Improve Performance Agent Skill

Make the app or code measurably faster — UI responsiveness and jank, startup time, request latency, throughput, memory.

Context cost
2k tokensestimated from the bundle, loaded when it triggers
Bundle
1 file · 8.0 kBtext throughout, nothing executable
Licence
not declarednone named by its author
Last change
—no release on file
Servers it uses
Noneruns standalone

What it does

Make the app or code measurably faster — UI responsiveness and jank, startup time, request latency, throughput, memory. Profile first to find the real bottleneck, fix the biggest one, then prove the gain with before and after numbers. Use whenever the user invokes /improve-performance or says "make it faster", "the UI is laggy/janky", "optimize this", "it takes too long to load", "reduce latency", "it uses too much memory", or "improve performance". Measurement driven, never guesswork.

What this skill changes about the agent has not been set out here as a list. Its SKILL.md, shown below, says it in the author’s own words.

analyticsperformance

The skill itself

A skill is instructions the model reads, so you can see what you are getting: below is the start of its SKILL.md. The front matter loads with every session, the body loads when the skill triggers, and the whole file comes with the install.

SKILL.md8.0 kB · preview
--- name: improve-performance ---
6# Improve Performance
7
8Performance work is measurement work. The single most reliable fact about optimization is that **the bottleneck is almost never where you think it is** — so the whole discipline here is: measure, fix the biggest thing, measure again, keep it only if the number actually moved.
9
10## Rule zero: never optimize on a hunch
11
12Do not touch a line of code until you have data showing where the time actually goes. Guessed optimizations usually make the code uglier, sometimes make it slower, and almost always target the wrong thing. If you find yourself saying "this loop looks slow," stop and profile it.
13
14## Rule one: when invoked, DELIVER a real measured improvement — scope is the whole app
15
16If the user explicitly ran /improve-performance, the deliverable is **an actual performance improvement with before→after numbers**, not a report explaining why you didn't make one. "I didn't make a perf change" / "the one area I looked at had no easy win" / "the real fix is a big redesign so I did nothing" are **not** acceptable end states — they're the same not-delivering failure as invoking /new-features and doing bug fixes instead.
17
18- **Do not narrow to the feature currently in focus.** If you just built the call layer and it has no easy win, that does *not* mean the run is done. Profile the **whole app** — startup, the hot path, list/scroll jank, request latency, DB queries, memory — and find the biggest real bottleneck *anywhere*, then fix that. On any real application there is essentially always a genuine, measurable win somewhere; a shallow "nothing to do here" almost always means you looked at one spot, not the app.
19- **You still never fabricate.** The win must be real and measured (Step 4 — keep it only if the number moved). The bar is: do a genuine broad profiling pass and fix the biggest thing it surfaces. The only honest "no change" is *after* profiling the whole app and finding nothing above noise — which is rare, and when you claim it you must name exactly what you profiled and the numbers that showed it was already fast.
20- **A big-redesign bottleneck (e.g. "full mesh is O(n²), needs an SFU") is a real finding — but it doesn't excuse shipping zero improvement.** Record the redesign as the next big item (or a /later-ideas entry), and *also* land a real smaller win this run. Don't let "the perfect fix is large" become "so I did nothing."
21
22## Step 1: Define "slow" and get a baseline number
23
24Optimizing without a metric is unfalsifiable. Pin down:
This is a preview of SKILL.md. Download or install the skill to get the whole thing.
In the file
SKILL.md1,313 words
Files1
Licencenot declared
Why you can read it

Nothing in a skill executes. The client loads the text and the model follows it, so a skill can be audited the way a runbook is — by reading it.

What it costs in context

Skills are not billed by the call. They are paid for in context: every token the instructions occupy is a token your code, your diff and your conversation cannot use. Here is what this one takes and when it takes it.

≈130
always loaded
The name and description, so the model knows the skill exists and when to reach for it.
1,870
on trigger
The instruction body, read only when the skill fires.
1.0%
of a 200k window
Ten skills this size would take about 10% of the window before you open a file.
050k100k150k200k context window

2k tokens, estimated from the bundle at four bytes to the token, held for the rest of the session once it triggers. Middling. Fine to keep on in a project where you use it weekly, worth unloading in one where you never do.

Servers bill, skills cost

A server charges by the month. A skill charges once per session, in context, and then keeps charging it for as long as the session lives.

Before and after

The same question, put to the same model twice: once as it comes, and once with these instructions loaded.

No worked example has been published for this skill yet.

The procedure it runs

The procedure has not been set out here step by step. It is in the body of its SKILL.md: the start of it is shown above, and the whole file comes with the install.

Prose, not code

These steps are written for a model to follow, not executed by a runtime. It can still be told to skip one, and it will say so when it does.

Servers it uses

None. This skill calls no MCP servers at all.

Everything it needs is in the instructions, so it works in a project with nothing connected — the model reads the file and changes how it works with what it can already reach.

Its SKILL.md does not declare which tools it asks the agent for, so what it touches is whatever the instructions themselves ask for — read them before you install it.

What it asks for
Writes filesnot declared
Network accessnot declared

This SKILL.md carries no allowed-tools line, so neither is declared. A skill grants no permissions of its own — it can only ask for tools your client already has.

What it will not do

Every skill is narrow, and the useful ones say where they stop. These are the jobs this one is the wrong tool for.

What this skill is not for has not been published here. Nothing is implied by that: it is a section the author has not filled in.

What is in the bundle

1 file, 8.0 kB on disk. A bundle is text throughout: the instructions the model reads, plus the templates it fills in.

  • SKILL.md8.0 kB
What is not in it

No dependencies and nothing executable: a skill is text the agent reads, so the bundle is 1 file you can review in full before installing.

Install

Installing copies the bundle into your project. Nothing runs at install time — the files sit on disk until the model reads them.

# Improve Performance · 2k tokens when loaded · macOS, Linux mkdir -p .claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/improve-performance/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/improve-performance" ] && { [ ! -e .claude/skills/improve-performance ] || { mv .claude/skills/improve-performance "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/improve-performance" .claude/skills/ && echo "Installed .claude/skills/improve-performance"
On Windows, or any OS with Node 20+
npx mcprush@latest skill add nexus-organization-infosec/improve-performance

Windows PowerShell says 'running scripts is disabled on this system'? Run Set-ExecutionPolicy -Scope CurrentUser RemoteSigned once, or type npx.cmd instead of npx (codex.cmd, gemini.cmd, grok.cmd likewise). PowerShell 7 needs neither. Writes to .claude/skills/improve-performance/ in the current project. For every project instead, run mkdir -p ~/.claude/skills && t=$(mktemp -d) && curl -fsSL -o "$t/bundle.tar.gz" https://mcprush.com/api/skills/improve-performance/bundle.tar.gz && tar -xzf "$t/bundle.tar.gz" -C "$t" && [ -d "$t/improve-performance" ] && { [ ! -e ~/.claude/skills/improve-performance ] || { mv ~/.claude/skills/improve-performance "$t/.previous" && echo "Previous copy moved to $t/.previous"; }; } && mv "$t/improve-performance" ~/.claude/skills/ && echo "Installed ~/.claude/skills/improve-performance" (macOS, Linux) — or add --global to the npx line. The curl line replaces .claude/skills/improve-performance/ only after the download succeeds, so files left there by another skill of the same name, or by an older release, do not mix in. A copy already there is moved aside, not deleted, and the line prints where.

Which clients pick it up on their own

A skill is a folder of text. Most of these read a skills folder and pick it up without being told; the rest take the same folder another way — an upload in the app, a parameter on an API call — and then choose it by its description just the same.

Claude Code.claude/skills/
Claude DesktopCustomize › Skills
ChatGPTSkills › Create › Upload
Cursor.cursor/skills/
VS Code.github/skills/
Codex CLI.agents/skills/
Gemini CLI.gemini/skills/
Grok Build.grok/skills/
Microsoft CopilotSkills › Upload a skill
PerplexityComputer › Skills › Upload a skill
DeepSeek Harness.dsh/skills/
Zed.agents/skills/
Devin Desktop.devin/skills/
Windsurf (legacy).windsurf/skills/
OpenAI Agents SDKInstructions or sandbox Skills
HTTP / APIa request parameter
This release
Versionnot versioned
Publishedno release date on file
PriceFree
Referencenexus-organization-infosec/improve-performance

Versions

Its author publishes no version number, so there is nothing here to pin to: what you install is the folder as it stands today. Instructions change more often than APIs do — a skill can be rewritten entirely without anything it depends on moving.

Pinning

Nothing to pin to: this skill carries no version number of its own. What you install is what the folder holds on the day you install it.

Reviews

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