What is the OCTAVE protocol?

OCTAVE is a specialized communication format designed for LLMs that provides a 3-20x reduction in token usage while maintaining structured data integrity.

How does the Octave Literacy skill improve Claude's performance?

It teaches Claude the mandatory syntax, operators, and indentation rules of the OCTAVE format, allowing it to process dense information more efficiently than using JSON or XML.

Does this skill work with standard MCP servers?

Yes, this skill is specifically designed to work with the octave-mcp server to provide a lenient-to-canonical data pipeline.

Can I use Octave Literacy for prompt engineering?

Absolutely. It is ideal for 'injecting' structural competence into an agent, allowing you to layer complex specifications without hitting token limits.

Octave Syntax & Literacy

Name: Octave Syntax & Literacy
Author: elevanaltd

byelevanaltd

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Herramientas para Desarrolladores

Enables Claude to read and write the OCTAVE protocol for token-efficient, high-fidelity structured communication.

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This skill equips Claude with the fundamental proficiency required to handle the OCTAVE (Optimized Communication & Token-efficient Architecture for Validated Environments) protocol. It provides the core syntax rules, symbolic operators, and structural patterns necessary for 3-20x token reduction in AI-to-AI and AI-to-System communication. By implementing this skill, Claude can generate dense, schema-validated outputs and interpret complex data structures without the overhead of natural language filler, making it an essential tool for high-performance agentic workflows and cost-effective prompt engineering.

Características Principales

Achieves 3-20x token reduction using specialized structural syntax
Implements core OCTAVE operators for concatenation, synthesis, and tension
Enforces strict schema validation and lossless data serialization
Provides ASCII aliases for cross-environment compatibility
Standardizes block-level indentation and envelope-based document framing
26 GitHub stars

Casos de Uso

Compressing complex system instructions to reduce LLM latency and cost
Facilitating dense multi-agent communication with high semantic precision
Generating machine-readable logs and structured data for MCP server interaction

Acerca de

Características Principales

Achieves 3-20x token reduction using specialized structural syntax
Implements core OCTAVE operators for concatenation, synthesis, and tension
Enforces strict schema validation and lossless data serialization
Provides ASCII aliases for cross-environment compatibility
Standardizes block-level indentation and envelope-based document framing
26 GitHub stars

Casos de Uso

Compressing complex system instructions to reduce LLM latency and cost
Facilitating dense multi-agent communication with high semantic precision
Generating machine-readable logs and structured data for MCP server interaction