container-management:gpu-bottleneck-analysis

Installation
SKILL.md

GPU Pool Bottleneck Analysis

Analyze GPU cluster capacity across multiple clusters, predict bottlenecks under increased inference QPS, and recommend concrete actions (scale, throttle, or reroute).

REQUIRED SUB-SKILL: Use dce for all command execution, auth checks, and catalog discovery.

SCOPE: Read-only analysis. This skill does NOT create, modify, or delete any resources.

When to Use

  • "If traffic increases by 30%, which GPU pool will bottleneck first?"
  • "Should we scale, throttle, or change routing for GPU workloads?"
  • "GPU capacity planning across clusters"
  • "Which cluster has the most GPU headroom?"
  • "Predict GPU saturation under load increase"
Installs
6
GitHub Stars
12
First Seen
Jul 7, 2026
container-management:gpu-bottleneck-analysis — daocloud/daocloud-skills