performance-optimization SKILL.md skillA

performance-optimization from svngoku/coding-agents-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add svngoku/coding-agents-skills/performance-optimization@git:20260813.4b33420

Pins git:20260813.4b33420 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
svngoku/coding-agents-skills
Path
skills/performance-optimization/SKILL.md
Versions recorded
1
Latest version
git:20260813.4b33420, committed Aug 13, 2026
Size
13,834 bytes
Repository stars
12
License
MIT

Systematically find and fix performance problems in applications, frontend and backend, by measuring first. Use this skill whenever the user reports slow endpoints, high latency, poor throughput, memory leaks, large bundles, or slow page loads; wants to profile with cProfile, py-spy, Chrome DevTools, Node --cpu-prof, or perf; run load tests with locust or k6; set performance budgets or SLOs; optimize database queries (EXPLAIN, indexes, N+1); add caching (Redis); improve frontend performance…

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

Most "slow" problems are diagnosed by guesswork. This skill replaces guessing with a
measure-first workflow: profile, fix minimally, re-measure against a budget. Covers backend
(database, caching, concurrency), frontend (bundles, images, rendering), network (CDN,
compression, HTTP), and memory, with concrete tools and before/after examples.

## Quick Reference

| Topic | Reference |
|-------|-----------|
| Profiling tools per runtime and reading flame graphs | [profiling-tools.md](references/profiling-tools.md) |
| EXPLAIN, index design, N+1 fixes, caching, pooling | [backend-optimization.md](references/backend-optimization.md) |
| Bundles, images, React rendering, Core Web Vitals | [frontend-performance.md](references/frontend-performance.md) |

## Core Workflow

### 1. Measure First

Never optimize before you can answer: *"how do I know it got faster?"*

1. **Reproduce** — get a repeatable trigger (endpoint, page, script, load profile).
2. **Baseline** — record current latency distribution, throughput, and resource usage.
3. **Budget** — set an explicit target (e.g., p95 < 200 ms, initial JS < 170 KB gzipped).
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add svngoku/coding-agents-skills/performance-optimization@sha256:0ccc15dd66e95899

The line at the top of this page pins the label git:20260813.4b33420, 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 badge

[![mdr](https://markdownregistry.com/badge/art_kbwald7kkgyvweqk.svg)](https://markdownregistry.com/a/art_kbwald7kkgyvweqk)

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

Versions

The registry has recorded 1 version of this file, committed on Aug 13, 2026.

versioncommittedcommitsizeaudit
git:20260813.4b33420 latest2026-08-13 4b33420 13,834 BA 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 (13834 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

svngoku/coding-agents-skills · 12 stars · license MIT · pushed 2026-10-19 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_kbwald7kkgyvweqk
GET https://markdownregistry.com/api/v1/resolve?ref=svngoku/coding-agents-skills/performance-optimization
GET https://markdownregistry.com/api/v1/blob/0ccc15dd66e95899d41c59705f59fc32ff3ec33696ed8d16433468aa056ddb7d

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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