Individual skill
performance-rca
Investigates CPU, memory, and contention problems with Grafana Pyroscope profiles via the gcx CLI. Compares affected and baseline workloads, locates changed application stacks, and tests root-cause hypotheses against symptom and change evidence. Use when a service shows high CPU, growing memory, GC pressure, lock contention, or hot functions, when code regressed after a deploy, or when given a suspect service, flame graph, trace, or profiling anomaly report. For profiling setup use pyroscope; for profilecli-based analysis use profilecli-insights.
skills/grafana-lgtm/performance-rca/SKILL.md
Source commit 8fb72a527961f05e708f53d2a0500709e12d7970
What was checked
- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- No
- Repository scan complete
- No
- Skill scan complete
- No
- Observed behavior
- Not checked yet
- Last checked
- Nov 6, 2026
These are observations at the recorded commit, not a guarantee of safety. Review the source before running it.
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Repository context
- Repository stars (not skill ratings)
- 307
- Repository last updated
- Nov 9, 2026
- License
- Apache-2.0
Observed agent integration: No specific integration evidence. Standard SKILL.md installation does not imply verified compatibility.
- engineering Derived category
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# Performance RCA
Explain the observed performance problem: which workload changed, which code
path accounts for it, and what evidence supports the mechanism. A hotspot is a
location; an anomaly is a lead; neither alone proves a root cause. Stop at the
strongest supported conclusion, including an inconclusive result. Code changes
and proactive optimization are separate tasks.
## Investigation contract
1. Follow Sections 1–5 in order. Reuse verified evidence from an earlier step
or referring investigation; do not repeat discovery merely to satisfy the
sequence. Establish each step's prerequisites before interpreting its result.
2. Fix the context, datasource, UTC windows, selectors, and profile type before