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Found 7 Skills
Compress natural language memory files (CLAUDE.md, todos, settings) into "primitive human" format to reduce input tokens. Fully retain technical content, code, URLs, and structure. The compressed version overwrites the original file, and the human-readable version is saved as FILE.original.md. Trigger with `/genshijin-compress <filepath>` or requests like "memory file compression".
Ultra-compressed communication mode. Talk like a caveman to reduce token usage by about 75%. Full technical accuracy is maintained. Intensity levels: 3 tiers - Polite, Normal (default), Extreme. Activate by saying "Caveman Mode", "Shorten", "Be Concise", "Save Tokens", or using /genshijin.
Quick reference card for all genshijin modes, skills, and commands. Displayed only once, no mode changes, no state persistence. Activate with "/genshijin-help", "原始人ヘルプ", or "原始人の使い方".
Generate ultra-compact commit messages. Follows the Conventional Commits format with subject ≤50 characters, prioritizing "why" over "what". Supports both Japanese and English. Trigger with "Make a commit message", "/commit", or "/genshijin-commit". Auto-trigger candidate when staging changes.
Ultra-compressed PR review comments. One issue per line: Location • Problem • Fix. Remove preambles, prioritize signals. Supports Japanese. Trigger with "PR review please", "code review", "/review", "/genshijin-review". Candidate for automatic activation during pull request reviews.
Displays real token usage and estimated reduction amount for the current session. Reads directly from Claude Code session logs — no AI estimation. Launch with `/genshijin-stats`. The output is injected by the mode-tracker hook, and the model itself does not perform numerical calculations.
原始人スタイル subagent への委譲判断ガイド。`genshijin-investigator` (コード位置特定)、 `genshijin-builder` (1-2ファイル編集)、`genshijin-reviewer` (diff レビュー) を inline作業 or vanilla `Explore` の代わりにスポーンするタイミングを示す。subagent 出力は原始人圧縮 → 主コンテキストに戻る tool-result が約60%縮小 → 長セッション持続。 Trigger: 「subagent 委譲」「genshijin-crew 使用」「investigator/builder/reviewer 起動」「コンテキスト節約」「圧縮 agent 出力」。