agent-observability-trace-rca
agent-observability-trace-rca is an agent skill published by datadog-labs, listed under deploy & operate. It lives in the datadog-labs/agent-skills repository, which has 178 GitHub stars and is licensed under MIT; we last read it on 2026-10-23.
Performs root cause analysis on LLM application failures by analyzing traces, runtime errors, or structural anomalies. Walks the span tree from symptom to root cause using eval judge verdicts or other signals.
Install
skills is a generic installer for any repository of Claude agent skills -- it reads datadog-labs/agent-skills’s own structure rather than assuming one, the same way this page reads the skill’s own SKILL.md rather than assuming a format.
npx skills add datadog-labs/agent-skills
Maintenance
Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval judge verdicts, runtime errors, or structural anomalies depending on what signals are present. Walks the span tree from symptom to root cause. Use when user says "what's wrong with my app", "why is my eval failing", "analyze errors", "root cause analysis", "diagnose failures", or wants to understand production failure patterns.
agent-observability-trace-rca compared with similar skills
| Skill | Publisher | What it does | Repo stars | Last update |
|---|---|---|---|---|
| agent-observability-trace-rca (this page) | datadog-labs | Root cause analysis on production LLM traces. Diagnoses why an LLM application is failing — works from eval j… | 178 | 2026-10-22 |
| agent-observability-eval-bootstrap(same repository) | datadog-labs | Bootstrap evaluators from production traces — by default propose online LLM-judge evaluators and, after you c… | 178 | 2026-10-22 |
| agent-observability-eval-pipeline(same repository) | datadog-labs | End-to-end Agent Observability pipeline for an instrumented ml_app — classify production traces, root-cause f… | 178 | 2026-10-22 |
| agent-observability-experiment-analyzer(same repository) | datadog-labs | Analyze LLM experiment results. Handles single or comparative experiments, exploratory or Q&A modes. Use when… | 178 | 2026-10-22 |
| agent-skills(same repository) | datadog-labs | Datadog skills for AI agents. Essential monitoring, logging, tracing and observability. | 178 | 2026-10-22 |
| dd-aws-integration(same repository) | datadog-labs | Set up the Datadog AWS integration with Terraform - creates the cross-account IAM role Datadog assumes (exter… | 178 | 2026-10-22 |
| dd-azure-integration(same repository) | datadog-labs | Set up the Datadog Azure integration with Terraform - creates an Entra ID app registration and service princi… | 178 | 2026-10-22 |
Skills from the same repository first, then others for this job by repository stars. Figures are from each repository when we last read it.
Common questions about agent-observability-trace-rca
- What does agent-observability-trace-rca do?
- Performs root cause analysis on LLM application failures by analyzing traces, runtime errors, or structural anomalies. Walks the span tree from symptom to root cause using eval judge verdicts or other signals.
- How do I install agent-observability-trace-rca?
- Run npx skills add datadog-labs/agent-skills. The skills installer reads the repository’s own structure, so it works for any repository of agent skills.
- Who publishes agent-observability-trace-rca?
- datadog-labs.
- Is agent-observability-trace-rca maintained, and what licence does it use?
- Its repository has 178 GitHub stars and its state in our directory is listed. Its last commit we recorded was on 2026-10-22. The repository declares the MIT licence.
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