academic-cv-builder▌
paramchoudhary/resumeskills · updated Apr 8, 2026
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Use this skill when the user:
Academic CV Builder
When to Use This Skill
Use this skill when the user:
- Is applying for academic positions (faculty, research, postdoc)
- Needs to create or update a curriculum vitae
- Wants to format publications, grants, and teaching experience
- Is in academia or transitioning to academic careers
- Mentions: "academic CV", "curriculum vitae", "faculty position", "research CV", "professor resume"
Core Capabilities
- Structure CVs for academic positions
- Format publications, presentations, and grants
- Organize teaching and research experience
- Include appropriate academic sections
- Tailor for different academic roles (tenure-track, postdoc, lecturer)
- Balance research, teaching, and service
Academic CV vs. Resume
| 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 |
Standard Academic CV Sections
Typical Order
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")
Section Order Varies By:
- Research position: Publications, grants, research experience first
- Teaching position: Teaching, course development first
- Administrative position: Leadership, service first
Section-by-Section Guide
1. Contact Information
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
2. Education
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:
- All degrees (in reverse chronological order)
- Dissertation/thesis title
- Advisor(s)
- Committee members (for PhD)
- Honors (cum laude, etc.)
- Relevant minors or certificates
3. Research/Academic Positions
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
4. Publications
Most Important Section for Research Positions
Formatting Options
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:
- Bold your name in author lists
- Include DOIs when available
- Note impact factors if requested/relevant
- Indicate student co-authors with asterisk*
- Some fields expect reverse chronological; others expect chronological
Categories to Consider:
- Peer-reviewed journal articles
- Books and book chapters
- Conference proceedings
- Technical reports
- Non-peer-reviewed publications
- Works under review
- Works in preparation
5. Presentations
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:
- Invited talks (keynotes, seminars)
- Conference presentations
- Campus talks
- Public lectures/outreach
6. Grants & Funding
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:
- Funding agency and mechanism
- Your role (PI, Co-PI, Co-I)
- Project title
- Dates
- Total amount (and amount to your lab if split)
7. Teaching Experience
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:
- Course number and title
- Your role (Instructor, TA, Guest Lecturer)
- Institution and dates
- Enrollment numbers
- Course development or new preparations
- Teaching evaluations summary (if strong)
8. Mentoring
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
9. Service
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
10. Professional Memberships
PROFESSIONAL MEMBERSHIPS
American Society for Cell Biology (ASCB), 2015-Present
Society for Neuroscience (SfN), 2018-Present
11. Honors & Awards
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
Role-Specific Emphasis
Tenure-Track Faculty
Emphasize:
- Publications (especially recent, high-impact)
- Grants (especially independent funding)
- Research trajectory and vision
- Teaching experience
- Mentoring record
Postdoctoral Position
Emphasize:
- Publications (from PhD and postdoc)
- Research experience and skills
- Collaboration experience
- Future research potential
- Any funding/fellowships
Lecturer/Teaching Faculty
Emphasize:
- Teaching experience (courses, evaluations)
- Course development
- Pedagogical training
- Mentoring undergraduates
- Teaching awards
Research Scientist
Emphasize:
- Publications
- Technical skills
- Grant writing experience
- Collaboration record
- Relevant research experience
Discipline-Specific Conventions
Sciences (Biology, Chemistry, Physics)
- Author order matters (first author, last author = senior)
- Impact factors sometimes included
- Numbered publication lists common
- Conference presentations less weighted than publications
Humanities (History, Literature, Philosophy)
- Single-author publications highly valued
- Book publications crucial
- Conference presentations important
- Public scholarship valued
Social Sciences
- Both solo and collaborative work valued
- Mix of journal articles and books
- Funded research important
- Policy impact valued
CV Length Guidelines
| 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.
Output Format
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]
Academic CV Checklist
- ✅ Contact information complete (including ORCID if applicable)
- ✅ Education includes all degrees, advisors, dissertations
- ✅ Publications properly formatted with your name highlighted
- ✅ All grants listed with amounts and your role
- ✅ Teaching experience comprehensive
- ✅ Service documented
- ✅ Consistent formatting throughout
- ✅ Reverse chronological order (usually)
- ✅ No unexplained gaps
- ✅ Updated within last 6 months
How to use academic-cv-builder on Cursor
AI-first code editor with Composer
Prerequisites
Before installing skills in Cursor, ensure your development environment meets these requirements:
- ›Cursor installed and configured on your development machine
- ›Node.js version 16.0+ with npm package manager (verify with
node --version) - ›Active project directory or workspace where you want to add academic-cv-builder
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches academic-cv-builder from GitHub repository paramchoudhary/resumeskills and configures it for Cursor.
Select Cursor when prompted
The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:
Verify installation
Confirm successful installation by checking the skill directory location:
Reload or restart Cursor to activate academic-cv-builder. Access the skill through slash commands (e.g., /academic-cv-builder) or your agent's skill management interface.
Security & Verification Notice
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 development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.
List & Monetize Your Skill
Submit your Claude Code skill and start earning
Use Cases▌
Task Automation & Efficiency
Automate repetitive workflows and reduce manual effort
Example
Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Knowledge Enhancement
Learn new skills, understand complex topics, get expert guidance
Example
Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Quality Improvement
Enhance output quality through reviews, suggestions, and refinements
Example
Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client with skill support
- ›Clear understanding of task or problem to solve
- ›Willingness to iterate and refine outputs
Time Estimate
15-45 minutes depending on use case complexity
Installation Steps
- 1.Install skill using provided installation command
- 2.Test with simple use case relevant to your work
- 3.Evaluate output quality and relevance
- 4.Iterate on prompts to improve results
- 5.Integrate into regular workflow if valuable
Common Pitfalls
- ⚠Expecting perfect results without iteration
- ⚠Not providing enough context in prompts
- ⚠Using skill for tasks outside its intended scope
- ⚠Accepting outputs without review and validation
Best Practices▌
✓ Do
- +Start with clear, specific prompts
- +Provide relevant context and constraints
- +Review and refine all outputs before using
- +Iterate to improve output quality
- +Document successful prompt patterns
✗ Don't
- −Don't use without understanding skill limitations
- −Don't skip validation of outputs
- −Don't share sensitive information in prompts
- −Don't expect skill to replace human judgment
💡 Pro Tips
- ★Be specific about desired format and style
- ★Ask for multiple options to choose from
- ★Request explanations to understand reasoning
- ★Combine AI efficiency with human expertise
When to Use This▌
✓ 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.
Learning Path▌
- 1Familiarize yourself with skill capabilities and limitations
- 2Start with low-risk, non-critical tasks
- 3Progress to more complex and valuable use cases
- 4Build expertise through regular use and experimentation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.5★★★★★42 reviews- ★★★★★Isabella Liu· Dec 12, 2024
Registry listing for academic-cv-builder matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Shikha Mishra· Dec 4, 2024
academic-cv-builder reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Yash Thakker· Nov 23, 2024
I recommend academic-cv-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Kaira Wang· Nov 15, 2024
We added academic-cv-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Mateo White· Nov 3, 2024
Useful defaults in academic-cv-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Aarav Tandon· Oct 22, 2024
I recommend academic-cv-builder for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Dhruvi Jain· Oct 14, 2024
Useful defaults in academic-cv-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Kiara Wang· Oct 6, 2024
academic-cv-builder fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yuki Ndlovu· Sep 25, 2024
Useful defaults in academic-cv-builder — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan Smith· Sep 17, 2024
We added academic-cv-builder from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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