Tagged observability

Set up and troubleshoot centralized cross-project logging with sinks and buckets

Audit Cloud Logging costs by bucket, service and sink and build a FinOps report

Generate Logging Query Language queries for Cloud Logging from plain English

Set up Cloud Logging, Cloud Monitoring and managed Prometheus for GKE

Investigate dropped packets, VPC Flow Logs and firewall issues on GCP

Deploy a Google Cloud landing zone with org policies, folders and logging

Group new Sentry errors, dedupe against GitHub issues and draft tickets for the top ones

Triage on-call alerts with Sentry stack traces, Datadog logs and recent deploy checks

Export OpenTelemetry traces from LLM apps and agents to Confident AI

Add DeepEval tracing with @observe to LLM apps and agents for Confident AI

Trace, log and alert on engine telemetry with OpenTelemetry metrics and sampling

Write PromQL queries, alert rules and Grafana dashboards for monitoring

Track and debug application errors with Sentry issues and stack traces

Build a working feature end to end, one rung at a time, logging every assumption

Search and filter Datadog logs from the shell and export JSON for scripts

Diagnose Sentry errors by mapping stack frames to your local source code

Set up a recurring autonomous loop over Sentry issues or tickets with human review

Trace, evaluate and monitor LLM applications with LangSmith datasets and tests

Trace, evaluate and monitor LLM apps with the open-source Phoenix observability tool

Bulk import Prometheus alert rule YAML files into Nightingale as a rule set

Set up Prometheus and Grafana dashboards, alert rules, tracing and structured logs

Trace and evaluate LLM apps with the Phoenix observability platform

Write efficient GraphQL queries against the Phoenix observability API

Add Sentry v8 error tracking and performance monitoring to services and cron jobs

Uninstall, disable and re-enable community skills with confirmation and logging

Find zero-days with variant analysis, patch diffing, fuzzing and taint tracing

Add structured logs, metrics and health checks so failures are easy to diagnose

Set up Vercel logs, drains, Web Analytics, Speed Insights and OpenTelemetry tracing

Inspect Sentry issues and events and summarize recent production errors

Debug Twilio errors with the Console Debugger, alerts and event streams

Summarize production errors, crashes and health data from Sentry in read-only mode

Add logging calls and read local log files to debug problems in depth

Set up tracing, logging and monitoring for deployed ADK agents on Google Cloud

Propagate W3C baggage headers end to end so mirrord can route one developer's requests

Deploy a CollectX telemetry collector and export DOCA metrics to Prometheus

Set up NeMo Relay observability with OpenTelemetry, OpenInference or ATIF

Handle Go errors with wrapping, sentinel values, slog logging and clean error types

Add slog logs, Prometheus metrics, OpenTelemetry traces and pprof to Go services

Extend Go slog with multi-handler pipelines, log sampling and HTTP middleware

Query Datadog metrics and logs and manage monitors, dashboards and downtimes

Review production incidents from ECS health, Sentry errors and CI failures

Check Datadog, New Relic and OpenTelemetry for active alerts and error traces

Triage Sentry and Linear issues, auto-close fixed ones and dispatch fix agents

Plan and track project milestones, logging events with original text and timestamps

Manage Sentry issues and events, set alerts and track releases through Composio

Evaluate sudden benefits in a crisis by tracing their source and hidden costs

Read I Ching hexagram results by tracing line changes and fulfillment timing

Pick the right memory search scope for source tracing, absence checks and deltas

Build a mental model of an unfamiliar codebase by tracing its code paths before editing