Nimo × your coding agent
Give your agent
eyes for speed.
Real audits. A focused fix. A way to check it. Bring Nimo into the tools you already build with.
Connect your agent
Claude Code
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ChatGPT
Pi›What’s slowing this page down?
From report to reviewed fix
A performance workflow that stays with you.
Start with evidence.
Bring saved audits, lab diagnostics, and available field data into the conversation. Know which page and metric need attention.
Choose the next fix.
Ask your assistant to explain the likely cause and propose a focused change. Review the work in the codebase you already use.
Check what changed.
After deployment, run a matching audit and compare it with the baseline. Keep immediate lab results separate from slower field trends.
Try asking
Better questions.
Evidence to answer them.
Use Nimo’s saved reports and history without leaving the conversation where you’re doing the work.
Which monitored page should I investigate first?
Why do the lab result and field data disagree?
Compare my last two mobile audits. What changed?
Connect in your preferred client
Follow the MCP setup supported by your client and account. Pi needs an MCP extension; it does not include MCP in its core.
Read the setup guide →Your assistant. Your code.
Nimo’s performance evidence.
Connect your Nimo account, load the agent skill, and start with a saved audit.
Set up Nimo MCPYou review code changes in your assistant.
New audits use your account’s allowance.
Missing field data stays unknown—not a passing score.
A follow-up audit checks the deployed page.