rtk
RTK is a CLI proxy that reduces Large Language Model (LLM) token consumption by 60-90% on common development commands.
- •When developing applications that rely heavily on LLMs and token usage needs to be optimized
- •When using LLMs for tasks like code completion, text summarization, or natural language processing
- •When trying to reduce costs associated with LLM token consumption in development workflows
rtk my-llm-model --prompt 'Summarize the following text: ...'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/rtk && curl -fsSL https://workflowstacks.com/api/skills/rtk/claude-skill -o ~/.claude/skills/rtk/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Rtk is a very large Rust project (~73k lines across 154 code files, plus 15 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit this month, Apache-2.0 license, has a test suite.
Filters command outputs for AI tools
- 1README.mdStart here — what it does and how to install it
- 2CLAUDE.mdThe instructions the AI actually follows
- 3src/main.rsWhere the program starts running
- 4Cargo.tomlDependencies and the commands it exposes
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
A prompt/skill package — nothing to install beyond adding it to your AI tool.
mkdir -p ~/.claude/skills/rtk && curl -fsSL https://workflowstacks.com/api/skills/rtk/claude-skill -o ~/.claude/skills/rtk/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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Pages we wrote and tested that put a skill like this to work — importable n8n templates, outcome guides and Claude Desktop configs.
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