GitHub
pytorch-common-pitfalls
Fix common PyTorch bugs: percentile calculations, LayerNorm for Conv1d, buffer edge cases. Trigger when writing PyTorch code for RL or neural networks.
smith6jt-cop AI Skills
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Skills indexés
92Étoiles des dépôts des skills indexés
92Forks du dépôt
0Moyenne des étoiles par skill indexé
1Les étoiles d’un dépôt peuvent se répéter entre ses skills.
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GitHub
persistent-cache-gap-filling
Persistent data cache with gap-filling for historical market data. Trigger when: (1) cache re-downloads complete data unnecessarily, (2) time-based cache expiry wastes API calls, (3) historical data needs incre...
GitHub
drawdown-guardrails-pattern
Consistent drawdown control pattern for trading systems - backtests, live trading, and training
GitHub
selection-diversity-validation
FAIL LOUDLY pattern for selection constraints. Trigger when: (1) correlated stocks selected together, (2) min_crypto_positions ignored, (3) constraints violated silently.
GitHub
notebook-import-conventions
Correct import patterns and file paths for maxfuse Jupyter notebooks
GitHub
deconvolution-intensity-scaling
KINTSUGI deconvolution: Output scaling must preserve original intensity relationships for quantitative analysis. Trigger: deconvolution saturates at 65535, channel intensity ratios inverted, hist_clip scaling i...
GitHub
persistent-sector-caching
Cache yfinance sector data permanently to avoid Yahoo Finance rate limits. Trigger when: (1) 401 errors during sector fetching, (2) sector updates take too long, (3) need selective sector refresh.
GitHub
template-name
Specific description with trigger conditions
GitHub
repo-project-sync-workflow
When editing KINTSUGI notebook modules (Kdecon, Kstitch, Kreg, etc.), always edit the main repo first then sync to project folders
GitHub
symbol-selection-statistical
Statistical analysis for selecting trading symbols compatible with mean-reversion/momentum strategies, GARCH risk models, and Markov regime detection
GitHub
backtest-persistence
Save backtest results to SQLite database for comparison. Trigger when: (1) tracking backtest history, (2) comparing model performance, (3) querying best backtests.
GitHub
reward-function-hold-bias
Fix HOLD bias in RL reward function. Trigger when: (1) model learns to always HOLD, (2) trade rate is too low (
GitHub
pypi-collision-fix
Fix PyPI package name collisions when local package name exists on PyPI
GitHub
crypto-pair-fee-optimization
Analysis of crypto-to-crypto vs crypto-to-fiat (USD) trading on Alpaca for fee optimization and risk considerations
GitHub
risk-sizing-not-blocking
Risk managers should SIZE trades, not BLOCK them. Trigger when: (1) capital manager blocks trades, (2) risk manager rejects orders, (3) trades fail due to 'exceeds limit', (4) components don't work in harmony.
GitHub
selection-data-caching
SUPERSEDED by persistent-cache-gap-filling (v2.8.0). Cache data during symbol selection for instant repeat runs.
GitHub
hpc-dev-testing-workflow
Efficient development testing workflow for HPC environments with VS Code tunneling. Trigger: testing code changes on HPC, development workflow with external data directories, VS Code Remote SSH development
GitHub
backtest-datetime-visualization
Converting backtest visualizations from bar indices/timesteps to actual datetime axes for clearer time context
GitHub
data-source-priority
Ensure Alpaca API is used for quality data, not yfinance fallback. Trigger when: (1) crypto volume filter fails unexpectedly, (2) zero-volume bars in data, (3) API key configuration issues.
GitHub
notebook-checkpoint-pattern
Pattern for connecting Jupyter notebooks in a pipeline via checkpoint files. Trigger: connecting notebooks, saving outputs, multi-notebook pipelines
GitHub
model-version-protocol
Model-trader version compatibility protocol: Embed version metadata in checkpoints, validate at load time. Trigger when: (1) training and live trading versions diverge, (2) models fail to load, (3) action inter...
GitHub
trading-gates-pattern-filter
Pattern filter normalization and multi-gate order entry system
GitHub
backtest-capital-accounting
Critical fix for backtest capital accounting when equity curves are inflated or drawdown metrics are meaningless
GitHub
training-improvements-v245
Training improvements: LR warmup, validation intervals, reward weights. Trigger when: (1) training unstable in early epochs, (2) need more validation visibility, (3) model too conservative.
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