kgraph57

Use when turning any content into clear, professional visualizations - board slides, reports, proposals, research summaries, training materials, technical diagrams, infographics, process flows, timelines, benchmarks, waterfall charts, or data-backed visual specs for any audience.

Medical/scientific paper writing workflow skill. Manages the full pipeline from literature search to submission-ready manuscript. Creates and manages a project directory with IMRAD-format section files, literature matrix, reference management, and quality checklists. Supports both English and Japanese papers. Triggers: 'write paper', 'paper-write', 'start manuscript', '論文を書く', '論文執筆', '論文プロジェクト', 'manuscript', 'research paper', '原稿作成'.

Use when the user asks to audit, diagnose, or health-check their Claude Code setup, wonders where their context/tokens go, or invokes /doctor. Runs a read-only audit across 10 domains (directory structure, dev repos, CLAUDE.md hierarchy, settings & permissions, skills, commands, subagents, MCP & plugins, automations & git, usage & disk) with parallel subagents, triages findings on an impact-x-effort matrix, and renders an HTML dashboard with A-E grades, red flags and a paste-ready action plan. Zero changes until the user approves each fix. Triggers: '/doctor', 'audit my claude code setup', 'setup audit', 'health check my setup', 'claude code doctor', '環境監査', 'セットアップ監査', 'Claude Code健康診断', '設定を診断して'

Comprehensive medical fact-checking and critical appraisal skill. Evaluates any medical content — research papers, articles, social media posts, newsletters, YouTube/podcast transcripts, conference slides, clinical guidelines, pharma marketing, patient leaflets, health app content, and more — across 15 criteria for accuracy, evidence quality, and appropriateness. Generates a structured Markdown report with an A–F score and actionable improvement suggestions. Triggers: 'fact-check', 'evidence check', 'evaluate this article', 'check this post', 'ファクトチェック', 'エビデンスチェック', 'この記事を評価して', 'この投稿の問題点'.

Create sophisticated, editorial-style data visualizations and infographics in the signature style of the Harvard Business Review (HBR). Use when developing presentations for academic or executive audiences, creating figures for research papers or business articles, designing strategic frameworks and conceptual models, visualizing data for managerial reports, or communicating complex business insights with an authoritative, editorial tone.

Multilingual AI-writing deodorizer. Auto-detects language (English / Japanese) and rewrites text to remove telltale LLM patterns — inflated significance, promotional tone, hedging, sycophancy, em-dash overuse, rule-of-three, AI vocabulary, and more. Based on Wikipedia's "Signs of AI writing" guide and its Japanese-adapted counterpart covering 30 JP-specific patterns. Triggers: 'humanize', 'akanuke', '/akanuke', 'AI臭を消して', '人間っぽくして', 'リライトして'.

AIっぽい日本語を人間らしい文章に書き直すスキル。記号過多、単調なリズム、説明書口調、事なかれ主義、抽象語の空回り、変な比喩の6パターンを検出し、意味を変えずに自然な日本語へ全面リライトする。トリガー: 'humanize-ja', 'ヒューマナイズ', 'AI臭を消して', '人間っぽくして', '文章を崩して', 'リライトして', 'AI感をなくして'.