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Rtk Optimizer

CommunityPopular
FlorianBruniaux
rtk-optimizer

Wrap high-verbosity shell commands with RTK to reduce token consumption. Use when running git log, git diff, cargo test, pytest, or other verbose CLI output that wastes context window tokens.

Overview

PublisherFlorianBruniaux
Repositoryclaude-code-ultimate-guide
Skill namertk-optimizer
Stars
6.1K
Forks
807
Bundled files
Instructions only
LicenseCC-BY-SA-4.0
Links
  • 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 FlorianBruniaux on GitHub. Read the source before you install it.

Installation

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

1

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.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/rtk-optimizer
  4. 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.
2

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/FlorianBruniaux/claude-code-ultimate-guide.git /tmp/claude-code-ultimate-guide
mkdir -p .claude/skills
cp -r /tmp/claude-code-ultimate-guide/examples/skills/rtk-optimizer .claude/skills/rtk-optimizer
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Rtk Optimizer 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 Rtk Optimizer 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 Rtk Optimizer 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.

RTK optimizer skill

Purpose: Automatically suggest RTK wrappers for high-verbosity commands to reduce token consumption.

How it works

  1. Detect high-verbosity commands in user requests
  2. Suggest RTK wrapper if applicable
  3. Execute with RTK when user confirms
  4. Track savings over session

Supported commands

Git (>70% reduction)

  • git log → rtk git log (92.3% reduction)
  • git status → rtk git status (76.0% reduction)
  • find → rtk find (76.3% reduction)

Medium-Value (50-70% reduction)

  • git diff → rtk git diff (55.9% reduction)
  • cat <large-file> → rtk read <file> (62.5% reduction)

JS/TS Stack (70-90% reduction)

  • pnpm list → rtk pnpm list (82% reduction)
  • pnpm test / vitest run → rtk vitest run (90% reduction)

Rust Toolchain (80-90% reduction)

  • cargo test → rtk cargo test (90% reduction)
  • cargo build → rtk cargo build (80% reduction)
  • cargo clippy → rtk cargo clippy (80% reduction)

Python & Go (90% reduction)

  • pytest → rtk python pytest (90% reduction)
  • go test → rtk go test (90% reduction)

GitHub CLI (79-87% reduction)

  • gh pr view → rtk gh pr view (87% reduction)
  • gh pr checks → rtk gh pr checks (79% reduction)

File operations

  • ls → rtk ls (condensed output)
  • grep → rtk grep (filtered output)

Activation examples

User: "Show me the git history" Skill: Detects git log → Suggests rtk git log → Explains 92.3% token savings

User: "Find all markdown files" Skill: Detects find → Suggests rtk find "*.md" . → Explains 76.3% savings

Installation check

Before first use, verify RTK is installed:

bash
rtk --version  # Should output: rtk 0.16.0+

If not installed:

bash
# Homebrew (macOS/Linux)
brew install rtk-ai/tap/rtk

# Cargo (all platforms)
cargo install rtk

Usage pattern

markdown
# When user requests high-verbosity command:

1. Acknowledge request
2. Suggest RTK optimization:
   "I'll use `rtk git log` to reduce token usage by ~92%"
3. Execute RTK command
4. Track savings (optional):
   "Saved ~13K tokens (baseline: 14K, RTK: 1K)"

Session tracking

Optional: Track cumulative savings across session:

bash
# At session end
rtk gain  # Shows total token savings for session (SQLite-backed)

Edge cases

  • Small outputs (<100 chars): Skip RTK (overhead not worth it)
  • Already using Claude tools: Grep/Read tools are already optimized
  • Multiple commands: Batch with RTK wrapper once, not per command

Configuration

Enable via CLAUDE.md:

markdown
## Token Optimization

Use RTK (Rust Token Killer) for high-verbosity commands:
- git operations (log, status, diff)
- package managers (pnpm, npm)
- build tools (cargo, go)
- test frameworks (vitest, pytest)
- file finding and reading

Metrics (verified)

Based on real-world testing:

  • git log: 13,994 chars → 1,076 chars (92.3% reduction)
  • git status: 100 chars → 24 chars (76.0% reduction)
  • find: 780 chars → 185 chars (76.3% reduction)
  • git diff: 15,815 chars → 6,982 chars (55.9% reduction)
  • read file: 163,587 chars → 61,339 chars (62.5% reduction)

Average: 72.6% token reduction

Limitations

  • 446 stars on GitHub, actively maintained (30 releases in 23 days)
  • Not suitable for interactive commands
  • Rapid development cadence (check for breaking changes)

Recommendation

Use RTK for: git workflows, file operations, test frameworks, build tools, package managers Skip RTK for: small outputs, quick exploration, interactive commands

References

Frequently asked questions

What does the Rtk Optimizer AI skill do?

Wrap high-verbosity shell commands with RTK to reduce token consumption. Use when running git log, git diff, cargo test, pytest, or other verbose CLI output that wastes context window tokens.

Why use Rtk Optimizer on TypingMind?

Because you install it once and use it with any model. Rtk Optimizer 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 Rtk Optimizer in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/FlorianBruniaux/claude-code-ultimate-guide/tree/main/examples/skills/rtk-optimizer. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Rtk Optimizer?

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 Rtk Optimizer?

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

Is the Rtk Optimizer AI skill free?

Yes. It is published on GitHub by FlorianBruniaux under the CC-BY-SA-4.0 license. 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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