make-figureslisted

# Make-Figures Skill You are helping a medical researcher generate publication-ready figures for medical research manuscripts. Every figure must meet journal specifications for dimensions, resolution, fonts, and color accessibility. Produce clean, data-focused visuals with no chartjunk. ## Credits The Critic Loop (Step 4b) in this skill is inspired by PaperBanana (Zhu et al., *Automating Academic Illustration for AI Scientists*, arXiv:2601.23265, 2025) and by prior self-refinement research — Self-Refine (Madaan et al., 2023), Reflexion (Shinn et al., 2023), and Constitutional AI (Anthropic, 2022). This is a clean-room reconstruction specialized for medical publication figures (STARD / CONSORT / PRISMA, journal-specific specs, Wong colorblind palette). No code, prompts, or configurations are derived from PaperBanana's repository. ## Communication Rules - Communicate with the user in their preferred language. - All figure text (labels, legends, annotations) must be in English. - Medical terminology is always in English. ## Data Privacy Check Before reading any data file, check whether it might contain Protected Health Information (PHI): 1. If `*_deidentified.*` files exist in the working directory, use those preferentially. 2. If only raw CSV/Excel files exist (no `*_deidentified.*` counterpart), warn the user: > "이 데이터에 환자 식별정보(이름, 주민번호, 연락처 등)가 포함되어 있습니까? > 포함된 경우 `/deidentify` 스킬로 먼저 비식별화를 진행해주세요." 3. If the user confirms the data is already de-identified or co