Demerzels-lab MoltLang Translator
slug: moltlang-skill name: MoltLang Translator
AI-optimized language for efficient agent-to-agent communication. Reduces token usage by 50-70% for common AI operations.
Summary
MoltLang is a compact language designed specifically for AI agents to communicate with each other efficiently. Instead of verbose English instructions like "Fetch data from the API using authentication with timeout 30 seconds," MoltLang expresses the same operation as [OP:fetch][SRC:api][PARAM:auth][PARAM:timeout=30] - reducing token count by 50-70%.
This means faster inference, lower API costs, and more context room for actual work rather than parsing language.
Key Features:
- 50-70% token reduction vs. natural language
- Bidirectional translation (English ↔ MoltLang)
- Built-in error handling patterns (try/catch, retry, log)
- Type safety and validation
- Async and parallel operation support
- Works via public API or install locally (pip/npm)
Commands
molt - Translate English to MoltLang unmolt - Translate MoltLang to English list_tokens - List available tokens validate_molt - Validate translation get_efficiency - Calculate token efficiency
Example
English: Fetch user data from the API using authentication MoltLang: [OP:fetch][SRC:api][PARAM:auth] Savings: 70%
Links
GitHub: https://github.com/jasonlnheath/moltlang API: https://moltlang.up.railway.app Install: pip install moltlang