cjk-token-reducer
The cjk-token-reducer tool reduces Claude Code token usage by 35-50% when working with Chinese, Japanese, and Korean texts, making it more cost-effective for AI-related tasks.
- •When building applications that heavily rely on text processing for CJK languages
- •When optimizing AI model performance for CJK text analysis
- •When trying to reduce costs associated with token usage in AI services
./target/release/cjk-token-reducer example_cjk_text.txt
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/cjk-token-reducer && curl -fsSL https://workflowstacks.com/api/skills/cjk-token-reducer/claude-skill -o ~/.claude/skills/cjk-token-reducer/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Cjk-token-reducer is a medium Rust project (~6.5k lines across 14 code files). Expect some technical setup — comfortable with a terminal, or ask a developer. Last commit this month, MIT license, no tests found.
- 1README.mdStart here — what it does and how to install it
- 2src/main.rsWhere the program starts running
- 3Cargo.tomlDependencies and the commands it exposes
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/cjk-token-reducer && curl -fsSL https://workflowstacks.com/api/skills/cjk-token-reducer/claude-skill -o ~/.claude/skills/cjk-token-reducer/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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