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Found 9 Skills
Log exploration and analysis using Quickwit search engine. Incident investigation, error pattern analysis, and observability workflows. Three index discovery modes for different performance and convenience trade-offs.
Views, downloads, and searches application and job logs from TrueFoundry. Supports time-range filtering, pod filtering, and error search.
Datadog CLI for searching logs, querying metrics, tracing requests, and managing dashboards. Use this when debugging production issues or working with Datadog observability.
Search and filter Observability logs using ES|QL. Use when investigating log spikes, errors, or anomalies; getting volume and trends; or drilling into services or containers during incidents.
Use when the user wants to use the UCP CLI to find, compare, buy, or track products from online merchants, or to set up and troubleshoot the local UCP profile required for merchant-scoped operations. Covers global catalog search ("find me X under $Y"), named-merchant transactions ("buy this from Z.com"), order tracking, `ucp profile init`, `ucp doctor`, carts, checkout, orders, and UCP setup/help. Falls back to merchant-hosted handoff when direct in-protocol checkout isn't available.
Analyze how code changed over time. Use when investigating regressions, understanding why code was written a certain way, or finding when a behavior changed.
Read and search Railway's product changelog. Use when the user asks about recent Railway changes, new features, what shipped, "what's new", release history, or wants to look up a specific changelog entry.
Retrieve and analyze biological sequences -- gene/protein sequences from NCBI, Ensembl, and UniProt. Search nucleotide databases, fetch by accession, find orthologs, get gene summaries. Use when users ask about DNA/RNA/protein sequences, gene lookups, ortholog searches, or sequence retrieval.
Generate, write, or run an ad-hoc query against SigNoz observability data — metrics, logs, traces, or exceptions — without wrapping it in a dashboard panel or alert. Make sure to use this skill whenever the user asks "show me error rates", "query logs for timeout errors", "what's the p99 latency for the cart service", "how many requests hit the payment endpoint", "find slow traces", "errors in the last hour", or otherwise asks an exploratory question that needs live observability data — even if they don't say "query" or "search" explicitly.