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Reduces token usage by ~75% by stripping filler words, articles, and pleasantries while preserving full technical accuracy. Activates on user commands like 'caveman mode' or 'be brief'.

Ensures skills are invoked before any response, including clarifying questions, and establishes how to find and use skills.

Compress natural language memory files (CLAUDE.md, todos, preferences) into a concise format to save input tokens while preserving technical substance, code, URLs, and structure.

Interviews users relentlessly about a plan or design until reaching shared understanding, resolving each branch of the decision tree.

Translates text between languages with three modes: quick, normal, and refined. Supports custom glossaries, audience targeting, and style presets.

Transforms unstructured streams of mixed thoughts, tasks, and ideas into a clean four-section actionable system with zero information loss.