Capture your first test error with Sentry and verify it appears in the
Analyzes A-share supply chain choke points to identify high-conviction small-cap stocks using the Serenity bottleneck framework.
Structured logging with Serilog for .NET 10 applications.
Claude Code session analysis, tool call patterns, efficiency metrics, and anti-pattern detection
Compare two sessions side-by-side using Agent Monitor data — per-model token usage (input/output/cache_read/cache_write + compaction…
Connect an arbitrary REST API to the PostHog data warehouse as a Custom source by authoring a JSON manifest, with no per-source code.
This skill automates the setup of distributed tracing for microservices.
Fast structured generation and serving for LLMs with RadixAttention prefix caching.
Master Shopify analytics and reporting. Understand key metrics, build custom reports, track customer behavior, and make data-driven…
Azure Monitor OpenTelemetry Exporter for Java.
Automate Google Analytics tasks via Rube MCP (Composio): run reports, list accounts/properties, funnels, pivots, key events.
Detect quiet failures in LLM agents - tool skipping, gibberish outputs, infinite loops, and degraded quality.
Similarweb API for web analytics. Use when user mentions "Similarweb",
Logs and tracks the performance, satisfaction, and context of Claude Code skill executions for workflow optimization.
Adds PyTorch FSDP2 (fully_shard) to training scripts with correct init, sharding, mixed precision/offload config, and distributed…
Define Service Level Objectives (SLOs) and an error budget policy for a service.
Diagnoses breaching Grafana SLOs via gcx - root cause analysis, dimensional breakdown, alert rule correlation, runbook access.
Creates, updates, syncs, and deletes Grafana SLO definitions via gcx with dry-run validation and GitOps pull/push workflows.
Analyzes Grafana SLO timeline trends via gcx and produces data-backed advisory recommendations: objective tuning, alerting sensitivity…
Checks Grafana SLO health, error budget, and burn rate via gcx, with timeline graphs for trends.
Compact Snakemake workflow patterns. Keep rules short, complex logic in Python modules.