performance-review SKILL.md skillA

performance-review from frnkgns/gentjinskills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add frnkgns/gentjinskills/performance-review@git:20260928.a142223

Pins git:20260928.a142223 in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
frnkgns/gentjinskills
Path
skills/performance-review/SKILL.md
Versions recorded
2
Latest version
git:20260928.a142223, committed Sep 28, 2026
First version recorded
Sep 26, 2026
Size
2,242 bytes
Repository stars
7
License
none declared

Find real performance problems using measurement instead of speculation. Use when performance is reported as an issue, the user asks for optimization, a review spots potentially expensive behavior, or a change is suspected of causing a measurable slowdown. Owns cross-stack methodology for caching, N+1 behavior, and resource leaks; use `frontend-review` for render performance and `database-review` for query cost.

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 Review

## Principle

Measure first. Do not add caching or memoization without evidence that it is useful and safe.

## Workflow

1. Measure or gather evidence: timings, query counts, bundle sizes, request counts, profiles, or traces from the actual runtime.
2. Locate the bottleneck, not the suspected code.
3. Explain the cause in terms of the measured cost.
4. Suggest the smallest useful optimization with its expected effect.
5. Implement only when authorized.
6. Measure again and report the before/after result.

## Review Areas

- Unnecessary or duplicated network requests.
- N+1 query and request behavior.
- Repeated server work that could be done once per request or per batch.
- Expensive rendering, unnecessary re-renders, and unstable effect dependencies.
- Over-fetching data or columns, and unbounded result sets.
- Large client bundles, oversized client components, and heavy dependencies.
- Blocking tasks on critical paths, and sequential awaits that could run concurrently.
- Inefficient loops and repeated work inside render or request paths.
- Caching opportunities, including correct invalidation.
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add frnkgns/gentjinskills/performance-review@sha256:f72a6ecebcad5579

The line at the top of this page pins the label git:20260928.a142223, 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_rb4u2eas6cxu3fft.svg)](https://markdownregistry.com/a/art_rb4u2eas6cxu3fft)

1 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 Sep 28, 2026, about one every 2 days.

versioncommittedcommitsizeaudit
git:20260928.a142223 latest2026-09-28 a142223 2,242 BA view · diff
git:20260926.3185b842026-09-26 3185b84 2,118 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 (2242 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

frnkgns/gentjinskills · 7 stars · license none declared · pushed 2026-10-21 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_rb4u2eas6cxu3fft
GET https://markdownregistry.com/api/v1/resolve?ref=frnkgns/gentjinskills/performance-review
GET https://markdownregistry.com/api/v1/blob/f72a6ecebcad55790d2e74764a5f070b5887a86c9eb4782593fecebd4bd3ab5f

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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Every file in frnkgns/gentjinskills

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