cv-analyze

name	cv-analyze
description	Use when the user asks to analyze a CV or resume, extract an applicant profile, review a resume, or parse a CV. Read the user's CV or resume, produce a structured research application profile, and write it to the shared memory file for reuse by other application skills.

CV Profile Analysis

Shared State

• The shared memory file is located at ../../memory.md.
• Read that file first at the beginning; if it does not exist, create a template with the same structure.
• After profile analysis is completed, rewrite the entire memory.md and set cv_profile_analyzed in the frontmatter to true.

Language Rules

• Support three output modes: zh, en, and bilingual.
• If the user's current message explicitly specifies a language, prioritize the current message.
• Otherwise read preferred_language from memory.md.
• If it is still unclear, follow the user's current conversation language.
• Section headings in memory.md should remain in a fixed English structure, while section content may be written in the selected language.

Workflow

1. Confirm the CV file path:
   • First read cv_file_path from the memory.md frontmatter.
   • If it is empty, search the current working directory with rg --files for files related to cv, CV, resume, or Resume.
   • If it still cannot be found, directly ask the user for an explicit path in Chinese.
2. Read the CV content:
   • For PDFs, first try command-line extraction such as pdftotext.
   • On macOS, fall back to textutil -convert txt -stdout.
   • If that still fails, use a Python library as a fallback extractor.
   • For DOCX files, prefer textutil, and use Python only when necessary.
3. Extract and organize the following information:
   • Educational background
   • Technical skills
   • Research-related projects and experience
   • Work / internship experience
   • Awards and honors
   • Papers / outputs
4. Based on that, provide:
   • Strengths for Applications
   • Areas for Improvement
   • Packaging Opportunities
5. Write the result back to ../../memory.md:
   • update cv_file_path
   • update cv_profile_analyzed
   • reorganize all sections cleanly, rather than only appending to the end

Output Requirements

• When reporting back to the user, prioritize:
  • the 3 strongest application strengths
  • the experience that best connects to research direction
  • 2 to 3 points that can be packaged more strongly

Constraints

• Record grades and weaknesses objectively only; do not make emotional judgments.
• Do not fabricate papers, awards, projects, or research experience.
• If the CV content is incomplete or extraction fails, first state the missing items clearly, then continue.