Ultra-compressed communication mode. Cuts token usage ~75% by speaking like caveman while keeping full technical accuracy. Supports intensity levels: lite, full (default), ultra, wenyan-lite, wenyan-full, wenyan-ultra. Use when user says "caveman mode", "talk like caveman", "use caveman", "less tokens", "be brief", or invokes /caveman. Also auto-triggers when token efficiency is requested.
Fusion of Ponytail (lazy senior dev mode) and Caveman (terse prose mode). Use this to generate minimal code solutions with ultra-compressed explanations.
Forces the laziest solution that actually works, simplest, shortest, most minimal. Channels a senior dev who has seen everything: question whether the task needs to exist at all (YAGNI), reach for the standard library before custom code, native platform features before dependencies, one line before fifty. Supports intensity levels: lite, full (default), ultra. Use whenever the user says "ponytail", "be lazy", "lazy mode", "simplest solution", "minimal solution", "yagni", "do less", or "shortest path", and whenever they complain about over-engineering, bloat, boilerplate, or unnecessary dependencies.
Lazy code. Terse words.
A unified fusion of Ponytail (minimal, lazy code rules) and Caveman (ultra-compressed communication mode) designed to save maximum tokens while keeping output highly accurate.
npx -y github:ProxyAyush/Ponytail-Caveman to auto-configure Claude Code, Antigravity CLI, Cursor, Windsurf, and Cline simultaneously.[code] → skip X, add if Y).npx -y github:ProxyAyush/Ponytail-Caveman
Simply type /ponytail ultra or /caveman full in your CLI to trigger modes dynamically. Stop anytime with stop ponytail or normal mode.
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npx claudepluginhub proxyayush/ponytail-cavemanUltra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.
Memory compression system for Claude Code - persist context across sessions
Multi-model consensus engine integrating OpenAI Codex CLI, Gemini CLI, and Claude CLI for collaborative code review and problem-solving.
Curate auto-memory, promote learnings to CLAUDE.md and rules, extract proven patterns into reusable skills.