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simulation-metrics

Use this skill when calculating control system performance metrics such as rise time, overshoot percentage, steady-state error, or settling time for evaluating simulation results.

Packaged view

This page reorganizes the original catalog entry around fit, installability, and workflow context first. The original raw source lives below.

Stars
785
Hot score
99
Updated
March 20, 2026
Overall rating
C3.9
Composite score
3.9
Best-practice grade
A85.2

Install command

npx @skill-hub/cli install benchflow-ai-skillsbench-simulation-metrics

Repository

benchflow-ai/SkillsBench

Skill path: tasks/adaptive-cruise-control/environment/skills/simulation-metrics

Use this skill when calculating control system performance metrics such as rise time, overshoot percentage, steady-state error, or settling time for evaluating simulation results.

Open repository

Best for

Primary workflow: Ship Full Stack.

Technical facets: Full Stack.

Target audience: Development teams looking for install-ready agent workflows..

License: Unknown.

Original source

Catalog source: SkillHub Club.

Repository owner: benchflow-ai.

This is still a mirrored public skill entry. Review the repository before installing into production workflows.

What it helps with

  • Install simulation-metrics into Claude Code, Codex CLI, Gemini CLI, or OpenCode workflows
  • Review https://github.com/benchflow-ai/SkillsBench before adding simulation-metrics to shared team environments
  • Use simulation-metrics for development workflows

Works across

Claude CodeCodex CLIGemini CLIOpenCode

Favorites: 0.

Sub-skills: 0.

Aggregator: No.