toonify
Toonify reduces LLM token usage by 30-60% using a compact data format, making it ideal for optimizing language model performance
- •When working with large language models and trying to reduce costs
- •When optimizing AI applications for low-bandwidth or low-compute environments
- •When integrating LLMs into resource-constrained systems or edge devices
python -m toonify --input 'Your input text here' --output 'output.toonify'
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/toonify && curl -fsSL https://workflowstacks.com/api/skills/toonify/claude-skill -o ~/.claude/skills/toonify/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Toonify is a medium Python project (~3.3k lines across 19 code files, plus 9 test files). Setup is light: installs like a normal app. Reading the code is optional. Last commit 9 months ago, no license file, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2toon/cli.pyWhere the program starts running
- 3pyproject.tomlDependencies and the commands it exposes
- 4examples/advanced_features.pyA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/toonify && curl -fsSL https://workflowstacks.com/api/skills/toonify/claude-skill -o ~/.claude/skills/toonify/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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