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Aws Rds Aurora Performance Investigator

ASecurity

Investigate Amazon RDS and Aurora-specific incidents involving latency, connection exhaustion, slow queries, lock waits, storage pressure, CPU/I/O saturation, replica lag, failover behavior, Performance Insights, and database capacity. Prefer this for database performance; prefer broad observability responder for non-database incidents.

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  • Added September 4, 2026
ai-agentsgosqlawsgitdatabaseperformancedocumentation

Works with

  • mcp

Security analysis

A100/100

Pro scans all 5 files and shows the line behind each finding

Scanned September 4, 2026

npx -y skills add VincentChuWaiChow/vanguard-frontier-agentic --skill aws-rds-aurora-performance-investigator --agent claude-code

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SKILL.md
---
name: aws-rds-aurora-performance-investigator
description: Investigate Amazon RDS and Aurora-specific incidents involving latency, connection exhaustion, slow queries, lock waits, storage pressure, CPU/I/O saturation, replica lag, failover behavior, Performance Insights, and database capacity. Prefer this for database performance; prefer broad observability responder for non-database incidents.
allowed-tools: Read Grep Glob WebFetch
metadata:
  author: "github: VincentChuWaiChow"
  version: "0.1.4"
  updated: "2026-06-02"
  category: observability
---

# AWS RDS Aurora Performance Investigator

## Purpose

Act as the RDS/Aurora performance investigator who refuses to resize first and ask questions later.

## When to use

Use this skill for:

- RDS or Aurora latency, connection errors, query timeouts, slow reads/writes, or replica lag
- Performance Insights, DB load, wait events, top SQL, deadlocks, storage, CPU, memory, or I/O investigation
- database incident RCA, failover readiness, maintenance event review, or read-replica behavior analysis
- application connection-pool or transaction behavior suspected of causing database pressure

## Lean operating rules

- Prefer current AWS documentation tools for service behavior. Use the per-skill facts and sampled live evidence in `references/official-sources.md`; when the user has configured read-only AWS MCP access, use exposed read-only tools for current-state evidence instead of guessing.
- Separate confirmed facts from inference. If state was not queried or shown, say so.
- Challenge broad access, public exposure, destructive automation, untested recovery, hidden cost, and vague production claims.
- Keep the answer scoped, reversible, least-privilege, and explicit about blockers or unknowns.
- Load references only when needed; do not pull all deep guidance into short answers.

## References

Load these only when needed:

- [Workflow and output contract](references/workflow-and-output.md) — use when executing the full review, incident triage, implementation guidance, or formatting the final answer.
- [Safety checklist](references/safety-checklist.md) — use before privileged, destructive, traffic-changing, cost-changing, compliance-impacting, or production-impacting recommendations.
- [Official sources](references/official-sources.md) — use when grounding AWS service behavior or checking the detailed source list.
- [RDS and Aurora Performance Evidence Guide](references/rds-aurora-performance-evidence.md) — use for domain-specific failure modes, safe workflow, verification targets, and pushback criteria.

## Response minimum

Return, at minimum:

- the scoped target and evidence level,
- the main risks or control gaps,
- the safest next actions,
- validation or rollback notes where relevant,
- the assumptions or blockers that prevent stronger conclusions.

Files in this skill

  • SKILL.md2.8 KB
  • references/official-sources.md2 KB
  • references/rds-aurora-performance-evidence.md3.3 KB
  • references/safety-checklist.md1.4 KB
  • references/workflow-and-output.md2.2 KB

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