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Skills IA Développement

Découvrez les skills Développement, comparez leurs dépôts et consultez leurs instructions.

Catégories: Développement

49,801–49,824 sur 81,978

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GitHub

data-source-priority

smith6jt-cop

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

smith6jt-cop

Pattern for connecting Jupyter notebooks in a pipeline via checkpoint files. Trigger: connecting notebooks, saving outputs, multi-notebook pipelines

GitHub

model-version-protocol

smith6jt-cop

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

training-improvements-v245

smith6jt-cop

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.

GitHub

private-function-shim-export

smith6jt-cop

Fix compatibility shims that fail to export private functions. Trigger when: (1) import errors for _prefixed functions after module reorganization, (2) 'cannot import name' errors from shim files, (3) creating...

GitHub

dashboard-parallel-lists

smith6jt-cop

Dashboard symbol_signals uses parallel lists (symbols[], signal_values[], gate_statuses[]) not dict keyed by symbol. Trigger when: (1) 'list' object has no attribute 'get', (2) .items() on symbol_signals fails.

GitHub

post-training-workflow

smith6jt-cop

Post-training model validation workflow: gating, backtesting, walk-forward validation, deployment decisions. Trigger after GPU training completes.

GitHub

multi-agent-integration

smith6jt-cop

Integrate Claude agents into training and live trading (v3.0). Trigger when: (1) setting up multi-agent training, (2) adding agent consultation to live trading, (3) configuring orchestrator, (4) understanding a...

GitHub

network-architecture-sizing

smith6jt-cop

PPO network architecture sizing for trading models. Trigger: (1) model files are unexpectedly small/large, (2) choosing hidden_dims for training, (3) balancing model capacity vs inference speed.

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

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

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.

Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.

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