mismatch-check

Evaluate agent tooling alignment and output Match, Mismatch, or Overengineered verdicts.

4|1|Updated Apr 11, 2026
One-click install
npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill mismatch-check
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: mismatch-check
Source: https://github.com/m2ai-portfolio/m2ai-skills-pack/tree/main/skills/mismatch-check
Command: npx skills add https://github.com/m2ai-portfolio/m2ai-skills-pack --skill mismatch-check

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Diagnosis of mismatches between your agent tooling and the real problem to prevent architecture drift and wasted work.

Core Features & Use Cases

  • Detects mismatch between current tooling and the actual problem
  • Classifies architecture needs as Match, Mismatch, or Overengineered
  • Provides actionable migration guidance to align tooling with goals

Quick Start

Provide a concise description of your current agent setup and the problem you're trying to solve, then request a mismatch analysis.

Frequently Asked Questions about mismatch-check

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

FAQPage Schema
How do I check if my agent architecture aligns with my problem requirements?

Agent architecture alignment is checked by evaluating your current tooling setup against mismatch criteria, yielding a Match, Mismatch, or Overengineered verdict with actionable migration steps.

Why does my agent setup fail to deliver the expected results?

Agent setups fail to deliver when architectural misfits exist between your tooling and the underlying problem, causing architecture drift and wasted work that requires diagnosis to resolve.

When do I need to diagnose an architecture mismatch in my agent tooling?

Diagnosing an architecture mismatch is needed when evaluating existing agent setups, troubleshooting underperforming agents, or deciding between competing architecture approaches for scalability and governance.

What's the best way to troubleshoot an agent that isn't delivering the right outputs?

The best way to troubleshoot a non-delivering agent is providing a concise description of your current setup and problem, then requesting a mismatch analysis to identify architectural drift.

Can I evaluate whether my agent architecture is overengineered for my actual problem?

You can evaluate overengineered agent architecture by applying mismatch criteria to your current tooling, classifying whether the setup complexity exceeds the underlying problem's actual scalability and governance demands.

Does diagnosing an agent mismatch provide concrete steps to fix the architecture?

Diagnosing an agent mismatch provides concrete migration steps that align your tooling with your goals, moving from a Mismatch or Overengineered state toward a proper Match verdict.