Compress text content for AI consumption by applying defined rules to reduce token count.
npx skills add https://github.com/luan/dot-claude --skill compress-prompt-luan
Please help me install this Agent Skill. Skill: compress-prompt Source: https://github.com/luan/dot-claude/tree/main/skills/compress-prompt Command: npx skills add https://github.com/luan/dot-claude --skill compress-prompt-luan
This Skill reduces the token count of text intended for AI consumption, making prompts more efficient and cost-effective.
Use the compress-prompt skill to shorten the text in the file named 'agent-instructions.md'.
High-intent search queries and answers about installing and using this skill.
To reduce token count for AI consumption, compress the text by applying defined rules that shorten agent instructions and skill files. This process shrinks AI prompts to fit model token limits while preserving essential elements like YAML frontmatter, commands, and code blocks.
The best way to compress agent instructions is by using a subagent with a 'haiku' model that applies targeted compression rules. This specifically preserves YAML frontmatter, commands, and code blocks while shortening surrounding text to reduce overall token count.
Yes, prompt compression preserves YAML frontmatter, commands, and code blocks. The compression targets only the surrounding text and non-essential elements to ensure the compressed output retains all functional keywords and structural data required for AI execution.
To compress a skill file for faster loading, pass the file to the compression utility, which processes the text content using a 'haiku' model subagent. It writes the compressed output directly to a file, reducing the size of the skill file while maintaining its core instructions.
Yes, you need tiktoken as a dependency to shorten text for AI efficiency. The tiktoken library enables the subagent to accurately process and compress the prompt files by evaluating and reducing the token count before writing the final compressed output.
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