Analytics & Monitoring Agent Skills

Use when managing Sentry releases, uploading source maps, or tracking deployments.

Best practices for using Sentry SDK in TypeScript and Python.

Summarise Sentry issues by theme and impact with optional uptime rollup.

Diagnose Sentry issues without copy-pasting stack traces.

Upgrade Sentry SDK versions and migrate breaking API changes.

Review one seller's pipeline; not one deal or a team.

Complete guide to observability patterns for Istio, Linkerd, and service mesh deployments.

Run local GGUF models with llama.cpp (CPU/Apple Silicon/CUDA/ROCm), pick the right quant, and discover GGUF repos on the Hugging Face Hub.

Parse a session transcript into a structured Session Governance Index — an annotated bibliography of every file modified and commit made…

Use when an agent must identify or link the Paper recording of its own running session, or link a known session or matched turn — "what's…

Generate an explorable HTML report of Claude Code session usage (tokens, cache, subagents, skills, expensive prompts) from…

Roast and grade a coding-agent session for token efficiency.

Watch another running Claude Code session in real time and narrate its activity in Japanese with detailed term-by-term explanations.

Analyze and instrument repositories for Traceway observability.

Use when adding Heystack observability to a project, or when the user mentions @heystack/otel, "set up Heystack", "add…

This skill sets up log aggregation solutions using ELK (Elasticsearch, Logstash, Kibana), Loki, or Splunk.

This skill automates the setup of synthetic monitoring for applications.

Scaffolds new `packages/frontend/editor-ui` experiments using the n8n experiment standard. Use when creating a new editor-ui experiment, adding a PostHog experiment scaffold, or setting up…

Analyzes sexual health data including IIEF-5 scores, STD screening schedules, and contraceptive effectiveness to provide structured health…

Agentforce session tracing extraction and analysis.

Model interpretability and explainability using SHAP (SHapley Additive exPlanations).