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performance-optimization SKILL.md skillA

performance-optimization from gastonchevarria/god-mode is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add gastonchevarria/god-mode/performance-optimization@git:20261014.522e28a

Pins git:20261014.522e28a in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: gastonchevarria/god-mode
Path: plugins/god-mode-core/skills/performance-optimization/SKILL.md
Versions recorded: 2
Latest version: git:20261014.522e28a, committed Oct 14, 2026
First version recorded: Sep 26, 2026
Size: 11,543 bytes
Repository stars: 3
License: MIT

Optimizes performance across frontend, backend and database: Core Web Vitals, load time, N+1 queries, profiling. Use for slow pages, suspected regressions or performance targets.

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# Performance Optimization

## Overview

Measure before optimizing. Performance work without measurement is guessing — and guessing leads to premature optimization that adds complexity without improving what matters. Profile first, identify the actual bottleneck, fix it, measure again. Optimize only what measurements prove matters.

## When to Use

- Performance requirements exist in the spec (load time budgets, response time SLAs)
- Users or monitoring report slow behavior
- Core Web Vitals scores are below thresholds
- You suspect a change introduced a regression
- Building features that handle large datasets or high traffic

**When NOT to use:** Don't optimize before you have evidence of a problem. Premature optimization adds complexity that costs more than the performance it gains.

## Core Web Vitals Targets

| Metric | Good | Needs Improvement | Poor |
|--------|------|-------------------|------|
| **LCP** (Largest Contentful Paint) | ≤ 2.5s | ≤ 4.0s | > 4.0s |
| **INP** (Interaction to Next Paint) | ≤ 200ms | ≤ 500ms | > 500ms |
| **CLS** (Cumulative Layout Shift) | ≤ 0.1 | ≤ 0.25 | > 0.25 |

## The Optimization Workflow

```
1. MEASURE  → Establish baseline with real data
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint

mdr add gastonchevarria/god-mode/performance-optimization@sha256:feb7d03215bd037c

The line at the top of this page pins the label git:20261014.522e28a, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

[![mdr](https://markdownregistry.com/badge/art_y72hp5l4iw2axese.svg)](https://markdownregistry.com/a/art_y72hp5l4iw2axese)

4 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 2 versions of this file, between Sep 26, 2026 and Oct 14, 2026, about one every 19 days.

version	committed	commit	size	audit
git:20261014.522e28a latest	2026-10-14	522e28a	11,543 B	A	view · diff
git:20260926.941aa31	2026-09-26	941aa31	11,658 B	A	view

Audit of the latest version

A 17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.

pass: Frontmatter block present
pass: Frontmatter declares a name
pass: Frontmatter declares a description
pass: Size between 200 bytes and 200 KB (11543 bytes)
pass: No zero-width or bidi control characters
pass: No instruction hidden inside an HTML comment
pass: No link to an exfiltration or paste host
pass: No credential-shaped string
pass: No instruction to send local credentials anywhere
pass: No text hidden with inline styles
pass: No prompt-injection phrasing
pass: No curl or wget piped into a shell
pass: No recursive delete of root, home or parent
pass: No instruction to read or print local credentials
pass: No base64 blob over 200 characters
pass: No link to a raw IP address
pass: No script tag

Source

GitHub

gastonchevarria/god-mode · 3 stars · license MIT · pushed 2026-10-16 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_y72hp5l4iw2axese
GET https://markdownregistry.com/api/v1/resolve?ref=gastonchevarria/god-mode/performance-optimization
GET https://markdownregistry.com/api/v1/blob/feb7d03215bd037ca6e97d76cd146a6c5cb59b5d45447c58b75f8d0de7afabe3

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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