Home / shashankswe2020-ux / whoop-mcp · GitHub

performance-optimization SKILL.md skillA

This file is byte-identical to the first copy the registry indexed, one of 3 indexed copies. Same content hash, so the same checks give both the same grade.

performance-optimization from shashankswe2020-ux/whoop-mcp is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned

mdr add shashankswe2020-ux/whoop-mcp/performance-optimization@git:20260410.1a22ea0

Pins git:20260410.1a22ea0 in mdr.lock. Pin the fingerprint instead.

Audit grade: A, 17 of 17 checks passed
Kind: SKILL.md skill
Repository: shashankswe2020-ux/whoop-mcp
Path: .github/skills/performance-optimization/SKILL.md
Versions recorded: 1
Latest version: git:20260410.1a22ea0, committed Apr 10, 2026
Size: 11,593 bytes
Repository stars: 179
License: MIT

Optimizes application performance. Use when performance requirements exist, when you suspect performance regressions, or when Core Web Vitals or load times need improvement. Use when profiling reveals bottlenecks that need fixing.

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 shashankswe2020-ux/whoop-mcp/performance-optimization@sha256:46ebf029d5fe812c

The line at the top of this page pins the label git:20260410.1a22ea0, 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_lcvi2nymo3yksafg.svg)](https://markdownregistry.com/a/art_lcvi2nymo3yksafg)

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

Versions

The registry has recorded 1 version of this file, committed on Apr 10, 2026.

version	committed	commit	size	audit
git:20260410.1a22ea0 latest	2026-04-10	1a22ea0	11,593 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 (11593 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

shashankswe2020-ux/whoop-mcp · 179 stars · license MIT · pushed 2026-11-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_lcvi2nymo3yksafg
GET https://markdownregistry.com/api/v1/resolve?ref=shashankswe2020-ux/whoop-mcp/performance-optimization
GET https://markdownregistry.com/api/v1/blob/46ebf029d5fe812c312d4c5388ba7f07a076685fd30c7dfa7539c07763f1304e

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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