Analytics & Monitoring Agent Skills for Claude Code

Use when analyzing conversation patterns — extracts dialog from Claude Code or Codex CLI history, classifies each user message across 6…

Provides guidance for PyTorch-native agentic RL using torchforge, Meta's library separating infra from algorithms.

Debug AI system behavior using traces — prompt reconstruction, output comparison, failure attribution.

Audit LLM observability coverage — trace gaps, logging completeness, cost attribution accuracy.

Generate distributed tracing schemas for OpenTelemetry with Jaeger/Zipkin integration

Read Google Cloud Error Reporting from the CLI to triage and prioritize error groups by blast radius.

Diagnose and fix Single Step Instrumentation (SSI) issues on Linux hosts — SSI automatically instruments applications for APM without code…

Create Tufte-inspired data reports and infographic dashboards as standalone HTML files.

UiPath causal investigation across every product, runtime, and activity package.

walkerOS follows a Source → Collector → Destination(s) architecture for composable, modular event processing.

Audit and improve unit economics — LTV, CAC, payback period, gross margin, contribution margin.

Implements consistent, structured, and secure application logging across multiple programming languages and environments.

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Analyze Claude Code usage trends over time using the Agent Monitor's analytics API — daily session counts, daily event counts, token…

Track user journeys with intent context and friction signals.

Use AlphaEarth Foundations Satellite Embeddings in Google Earth Engine (GEE) for change detection and area summarization.

Monitor Vast.ai GPU instance health, utilization, and costs.

Run deterministic financial models for startup valuation and SaaS health analysis.

Use when an agent does structured Pydantic extraction from an LLM and deterministic post-checks are cheap.

Verify observability posture — audit monitoring coverage, find blind spots, prioritize gaps.

Provides guidance for training LLMs with reinforcement learning using verl (Volcano Engine RL).