Analytics & Monitoring Agent Skills for Perplexity

Imports existing Grafana dashboards as Go builder code via gcx.

Run an improve-my-MCP campaign: an autoresearch-style loop that measures the MCP agent experience with the eval harness, picks the…

Production incident response. Use when handling incidents, classifying severity, reconstructing timelines, writing postmortems, generating…

Incident severity classification, runbook templates, root cause analysis, and post-incident review

Explains how Indian equity market data is actually structured, so a price series can be read and trusted.

Rapid pathogen characterization and drug repurposing for outbreaks.

Track and analyze portfolio company performance against plan.

Install the Datadog Agent on Kubernetes using the Datadog Operator — required before enabling Single Step Instrumentation (SSI), which…

Add Pydantic Logfire observability to applications.

Build self-contained interactive HTML dashboards with Chart.js, dropdown filters, and professional styling.

Investigate recent errors and exceptions in your Sentry projects

Evidence collection methods, problem categorization, analysis techniques, and solution design patterns

Write SLO-based alert rules with burn rate thresholds and paired runbooks.

Use when asked to select chart types for analytics dashboards, choose BI visualizations, or design data displays.

Retention diagnosis + intervention plan — analyze the retention curve, identify the primary drop-off point, and produce a specific…

Comprehensive toolkit for creating, analyzing, and visualizing complex networks and graphs in Python.

Single-cell RNA-seq analysis. Load .h5ad/10X data, QC, normalization, PCA/UMAP/t-SNE, Leiden clustering, marker genes, cell type…

Evaluate research rigor. Assess methodology, experimental design, statistical validity, biases, confounding, evidence quality (GRADE…

Review Kafka Connect connector configurations for common misconfigurations using the Lenses MCP server.

Review Kafka producer and consumer performance configurations in both the live cluster (via Lenses MCP) and the codebase.

Audit all Kafka topic configurations against production best practices using the Lenses MCP server.