Analytics & Monitoring Agent Skills for Zed

When to activate: scikit-learn, machine learning pipelines, feature engineering, model evaluation, cross-validation

When to activate: OpenTelemetry, traces, metrics, spans, Prometheus, Grafana, Sentry, APM setup

When to activate: Python profiling, cProfile, memory profiling, optimization, numba, Cython, bottlenecks

Fully sharded data-parallel training for large models.

When to activate: PyTorch, nn.Module, DataLoader, training loop, mixed precision, DDP, distributed training, torch.compile, model export…

Use when building or auditing the quantitative analysis behind a Review of Economic Dynamics (RED) manuscript — calibration…

Design, select, critique, and revise quantitative data visualizations for accurate, efficient human perception.

Use when targeting Quantitative Economics (QE) or deciding whether a structural / quantitative manuscript fits this venue.

Query bq-analytics data in BigQuery via the bq CLI.

Query tophog — the ingestion pipeline's heavy-hitter store in ClickHouse — to identify hot or expensive actors (team_id, distinct_id…

Report local Claude, Codex, Cursor, GitHub Copilot, Grok, and Kimi quota windows via the quota-axi CLI - remaining effective usable…

Batch-count fluorescence-positive cells from QuPath-compatible microscopy images using a nuclear channel for segmentation, with channel…

Use when the user asks to "analyze video", "watch this video", "what happens in this video", "describe this clip", "review this footage"…

Create, update, review, and test production-quality R scripts for data ingest, cleaning, transformation, analysis, visualization…

Use when working with Radio Mast Stream Monitoring: monitoring Icecast, Shoutcast, RSAS or any HTTP/ICY radio stream for uptime and…

When to activate: RAG, retrieval augmented generation, LangChain, LlamaIndex, vector stores, embeddings, retrieval, chunking, reranking…

Use when designing an A/B or split test: define the hypothesis, control and variants, estimate sample size, verify tracking, and…

This skill should be used when the user asks to "implement LLM-as-judge", "compare model outputs", "create evaluation rubrics", "mitigate…

Build persistent agents on Azure AI Foundry using the Microsoft Agent Framework Python SDK.

Systematic improvement of existing agents through performance analysis, prompt engineering, and continuous iteration.

Expert in designing and building autonomous AI agents.