Analytics & Monitoring Agent Skills for Windsurf (legacy)

Python visual creation and matplotlib/seaborn patterns for PBIR reports.

Write docstrings for PyTorch functions and methods following PyTorch conventions.

High-level PyTorch framework with Trainer class, automatic distributed training (DDP/FSDP/DeepSpeed), callbacks system, and minimal…

Provides guidance for performing causal interventions on PyTorch models using pyvene's declarative intervention framework.

Interact with Zotero reference management libraries using the pyzotero Python client.

Show qmd configuration and index status for this project.

When the user wants to improve product quality, implement quality control systems, reduce defects, or analyze quality data.

Query logs from Axiom for debugging (read-only, no ingestion allowed)

Quantum mechanics simulations and analysis using QuTiP (Quantum Toolbox in Python).

R visual creation and ggplot2 patterns for PBIR reports.

Report which research-corpus radar sidecars are overdue for refresh.

Create, inspect, validate, explain, and improve Ralph hat collections.

End-to-end workflow from cluster data to deviation reports and optional Jira follow-up

Logging, error messages, and debugging patterns for React.

Debug and optimize AI agents by analyzing reasoning traces, context degradation, tool confusion, instruction drift, repeated task…

This skill should be used when users need to create or debug Bloblang transformation scripts.

Manually refresh wallet balances shown in a compatible CLI status line.

Execute this skill empowers AI assistant to perform regression analysis

Use when assembling the data and code deposit for a Journal of Environmental Economics and Management (JEEM) manuscript — meeting JEEM's…

Use when assembling the data and code package for a The Journal of Law and Economics (JLE) manuscript to satisfy the journal's replication…

Use when assembling the data, code, and experiment materials for a Journal of Risk and Uncertainty (JRU) manuscript and writing its Data…