发现 数据库 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。
Remove pattern filters that second-guess RL model predictions. Trigger when: (1) signals show past threshold but status is HOLD, (2) pattern filter blocks model signals, (3) external gates contradict trained mo...
Checklist for editing training code. Trigger when: (1) modifying training notebook, (2) changing GPUEnvConfig, (3) changing reward functions, (4) ANY training-related code changes.
Record prediction outcomes when positions close. Trigger when: (1) predictions logged but outcomes missing, (2) calculating prediction accuracy, (3) tracking model performance.
Fix symbol selection failing due to asset-type filter mismatch. Trigger when: (1) '0/N passed hard filter' error, (2) crypto selection fails unexpectedly, (3) assets filtered by wrong price/volume thresholds.
Fix F821 undefined name errors for optional dependencies using TYPE_CHECKING
Auto-discover dashboard symbols from loaded RL models. Trigger when: (1) dashboard shows old/wrong symbols, (2) symbols mismatch between live trader and dashboard, (3) adding new models to system, (4) dashboard...
Parallel processing for universe selection with 3-4x speedup. Trigger when: (1) selection takes too long, (2) 'No data returned' warnings for cached symbols, (3) need to process 100+ candidates.
Reorganize scattered modules into subpackages while maintaining backwards compatibility via shims. Trigger when: (1) too many root-level files, (2) need to group related functionality, (3) cleaning up codebase...
Use percentage-based capital limits, not hard-coded dollar amounts. Trigger when: (1) trades blocked on small accounts, (2) min_cash_buffer is absolute dollars, (3) capital allocation doesn't scale with account...
KINTSUGI deconvolution: True lightsheet PSF calculation to fix horizontal banding artifacts. Trigger: deconvolution artifacts, horizontal banding, PSF issues, fcyl, slitwidth, lightsheet, LsDeconv.
Example skill demonstrating the registry structure and format
Fix CuPy NVRTC compilation errors on Windows. Trigger: NVRTC_ERROR_BUILTIN_OPERATION_FAILURE, nvrtc-builtins64 not found
Safely review and merge remote branches into stable. Trigger when: (1) reviewing open PRs, (2) integrating feature branches, (3) checking for stale branches with potential conflicts.
Alpaca broker limitations: crypto shorts blocked (broker doesn't support), stock shorts allowed. Trigger when: (1) shorting gate blocks wrong assets, (2) SELL signals blocked, (3) order type confusion.
Multi-format channel name parsing for KINTSUGI CHANNELNAMES.txt files
Colab file paths after unzipping repo. Trigger when: (1) API key file not found, (2) file path errors in Colab, (3) configuring notebook paths, (4) 'yfinance fallback' despite keys existing.
Simplify crypto hard filters to essential checks only. Trigger when: (1) crypto symbols fail multiple filters, (2) data_quality/spread/trading_status fail for crypto, (3) yfinance data gaps causing false failur...
Fix common PyTorch bugs: percentile calculations, LayerNorm for Conv1d, buffer edge cases. Trigger when writing PyTorch code for RL or neural networks.
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...
Consistent drawdown control pattern for trading systems - backtests, live trading, and training
FAIL LOUDLY pattern for selection constraints. Trigger when: (1) correlated stocks selected together, (2) min_crypto_positions ignored, (3) constraints violated silently.
Correct import patterns and file paths for maxfuse Jupyter notebooks
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...
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.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。