (1) multi-timeframe training, (2) resampling data, (3) creating 1Hour/4Hour models.

GitHub

selection-progress-reporting

smith6jt-cop

Progress reporting for universe selection phases. Trigger when: (1) selection appears to stall/hang, (2) no output after data fetching, (3) need visibility into hard filter or scoring phases.

GitHub

position-sizing-action-space

smith6jt-cop

7-action space with position sizing (25/50/75%) + small account simulation. Trigger when: (1) model needs sizing decisions, (2) training for 5900.

GitHub

alpaca-algo-plus-data

smith6jt-cop

Use Alpaca Algo Trader Plus for 4+ years of historical data. Trigger when: (1) increasing lookback, (2) data source selection, (3) yfinance comparison.

GitHub

gpu-correlation-caching

smith6jt-cop

GPU-accelerated correlation matrix computation with persistent SQLite caching to eliminate bottleneck at correlation calculation during symbol selection

GitHub

project-data-separation

smith6jt-cop

Pattern for separating repository code from user data and notebooks. Trigger: organizing scientific pipelines, separating code from data

GitHub

training-resilience

smith6jt-cop

Fix PPO training early-stop issues. Trigger when: (1) impossible drawdown values (>100%), (2) training stops too early, (3) need adaptive recovery instead of hard stop.

GitHub

reward-scaling-calibration

smith6jt-cop

Fix phantom MaxDD values in training by calibrating reward_scale. Trigger when: (1) validation MaxDD shows 35-80% values, (2) MaxDD doesn't correlate with training quality, (3) gating thresholds seem too lenien...

GitHub

gpu-quality-priority

smith6jt-cop

KINTSUGI processing principles: Never sacrifice quality for speed, always use GPU when available. Trigger: performance optimization, CPU/GPU choice, fast mode, quality vs speed.

GitHub

markov-regime-features

smith6jt-cop

Debugging constant Markov regime features in RL observations - when HMM probabilities show uniform values instead of dynamic regime estimates

GitHub

multiplex-imaging-analysis

smith6jt-cop

Optimizing segmentation feature extraction, SOM clustering, and spatial analysis for multiplex immunofluorescence imaging with cell compartment and ECM features

GitHub

per-sector-candidate-filtering

smith6jt-cop

Per-sector candidate limits using yfinance sector data. Trigger when: (1) universe selection has too many candidates, (2) need sector diversity in candidate pool, (3) downloading historical data takes too long.

GitHub

design-review

lucaslopezpuerta

Evaluate a React component against the Design System and propose UX/UI improvements based on Figma best practices. Use when reviewing components for design compliance, checking UI consistency, or improving user...

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