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Create and manage a distilled 'supervisor' AI skill from advisor materials: imports notes, files, and prompts to generate Method Core, Academic Style, Persona,
Generates a comprehensive ‘supervisor’ AI skill by ingesting advisor materials (PDFs, notes, chat logs) and producing structured outputs: Method Core, Academic Style, Persona, and a Graduation Playbook. It automates normalization, versioning, file writing, and provides management commands for listing, backup, rollback, and cleanup.
Use when you want to distill a human advisor into a reusable AI Skill (for mentoring, paper feedback, milestone planning). Also use for iterating/evolving an advisor with new materials or conversational corrections.
Designed for Claude Code environments or agents that can run Read/Write/Edit/Bash tools and Python helper scripts.
A niche skill for distilling a graduate advisor's style into an AI persona. Well-structured workflow with intake, material import, four-track analysis, and file generation. Bilingual (Chinese/English) support is a nice touch. No scripts were bundled for testing, so analysis is static only. The referenced Python tools (material_normalizer, skill_writer, version_manager) couldn't be evaluated for quality or security.
No security concerns found. Skill is a structured prompt-engineering tool for academic advisor distillation. Niche but well-thought-out. Scripts referenced but not included for review.
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