Use this skill when the user:
Works with
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionacademic-cv-builderExecute the skills CLI command in your project's root directory to begin installation:
Fetches academic-cv-builder from paramchoudhary/resumeskills and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate academic-cv-builder. Access via /academic-cv-builder in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
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Use this skill when the user:
| Resume | Academic CV |
|---|---|
| 1-2 pages | 2-20+ pages (length increases with career) |
| Highlights relevant experience | Comprehensive record |
| Results-focused | Scholarship-focused |
| Industry keywords | Disciplinary expertise |
| Skills section prominent | Publications prominent |
| Education minimal | Education detailed |
1. Contact Information
2. Education
3. Research/Academic Positions
4. Publications
5. Presentations
6. Grants & Funding
7. Teaching Experience
8. Mentoring
9. Service
10. Professional Memberships
11. Honors & Awards
12. References (or "Available upon request")
FIRST MIDDLE LAST, Ph.D.
Department of [Field]
[University Name]
[Building, Room Number]
[City, State ZIP]
Email: [email protected]
Phone: (555) 123-4567
Web: www.yoursite.edu
ORCID: 0000-0000-0000-0000
Format: Degree, Field, Institution, Year
EDUCATION
Ph.D. in Molecular Biology, Stanford University, 2019
Dissertation: "Title of Your Dissertation"
Advisor: Dr. Jane Smith
Committee: Dr. A, Dr. B, Dr. C
M.S. in Biology, UC Berkeley, 2015
B.S. in Biochemistry, UCLA, 2013
Summa Cum Laude
Include:
ACADEMIC APPOINTMENTS
Assistant Professor of Biology, University of Michigan, 2022-Present
Department of Molecular, Cellular, and Developmental Biology
Postdoctoral Fellow, MIT, 2019-2022
Advisor: Dr. John Doe
Lab: Computational Biology Lab
Graduate Research Assistant, Stanford University, 2014-2019
Advisor: Dr. Jane Smith
Most Important Section for Research Positions
Option 1: Numbered List (Common in Sciences)
PUBLICATIONS
Peer-Reviewed Journal Articles
15. Last, F.M., Co-Author, A.B., & Senior, C.D. (2023). Article title. Journal Name, 45(2), 123-145. doi:10.1000/xyz
14. Last, F.M., & Co-Author, A.B. (2022). Article title. Journal Name, 44(1), 10-25. doi:10.1000/abc
Option 2: Categories (Useful for Multiple Types)
PUBLICATIONS
Peer-Reviewed Journal Articles (15)
Book Chapters (3)
Books (1)
Under Review (2)
In Preparation (3)
Formatting Details:
Categories to Consider:
PRESENTATIONS
Invited Talks
"Talk Title," Conference Name, Location, Date.
"Talk Title," Department Seminar, University Name, Date.
Conference Presentations
"Poster/Talk Title," Conference Name, Location, Date. [Poster/Oral]
Categorize By:
GRANTS AND FUNDING
Awarded
NIH R01 (Co-PI), "Project Title," 2023-2028, $2.5M total ($500K to my lab)
NSF CAREER Award (PI), "Project Title," 2022-2027, $650,000
Internal Grant (PI), "Project Title," 2021, $25,000
Pending
NIH R21 (PI), "Project Title," submitted January 2024
Not Funded (Optional)
[Some fields expect you to list unfunded submissions]
Include:
TEACHING EXPERIENCE
Courses Taught
BIOL 301: Molecular Biology (Instructor of Record)
University of Michigan, Fall 2022, Fall 2023
Enrollment: 45 students
Developed new course curriculum
BIOL 101: Introduction to Biology (Lab Instructor)
Stanford University, 2015-2018
Guest Lectures
"Topic," Course Name, Professor's Name, University, Date
Include:
MENTORING
Graduate Students
- Student Name (Ph.D. expected 2025), Dissertation: "Title"
- Student Name (Ph.D. 2023), Current position: Postdoc at MIT
Postdoctoral Fellows
- Name (2021-2023), Current position: Assistant Professor at X
Undergraduate Researchers
- Name (2022-2023), Thesis: "Title," Current: PhD program at Y
- Name (2021-2022), Thesis: "Title," Current: Industry position
SERVICE
To the Profession
- Editorial Board Member, Journal Name, 2022-Present
- Grant Reviewer, NIH Study Section XYZ, 2023
- Conference Organizer, Conference Name, 2022
To the University
- Graduate Admissions Committee, 2022-Present
- Faculty Search Committee, 2023
- Curriculum Committee, 2022-2023
To the Department
- Seminar Coordinator, 2022-Present
- Undergraduate Advisor, 2022-Present
PROFESSIONAL MEMBERSHIPS
American Society for Cell Biology (ASCB), 2015-Present
Society for Neuroscience (SfN), 2018-Present
HONORS AND AWARDS
NSF CAREER Award, 2022
Best Paper Award, Conference Name, 2021
Outstanding Graduate Student Award, Stanford University, 2018
National Science Foundation Graduate Research Fellowship, 2015-2018
Phi Beta Kappa, 2013
Emphasize:
Emphasize:
Emphasize:
Emphasize:
| Career Stage | Expected Length |
|---|---|
| Graduate Student | 2-4 pages |
| Postdoc | 3-6 pages |
| Early Career Faculty | 5-10 pages |
| Mid-Career Faculty | 10-20 pages |
| Senior Faculty | 15-30+ pages |
Rule: Your CV grows throughout your career. Don't pad, but don't artificially constrain length.
When creating an academic CV:
# ACADEMIC CV STRUCTURE FOR [NAME]
## Recommended Section Order
[Based on position type and field]
1. [Section]
2. [Section]
...
## Section Content
### Education
[Formatted education section]
### Publications
[Formatted with appropriate style for field]
### [Other Sections]
[Formatted content]
---
## Formatting Notes
- [Field-specific conventions to follow]
- [Style guide recommendations]
## Things to Add/Update
- [ ] [Missing item]
- [ ] [Item needing update]
Prerequisites
Time Estimate
15-45 minutes depending on use case complexity
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.
✗ Avoid when
Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.
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Registry listing for academic-cv-builder matched our evaluation — installs cleanly and behaves as described in the markdown.
academic-cv-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.
I recommend academic-cv-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
We added academic-cv-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Useful defaults in academic-cv-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
I recommend academic-cv-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Useful defaults in academic-cv-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
academic-cv-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Useful defaults in academic-cv-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
We added academic-cv-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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