Rust Binary Size

OrganizationPopular

ccusage

rust-binary-size

Guides Rust binary size reduction for ccusage. Use when changing the rust/Cargo.toml release profile, dependency features, native packaging size, or investigating executable bloat with cargo bloat.

Overview

Publisher	ccusage
Repository	`ccusage`
Skill name	`rust-binary-size`
Stars	19K
Forks	871
Bundled files	Instructions only
Links	Skill source Repository Homepage

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
Self-contained
Everything the model needs lives in the instructions — no extra files to sync.
Open source
Published by ccusage on GitHub. Read the source before you install it.

Installation

Install the Rust Binary Size AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/ccusage/ccusage/tree/main/.agents/skills/rust-binary-size
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/ccusage/ccusage.git /tmp/ccusage
mkdir -p .claude/skills
cp -r /tmp/ccusage/.agents/skills/rust-binary-size .claude/skills/rust-binary-size

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rust Binary Size in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Rust Binary Size on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Rust Binary Size is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Rust Binary Size

https://github.com/johnthagen/min-sized-rust

Baseline

[profile.release] in rust/Cargo.toml already applies the min-sized-rust settings, including a separate opt-level for dependencies. Read it before adding anything, and change it only when a measurement argues for it.

What ends up in a published platform package is the single bin/ccusage staged by the Nushell scripts in apps/ccusage/scripts/, so packaged size tracks the binary almost exactly. The development skill covers that packaging seam.

Investigation

Measure before editing code or dependencies:

sh
direnv exec . cargo build --manifest-path rust/Cargo.toml --release --bin ccusage
ls -lh rust/target/release/ccusage

When the release profile does not explain a regression, look at feature flags (cargo tree -e features -p ccusage) and large symbols (cargo bloat --release --bin ccusage --crates), both against the same manifest. cargo bloat is not in the dev shell; the missing-tools skill covers running it without a flake change.

Change Ordering

Low-risk first: drop unnecessary dependency default features once tests show they are unused, narrow optional features rather than swapping a well-fitting crate, and remove dead release-only code paths or assets. CLI behavior, JSON output, table output, and packaging semantics stay unchanged unless the user asks otherwise.

These are opt-in experiments, appropriate only when the user asks for an aggressive minimum-size push: nightly-only flags (-Zlocation-detail, -Zfmt-debug, panic=immediate-abort, build-std), #![no_std]/#![no_main] with manual stdio, binary packers such as UPX, and prefer-dynamic linking.

Validation

For release-profile or packaging changes, rebuild the native CLI, compare against the earlier measurement, and record the command and result in the PR body or review reply. Repo-wide format and test recipes are in the development skill.

Frequently asked questions

What does the Rust Binary Size AI skill do?

Guides Rust binary size reduction for ccusage. Use when changing the rust/Cargo.toml release profile, dependency features, native packaging size, or investigating executable bloat with cargo bloat.

Why use Rust Binary Size on TypingMind?

Because you install it once and use it with any model. Rust Binary Size is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Rust Binary Size in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/ccusage/ccusage/tree/main/.agents/skills/rust-binary-size. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rust Binary Size?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Rust Binary Size?

As many as you like. As long as a model supports skills, you can use Rust Binary Size with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Rust Binary Size AI skill free?

It is published on GitHub by ccusage. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Rust Binary Size

Baseline

Investigation

Change Ordering

Validation

Frequently asked questions

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