Agent Skills
Academic Cv Generator
AIPOCH
Generate structured academic CVs from free-form Chinese/English text and export to Word (.docx). Use this skill when you are asked to organize, generate, or optimize an academic CV (e.g., publications/projects/awards) into a consistent, formatted document with uniform-colored section headers and optional bilingual output.
2
0
FILES
89100Total Score
View Evaluation ReportCore Capability
82 / 100
Functional Suitability
11 / 12
Reliability
10 / 12
Performance & Context
8 / 8
Agent Usability
13 / 16
Human Usability
7 / 8
Security
8 / 12
Maintainability
9 / 12
Agent-Specific
16 / 20
Medical Task
20 / 20 Passed
98You receive a messy, free-form CV draft (Chinese or English) and need it reorganized into a standard academic structure
4/4
94You are asked to compile and format Publications from raw citation strings without changing their original citation format
4/4
92Classifies free-form input into: Personal Information, Educational Background, Project Experience, Publications, Awards (optional), Skills
4/4
92Normalizes content into a required intermediate Markdown outline before rendering
4/4
92End-to-end case for Classifies free-form input into: Personal Information, Educational Background, Project Experience, Publications, Awards (optional), Skills
4/4
SKILL.md
When to Use
- You receive a messy, free-form CV draft (Chinese or English) and need it reorganized into a standard academic structure.
- You are asked to compile and format Publications from raw citation strings without changing their original citation format.
- You need to extract and normalize Education and Project Experience entries, then sort them by degree level or time.
- You must generate a Word (.docx) academic CV that matches a predefined visual style (uniform header color, bold headers, bullet lists).
- The user requests a polished CV output file with a fixed naming convention:
Name-Academic-CV.docx.
Key Features
- Classifies free-form input into: Personal Information, Educational Background, Project Experience, Publications, Awards (optional), Skills.
- Normalizes content into a required intermediate Markdown outline before rendering.
- Omits the Awards section entirely when no awards are provided.
- Infers a minimal Skills section from project descriptions when explicit skills are missing.
- Renders a Word document aligned to the reference layout
output/ZhangWei-Academic-CV.docx. - Applies consistent styling rules: single-line section titles, larger than body text, bold, and one uniform header color.
Dependencies
- Python 3.x
python-docx(install viapip install python-docx)
Example Usage
1) Prepare input (free-form text)
Create or use the provided example input file:
sample_input_standard.txt
2) Generate the Word CV
python -m pip install python-docx
python scripts/render_cv.py --input sample_input_standard.txt --output output
3) Optional flags
python scripts/render_cv.py \
--input sample_input_standard.txt \
--output output \
--lang en \
--header-color random
Supported options:
--lang zh|en--header-color purple|cyan|green|red|random
4) Expected output
- Output file:
Name-Academic-CV.docx(saved under the--outputdirectory) - Reference sample:
sample_output.docx
Implementation Details
1) End-to-end workflow
- Parse the input and classify content into:
- Personal Information
- Educational Background
- Project Experience
- Publications
- Skills
- Awards (optional)
- Convert the classified result into the required Markdown layout (mandatory intermediate step).
- If Awards is empty, omit the section from both Markdown and DOCX.
- If Skills is empty, infer skills from project experience and output a minimal skills list.
- Render the CV into Word using the same visual structure as
output/ZhangWei-Academic-CV.docx. - Ensure section titles are single-line, bold, larger than body text, and share one uniform color.
- Save as
Name-Academic-CV.docx.
2) Classification rules
- Personal Information: name, title, organization, email, phone.
- Educational Background: degree (PhD/Master/Bachelor), major, school, year; sort from highest to lowest degree.
- Project Experience: project name + time range + responsibilities/description; sort by time (most recent first).
- Publications: keep original citation strings exactly as provided (no reformatting).
- Skills: use explicit skills if present; otherwise infer from project content.
3) Required Markdown output format (intermediate representation)
The classified content must be normalized into the following Markdown outline:
Personal Information
Name|Title|Organization|Email|Phone
Educational Background
Degree, Major, School, Year
Degree, Major, School, Year
Project Experience
Project Name (Project Period): Key responsibilities or work content
Project Name (Project Period): Key responsibilities or work content
Publications
Original citation entries (keep input format)
Original citation entries (keep input format)
Awards
Year, Award
Year, Award
Skills
Programming Languages: ...
Technical Fields: ...
Tools & Technologies: ...
Rules:
- If Awards is empty, omit the entire section.
- If Skills is empty, infer and output a minimal skills list (e.g.,
Technical Fields: Blockchain / Machine Learning / Systems Development).
4) Word rendering rules
- Do not print the “Personal Information” section title in the DOCX.
- Print the name as the first line in bold.
- Print the contact line as:
Title | Organization | Email | Phone. - Section titles (Educational Background / Project Experience / Publications / Awards / Skills):
- bold
- single-line
- larger than body text
- all use one uniform color chosen from:
purple,cyan,green,red(orrandom)
- All items under each section are rendered as bullet points.
5) Output rules
- Output format must be Word (.docx).
- Output filename must be:
Name-Academic-CV.docx. - Treat “Publications / Published Literature / Published Papers” as standalone publication sections.
- The final layout should match the reference:
output/ZhangWei-Academic-CV.docx.