OmniGlyph
OmniGlyph reduces Claude bills by 59-70% by converting bulky LLM context into dense PNG pages with 100% read accuracy
- •When you're using Claude for large-scale language model inference and want to minimize costs
- •When you need to optimize billing for multiple provider services like Anthropic, OpenAI, or Gemini
- •When you want to ensure fail-closed gates and measured benchmarks for your LLM workloads
Run the CLI command with a sample prompt to generate a dense PNG page, e.g., `node cli.js --prompt 'Your sample prompt here'`
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/omniglyph && curl -fsSL https://workflowstacks.com/api/skills/omniglyph/claude-skill -o ~/.claude/skills/omniglyph/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
OmniGlyph is a large TypeScript project (~28k lines across 64 code files, plus 82 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, MIT license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2AGENTS.mdThe instructions the AI actually follows
- 3bin/cli.jsWhere the program starts running
- 4package.jsonDependencies and the commands it exposes
- 5src/core/index.tsInside src/ — the main logic begins here
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/omniglyph && curl -fsSL https://workflowstacks.com/api/skills/omniglyph/claude-skill -o ~/.claude/skills/omniglyph/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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