Optimization SKILL.md skillA

Optimization from nxtg-ai/forge-plugin is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add nxtg-ai/forge-plugin/Optimization@git:20261007.7682d9b

Pins git:20261007.7682d9b in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
nxtg-ai/forge-plugin
Path
plugins/nxtg-forge/skills/optimization/SKILL.md
Versions recorded
4
Latest version
git:20261007.7682d9b, committed Oct 7, 2026
First version recorded
Feb 7, 2026
Size
7,476 bytes
Repository stars
6
License
MIT

Measure-first performance optimization playbook — profiling discipline, bottleneck triage (CPU/memory/I/O), caching layers, and the algorithm/DB/frontend/network fix patterns. Use when the user reports something is slow ("dashboard takes forever", "API is laggy", "bundle is 2MB", "memory keeps growing"), asks to profile, benchmark, reduce latency/bundle-size, or fix N+1 queries — and to interpret the output of the /nxtg-forge:optimize command or the `performance` agent.

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

Diagnose and fix performance problems **from measurement, never from guessing**. This
skill is the reasoning layer; the deterministic scan lives in the `/nxtg-forge:optimize`
command and the `performance` agent.

## The one rule

> Measure → find the real bottleneck → fix that one thing → re-measure. Repeat.

Premature optimization wastes effort on code that isn't hot. A profile that shows
where time/memory/allocations actually go beats any intuition. Optimize the top item,
prove the delta, then re-profile — the bottleneck usually moves.

## Where this fits in Forge

| Surface | What it does | When |
|---|---|---|
| `/nxtg-forge:optimize` (command) | Deterministic 7-dimension static scan (large files, `as any`, dead exports, deps, dup, console, TODO debt) + optional `--fix` | Codebase-health sweep, refactor triage |
| `performance` agent (`agents/performance.md`) | Bundle analysis, React render profiling, memory-leak hunting, API latency | Deep dive on a specific slow surface |
| This skill | The measure-first method + fix patterns both of the above apply | Any "it's slow" reasoning |
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add nxtg-ai/forge-plugin/Optimization@sha256:aa9b778d69cc6733

The line at the top of this page pins the label git:20261007.7682d9b, 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_pdp2pbbitauiv5l5.svg)](https://markdownregistry.com/a/art_pdp2pbbitauiv5l5)

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

Versions

The registry has recorded 4 versions of this file, between Feb 7, 2026 and Oct 7, 2026, about one every 81 days.

versioncommittedcommitsizeaudit
git:20261007.7682d9b latest2026-10-07 7682d9b 7,476 BA view · diff
git:20260714.4fd09522026-07-14 4fd0952 7,446 BA view · diff
git:20260714.061716b2026-07-14 061716b 2,837 BA view · diff
git:20260207.88c1f6e2026-02-07 88c1f6e 2,814 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 (7476 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

nxtg-ai/forge-plugin · 6 stars · license MIT · pushed 2026-10-15 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_pdp2pbbitauiv5l5
GET https://markdownregistry.com/api/v1/resolve?ref=nxtg-ai/forge-plugin/Optimization
GET https://markdownregistry.com/api/v1/blob/aa9b778d69cc67338e14e6585347ec6ce86a5ee0f2f25d702e01c114696495cc

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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