Search

PythonReactSEOPDF

Databases AI Skills

Discover Databases skills, compare source repositories and read the instructions for each workflow.

Categories: Databases

Showing 51,073–51,096 of 85,283

Databases Clear filters

Browse skills

GitHub

persistence-layer-audit

smith6jt-cop

Audit SQLite persistence layer for unused tables and broken integrations. Trigger when: (1) checking database usage, (2) cleaning up schema, (3) finding missing methods.

GitHub

dependency-deprecation

smith6jt-cop

Pattern for deprecating external dependencies while maintaining backward compatibility. Trigger: removing Java/FIJI/MATLAB, deprecating optional deps

GitHub

plotly-figurewidget-interactive

smith6jt-cop

Fix for Plotly FigureWidget KeyError: 'uid' when updating shapes with sliders. Trigger: interactive Plotly dashboard errors, FigureWidget batch_update issues

GitHub

dotted-symbol-exclusion

smith6jt-cop

Exclude ALL dotted symbols from yfinance sector lookups and training. Trigger when: (1) yfinance errors on warrants/units/class shares, (2) training notebook fails on excluded symbol types, (3) adding new symbo...

GitHub

notebook-config-audit

smith6jt-cop

Audit Jupyter notebooks for hardcoded values that contradict configuration cells. Trigger when: (1) notebook behavior differs from documented settings, (2) updating notebook version, (3) finding inconsistent va...

GitHub

basic-caching-evaluation

smith6jt-cop

Evaluation of BaSiC illumination correction caching - NOT RECOMMENDED for sparse markers. Trigger: optimizing BaSiC, caching illumination correction

GitHub

training-archive-gating

smith6jt-cop

Mandatory training archive with model gating (APPROVED/REVIEW/DROP). Trigger when: (1) training run completes, (2) need to decide which models to deploy, (3) want historical training reference, (4) need checkpo...

GitHub

gpu-parallel-scheduling

smith6jt-cop

GPU-safe parallel processing patterns for KINTSUGI to prevent OOM crashes and ensure Jupyter-compatible progress output

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

The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.

More filters

Popularity

Popular tags