Use this to diagnose WHY an LLM agent or chain produced a wrong, empty, slow, or expensive result, by reading its observability trace. Trigger on "my agent gave the wrong answer", "the chain returned nothing", "why is this so slow/expensive", "debug this trace/run", or when a trace tree is available. Walk the span tree systematically instead of guessing.
$npx -y skills add contextjet-ai/awesome-llm-observability --skill debug-agent-from-tracesInstalls into the current project.
Run `npx skills use "https://github.com/contextjet-ai/awesome-llm-observability" --skill "contextjet-ai/awesome-llm-observability/debug-agent-from-traces"` and follow the generated skill instructions now. Read its complete output, redirecting it to a temporary file first if necessary. Resolve relative paths from the supporting-files directory it provides.
Use the skills in "https://github.com/contextjet-ai/awesome-llm-observability" that are relevant to the current task. Run `npx skills add "https://github.com/contextjet-ai/awesome-llm-observability"` and select the relevant skills, then follow their instructions.