skills.rest
vinhnguyenn020325-cmd
vinhnguyenn020325-cmdCOMMUNITY
Explore all skills by this author →
GitHub

benchmark-agents

Execute AI agent benchmark scenarios to stress-test Vercel platform features.

Updated May 31, 2026
Search Tags:#benchmarking#ai agent#vercel#stress testing#skill injection
One-click install
npx skills add https://github.com/vinhnguyenn020325-cmd/dinzkorea --skill benchmark-agents-vinhnguyenn020325-cmd
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: benchmark-agents
Source: https://github.com/vinhnguyenn020325-cmd/dinzkorea/tree/main/.test-vercel-plugin/.claude/skills/benchmark-agents
Command: npx skills add https://github.com/vinhnguyenn020325-cmd/dinzkorea --skill benchmark-agents-vinhnguyenn020325-cmd

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps developers and system architects evaluate the performance and capabilities of Vercel's platform by running advanced AI agent benchmark scenarios.

Core Features & Use Cases

  • AI Agent Benchmarking: Test Vercel's Workflow DevKit, AI Gateway, MCP, Chat SDK, Queues, Flags, Sandbox, and multi-agent orchestration.
  • Stress-Testing Skill Injection: Verify skill injection into complex, multi-system builds.
  • Evaluation Loop: Includes setup, launch, monitor, verify, fix, release, and repeat to cover the full eval loop.

Quick Start

Launch a Claude Code session with the plugin installed, verify skill injection, and monitor PostToolUse validation catches.

Frequently Asked Questions about benchmark-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I stress-test Vercel's AI Gateway and multi-agent orchestration?▼

You can stress-test Vercel's AI Gateway and multi-agent orchestration by executing advanced AI agent benchmark scenarios that utilize interactive tool calls, debug logging, and post-processing analysis to evaluate platform performance and stability.

What is skill injection in complex multi-system builds?▼

Skill injection in complex multi-system builds is the mechanism of verifying external capabilities are correctly integrated, validated here through PostToolUse catches during a full evaluation loop of setup, launch, monitor, verify, fix, and release.

Can I use this benchmarking tool to test Vercel Queues and Flags?▼

Yes, you can benchmark Vercel Queues and Flags by running the included AI agent scenarios, which specifically target Vercel's Workflow DevKit, Chat SDK, Sandbox, and multi-agent orchestration features to validate platform stability.

How do I validate AI agent performance on Vercel step by step?▼

Validate AI agent performance on Vercel by running the full evaluation loop: setup, launch, monitor, verify, fix, release, and repeat, while using debug logging and post-processing analysis to evaluate platform stability.

Do I need a Claude Code session to run Vercel platform benchmarks?▼

Yes, you need to launch a Claude Code session with the plugin installed to run Vercel platform benchmarks, verify skill injection, and monitor PostToolUse validation catches during the evaluation loop.

Related Skills

Explore More Software Engineering Skills→
vercel-labsvercel-labs
246

benchmark-agents

Benchmark AI agents on Vercel with Workflow DevKit and AI Gateway.

Official
Advanced
AMD-AGIAMD-AGI
29

performance-analysis

Analyze MaxText training runs to identify performance bottlenecks using TSDB, TraceLens, and IRLens.

Official
Advanced
Extremez-SuryaExtremez-Surya

benchmark-agents

Evaluate AI agent performance and skill injection in multi-system builds.

Community
Advanced
latestaiagentslatestaiagents
5

performance-testing

Design and execute load and stress tests with k6 and Artillery.

Official
Advanced