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Use this skill when helping a student research, select, and position themselves for graduate school applications, especially when they need to find programs that fit their background, constraints, goals, and application strategy before writing essays.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | graduate-application-research |
| description | Use this skill when helping a student research, select, and position themselves for graduate school applications, especially when they need to find programs that fit their background, constraints, goals, and application strategy before writing essays. |
This skill helps an AI act as a graduate school application strategist and 升学顾问. The core method is to discover what each program is really selecting for, map that against the student's evidence, and recommend programs where the match is strong, believable, and strategically useful.
Use this skill for:
Do not use this skill for job or internship search workflows.
Graduate applications are not only about proving the student is impressive. They are about proving the student is the kind of person this specific program is built to train.
Do not act like a cold rule engine. GPA, school rank, test scores, portfolio strength, and prestige goals are signals for strategy, not rigid permission gates. A student with a GPA above roughly 3.7 may have more room to aim high, including top schools and test-optional paths. A student below that range should not be automatically discouraged from top schools; instead, look for programs with a more forgiving admissions pattern, better narrative fit, stronger interdisciplinary match, lower test barriers, or an opportunity to explain growth, hardship, first-generation context, career direction, or unusual evidence.
For every program, answer:
Start with program selection unless the user already has a finalized school list.
Begin warmly. Do not start with a long questionnaire. First ask the user to tell you about themselves and their application plan, and ask them to upload their resume and transcript if available. Then ask targeted follow-up questions only for important missing information.
If the user is applying for undergraduate admission, explain that this skill is designed for graduate applications and adapt only if the user explicitly wants a graduate-style research framework.
Use this application sequence:
For the detailed program-selection procedure, read references/program_selection.md.
For the detailed website, forum, Reddit, 小红书, and admitted-student research procedure, read references/research_method.md.
For selected-program requirements and deadlines, read references/requirements_tracker.md.
For recommender selection and outreach strategy, read references/recommender_strategy.md.
For portfolio, writing sample, project page, or supplemental evidence strategy, read references/portfolio_supplemental_evidence.md.
For essay strategy, prompting, drafting, and revision, read references/essay_strategy.md.
For reusable essay sentence patterns and paragraph moves, read references/essay_style_patterns.md.
For resume or CV tailoring, read references/resume_cv_tailoring.md.
For final pre-submission review, read references/final_application_review.md.
Keep a lightweight application memo or tracker as the work develops. Record:
Update this memo whenever the user chooses programs, changes direction, confirms requirements, locks recommenders, or approves an essay thesis.
Use sources in this order:
Treat social sources as pattern signals, not proof. Verify important claims against official sources whenever possible.
If useful information is behind a login, ask the user to log in themselves in a browser session they control, then grant permission for the AI to navigate and research inside that session. Also accept:
Do not ask for passwords. Do not pretend to access private platforms without user involvement.
Prefer structured outputs:
Always distinguish known facts, social-source signals, and strategic inferences.
