add-token-efficiency

To reduce token consumption, apply mandatory compression patterns that minify JSON, use Markdown lists, and employ glob patterns. This enforces strict formatting rules for AI resource generation to minimize text while preserving clarity.

Prompt compression is the practice of minifying JSON, using Markdown lists, and avoiding decorative formatting to optimize AI resources. It reduces token consumption and processing costs while preserving clarity for commands and documentation.

Yes, you can use glob patterns for paths and predefined abbreviations to minimize token usage. The token efficiency guidelines enforce these specific formatting rules to compress commands, skills, and documentation effectively.

The best way to format JSON specifications is through mandatory minification. By enforcing strict compression patterns, you eliminate decorative formatting and minimize text sent to AI models, directly reducing costs and improving processing speed.

Token efficiency does not sacrifice clarity. The compression patterns are designed to minimize token consumption while preserving clarity, ensuring that commands, skills, and documentation remain understandable despite strict formatting constraints.

You should apply token compression patterns when creating new commands, skills, or documentation. This ensures descriptions and associated data are formatted in the most token-efficient way possible, reducing costs across any AI resource generation.