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smith6jt-cop AI Skills

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Browse published AI skills maintained by smith6jt-cop. Compare skill descriptions and follow each source repository for setup instructions.

Author statistics

Indexed skills

92

Repository stars across indexed skills

92

Repository forks

0

Average repository stars per indexed skill

1

Repository stars may repeat across skills from the same repository.

92 skills

Browse skills

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

slurm-workflow-integration

smith6jt-cop

Integrating SLURM job submission with kintsugi init for HPC clusters. Trigger: adding SLURM support to projects, auto-detecting HPC settings, CLI batch submission

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.