Analytics & Monitoring Agent Skills

Pretrain LLMs at scale with PyTorch 4D parallelism.

Track and visualize ML training experiments with Trackio.

This skill should be used when users want to train or fine-tune language models using TRL (Transformer Reinforcement Learning) on Hugging…

Deep agentic-flow@alpha integration implementing ADR-001.

Agent skill for v3-performance-engineer - invoke with $agent-v3-performance-engineer

Achieve aggressive v3 performance targets: 2.49x-7.47x Flash Attention speedup, 150x-12,500x search improvements, 50-75% memory reduction.

W&B: log ML experiments, sweeps, model registry, dashboards.

Use when the user wants the LLM to do its own ML research: a fully-autonomous loop that hacks the training code, runs it, and keeps…

View and manage the evaluation harness — session metrics, baselines, trend analysis, and regression detection.

Extraccion defensiva con JSON Schema, tool_choice forzado, enums con valvula de escape y nullable explicito; nunca prosa.

Use when auditing a KDD submission for readiness in either cycle, covering Research vs ADS track declaration, OpenReview profile…

Use when revising a KDD paper into the venue's register, where the first page names a data regime, a mechanism, and scale evidence…

Automate Keen IO tasks via Rube MCP (Composio).

Process Kepler short-cadence USP planet light curves for secondary-eclipse and phase-curve inspection.

Control camera movements in Kling AI video generation.

Set up logging and debugging for Kling AI API integrations.

Track and monitor Kling AI video generation task status.

Avoid common mistakes when using Kling AI API.

Explore Kling AI models, versions, and capabilities for video and image

Generate videos from text prompts with Kling AI.

Build usage analytics and reporting for Kling AI video generation.