Diagnose and fix common Fly.io errors including deployment failures, health check failures, machine issues, and networking problems. Trigger: "fly.io error", "fly deploy failed", "fly.io not working", "fly health check".
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Diagnose and fix common Fly.io errors including deployment failures, health check failures, machine issues, and networking problems. Trigger: "fly.io error", "fly deploy failed", "fly.io not working", "fly health check".
Diagnose an existing Goldsky Compose app with failing tasks, crashloops, missed events, cron not firing, HTTP 500s, wallet or gas sponsorship failures, missing secrets, bundler errors, manifest validation failures, or esbuild failures. Use when an app is named alongside a problem involving goldsky compose, including 'No bundler provider available', named wallets without a private key in local dev, and 'Transaction Receipt failed with status'. Load /compose first; inspect status, logs, secrets, a
Use when the user says diagnose or debug this, or reports something broken, throwing, failing, or slow.
Diagnose and fix a reproducible failure in an existing project. Use for crashes, broken behavior, or failing checks, not greenfield planning.
Diagnose a failing GitHub Actions run — find the first real error in the logs, tell a flake apart from a genuine failure, and identify the commit that broke it. Use when checks are red on a PR, a workflow failed, the build is broken, CI is flaky, or the user asks why a run failed or whether a failure is real.
Diagnose failing GitHub Actions runs and propose fixes. Use when given a GHA run/job URL, or asked why CI failed, why a job failed, what broke in a run, or to fix a red check on a PR.
Diagnose OCI Functions setup, control-plane, deployment, invocation, and observability issues using a deterministic triage workflow. Use when asked to classify Fn CLI errors, deploy or invoke failures, OCIR auth and registry issues, app-limit symptoms, logs, tracing, metrics, or limits. Diagnose first, prefer read-only checks, and do not execute fixes unless the user explicitly asks.
Diagnose a failing workload on Kubernetes: reading events before logs, distinguishing CrashLoopBackOff causes, probe misconfiguration, and the resource-limit symptoms that look like application bugs.
Systematically investigate bugs, test failures, build errors, performance issues, or unexpected behavior by cycling through characterize-isolate-hypothesize-test steps. Use when the user asks to "investigate this bug", "debug this", "figure out why this fails", "find the root cause", "why is this broken", "troubleshoot this", "diagnose the issue", "what's causing this error", "look into this failure", "why is this test failing", or "track down this bug".
Diagnose failed or unhealthy Dynamo deployments. Use when pods, model-cache jobs, PVCs, workers, frontend/router health, endpoints, or benchmark jobs fail; use recipe-runner/router-starter before this for normal bring-up.
Diagnose runtime infrastructure issues — cold starts, timeouts, scaling problems, network failures. Use when asked about "infra is slow", "cold starts", "network issues", "why is this timing out", "scaling problem", "latency spikes", or "service is down".
Diagnose software failures through reproduction, boundary localization, competing hypotheses, and discriminating experiments. Use when Codex is asked to investigate a bug, flaky test, crash, incorrect result, performance regression, production symptom, or unexplained behavior and should determine the cause before implementing a fix. Produce an evidence-backed causal explanation and verification plan; do not patch unless the user also asks for a fix.
Incident response — diagnose production issues, find root cause, propose fix with rollback. Use when asked about "something is broken", "production issue", "why is this down", "incident", or "debug production".
Diagnose and fix broken Goldsky Subgraphs. Use this skill whenever a user has a subgraph that is failing, stalled, stuck syncing, not indexing, auto-paused, returning errors, or won't deploy. Triggers on: 'subgraph stopped syncing', 'subgraph stuck at block', 'subgraph stalled', 'subgraph failed to deploy', 'indexing error', 'SubgraphSyncingFailure', 'unexpected null in handler', 'no network found', 'deployment already exists', 'subgraph not returning data', 'subgraph endpoint 404', 'reached the
Diagnose the current OMC session or repo state using logs, traces, state, and focused reproduction
Use when deploying an existing web application or API to an already-running Azure Kubernetes Service cluster. Detects the framework, generates a Dockerfile and Kubernetes manifests, validates against AKS Deployment Safeguards, and deploys with verification. WHEN: deploy app to AKS, deploy to existing AKS cluster, containerize app for Kubernetes, generate K8s manifests for Azure, set up CI/CD for AKS, my AKS deployment is failing safeguard checks, I have a Django/Express/Spring Boot app to run on
Debug Azure production issues on Azure using AppLens, Azure Monitor, resource health, and safe triage. WHEN: debug production issues, troubleshoot app service, app service high CPU, app service deployment failure, troubleshoot container apps, troubleshoot functions, troubleshoot AKS, VM RDP, Linux SSH, VM black screen, can't connect to VM, reset VM password, NSG or firewall blocking, kubectl cannot connect, kube-system/CoreDNS failures, pod pending, crashloop, node not ready, upgrade failures, a
Root-cause a failing or wrong empirical result with a disciplined reproduce → minimise → hypothesise → instrument → fix loop, instead of guessing-and-poking. Use when the user says "why is my regression wrong", "this number changed", "my script errors out", "the result won't reproduce", "debug this", "this estimate looks wrong", or "it worked yesterday". Tuned for research code (R/Stata/Python): type coercion, NA/merge blow-ups, factor levels, clustering/SE choices, weighting, collinearity/conve
Review and safely diagnose Snowflake infrastructure and database deployments across the snowflakedb/snowflake Terraform 2.x provider, grants/state/imports, schemachange versioned and repeatable migrations, Snowflake CLI/drivers, and behavior-change releases. Use before a production deploy, when a plan wants to replace or revoke grants, state is unreadable, a migration checksum drifts, or a CLI/driver upgrade changes behavior. Produces a zero-change/plan verdict, ordered remediation, and tested r
Deploy use when you need to work with deployment and CI/CD. This skill provides deployment automation and orchestration with comprehensive guidance and automation. Trigger with phrases like "deploy application", "create pipeline", or "automate deployment".