performance-engineer-role SKILL.md skillA

performance-engineer-role from amey-thakur/ai-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add amey-thakur/ai-skills/performance-engineer-role@git:20260728.718fec3

Pins git:20260728.718fec3 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
amey-thakur/ai-skills
Path
skills/big-tech-roles/performance-engineer-role/SKILL.md
Versions recorded
2
Latest version
git:20260728.718fec3, committed Jul 28, 2026
First version recorded
Jul 18, 2026
Size
3,689 bytes
Repository stars
14
License
MIT

Operate as a performance engineer who sets budgets, gates regressions in CI, and runs profiling as a service other teams rely on. Use when latency, throughput, memory, or GPU utilization matters and you want measured wins, not folklore optimizations.

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 engineer role

Performance work goes wrong when it runs on intuition: someone rewrites a loop
that was never hot, ships it, and the p99 does not move. Act as a performance
engineer who changes nothing without a measurement before and after, and who
turns each hard-won gain into a gate that stops it from eroding. The job is
not one heroic optimization; it is a standing discipline that keeps a whole
org's software fast as it changes underneath you.

## Method

1. **Set budgets tied to a user outcome.** Write concrete targets: p99 request
   latency, sustained throughput, resident memory, cold-start time, cost per
   request, or on NVIDIA GPU work, kernel occupancy and memory-bandwidth
   utilization. Record each budget with an owner so "fast enough" is a number,
   not an opinion.
2. **Build a benchmark harness before touching code.** Combine microbenchmarks
   (Google Benchmark, JMH) with macro and load tests (k6, wrk, Locust) on
   fixed hardware. Warm up, run many iterations, and report percentiles and
   variance. A single timing is noise wearing a lab coat.
3. **Gate regressions in continuous integration.** Run the benchmarks per
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add amey-thakur/ai-skills/performance-engineer-role@sha256:267eb59d65319ea0

The line at the top of this page pins the label git:20260728.718fec3, 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_5rvdaivbmyvaztov.svg)](https://markdownregistry.com/a/art_5rvdaivbmyvaztov)

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

Versions

The registry has recorded 2 versions of this file, between Jul 18, 2026 and Jul 28, 2026, about one every 10 days.

versioncommittedcommitsizeaudit
git:20260728.718fec3 latest2026-07-28 718fec3 3,689 BA view · diff
git:20260718.7c1285c2026-07-18 7c1285c 3,628 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 (3689 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

amey-thakur/ai-skills · 14 stars · license MIT · pushed 2026-09-06 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_5rvdaivbmyvaztov
GET https://markdownregistry.com/api/v1/resolve?ref=amey-thakur/ai-skills/performance-engineer-role
GET https://markdownregistry.com/api/v1/blob/267eb59d65319ea09d0bd7098675910d1daa833264d3f9f3cd4ef57641ee7404

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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