Format CVs for academic positions with publications, grants, and teaching
The English summary is being prepared. Showing the original description.
Track different resume versions, maintain master resume, manage tailored versions
The English summary is being prepared. Showing the original description.
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Use this skill when the user:
Common Pain Points:
The Solution: A systematic approach with:
A comprehensive document containing:
Purpose: Source of truth to pull from when tailoring
# MASTER RESUME - [YOUR NAME]
Last Updated: [Date]
## CONTACT INFORMATION
[Full contact details]
## PROFESSIONAL SUMMARY VERSIONS
[Summary for Role Type A]
[Summary for Role Type B]
[Summary for Role Type C]
## ALL SKILLS
### Technical Skills
[Complete list by category]
### Soft Skills
[Complete list]
### Industry Knowledge
[All domains]
## PROFESSIONAL EXPERIENCE
### Company Name | Title | Dates
**All Bullets (choose best for each application):**
• Bullet 1 (leadership focused)
• Bullet 2 (technical focused)
• Bullet 3 (results focused)
• Bullet 4 (collaboration focused)
• Bullet 5 (additional achievement)
• Bullet 6 (additional achievement)
**Keywords this experience covers:**
[List of keywords this job demonstrates]
### Previous Company | Title | Dates
[Same format...]
## EDUCATION
[Complete education history]
## CERTIFICATIONS
[All certifications ever earned]
## PROJECTS
[All notable projects]
## VOLUNTEER / ADDITIONAL
[All other relevant experience]
Resume/
├── Master/
│ └── LastName_Master_Resume.docx
├── Tailored/
│ ├── ProductManagement/
│ │ ├── LastName_PM_Google_Jan2024.pdf
│ │ └── LastName_PM_Meta_Jan2024.pdf
│ ├── Engineering/
│ │ ├── LastName_SWE_Startup_Feb2024.pdf
│ │ └── LastName_SWE_Enterprise_Feb2024.pdf
│ └── General/
│ └── LastName_General_Resume.pdf
├── CoverLetters/
│ ├── Google_PM_CoverLetter.docx
│ └── Meta_PM_CoverLetter.docx
└── Applications/
└── ApplicationTracker.xlsx
Pattern:
[LastName]_[Role/Type]_[Company]_[Date].pdf
Examples:
Smith_ProductManager_Google_Jan2024.pdfSmith_SWE_Stripe_Feb2024.pdfSmith_DataScience_General_2024.pdfSmith_Master_Resume_v3.docxProduct Management:
Software Engineering:
Data Science:
Tech/Startup:
Enterprise/Corporate:
Finance:
Individual Contributor:
Manager:
Executive:
| Company | Role | Version Used | Date Applied | Status | Notes |
|---------|------|--------------|--------------|--------|-------|
| Google | PM | PM_Google_Jan | 1/15/24 | Interview | 2nd round 2/1 |
| Meta | PM | PM_Meta_Jan | 1/18/24 | Applied | Referral from John |
| Startup | PM | PM_General | 1/20/24 | Rejected | Too senior |
Immediately Update For:
Quarterly Review:
1. Start with Master Resume
↓
2. Copy to new file (don't edit master)
↓
3. Analyze job description
↓
4. Select relevant bullets from master
↓
5. Choose appropriate summary version
↓
6. Reorder skills for relevance
↓
7. Add job-specific keywords
↓
8. Trim to appropriate length
↓
9. Save with proper naming convention
↓
10. Update application tracker
Strategy:
Strategy:
Strategy:
Strategy:
When managing resume versions:
# RESUME VERSION MANAGEMENT
## Master Resume Status
**Last Updated:** [Date]
**Location:** [File path]
**Total Experience Entries:** [X]
**Total Bullet Points Available:** [X]
## Active Versions
### Role Type: Product Management
**Base Version:** PM_General_2024.docx
**Tailored Versions:**
| Company | File Name | Date Created | Status |
|---------|-----------|--------------|--------|
| Google | PM_Google_Jan24 | 1/15/24 | Submitted |
| Meta | PM_Meta_Jan24 | 1/18/24 | Submitted |
### Role Type: Engineering
[Same structure]
## Update Queue
- [ ] Add Q4 project results to master
- [ ] Update skills with new certification
- [ ] Archive versions older than 6 months
## Recommended Actions
1. [Action 1]
2. [Action 2]
Turn your application history into a data-driven optimizer. After 5+ applications, patterns emerge: which bullets get you interviews, which projects resonate at startups vs. enterprise, which JD match scores actually correlate with callbacks.
Track every application using this table:
## Application Outcome Log
| Date | Company | Role | Resume Version | JD Match % | Outcome | Days to Response | Notes |
|---|---|---|---|---|---|---|---|
| 2026-08 | rtCamp | SWE | v3-rtcamp | 87% | Phone Screen | 5 | GitHub profile mentioned |
| 2026-08 | Darwinbox | SWE | v2-darwinbox | 74% | OA Invite | 3 | |
| 2026-08 | Amazon | SWE | v4-amazon | 91% | Rejected | 14 | No response to OA |
| 2026-08 | Atlassian | SWE | v3-atlassian | 82% | Interview | 7 | API design bullets noted |
| 2026-08 | PhonePe | SWE | v2-phonePe | 78% | No Response | 21 | |
Outcome codes:
Phone Screen — recruiter reached outOA Invite — online assessment sentInterview — technical interview scheduledRejected — explicit rejection receivedNo Response — no contact after 3+ weeks (assume rejected)Offer — offer receivedAsk Claude to analyze your outcome log with these prompts:
1. Bullet Correlation
"Looking at my outcome log, which bullets appeared in resumes that got interviews vs. rejections? Which projects correlated with callbacks?"
2. JD Match Threshold
"What's the minimum JD match % in my log that still resulted in an OA or interview? Is there a clear threshold?"
3. Company Type Pattern
"Do my startup applications perform better or worse than enterprise applications? Which resume version sections seem to matter most for each?"
4. Response Time Analysis
"Which applications got the fastest responses? What did those resume versions have in common?"
5. Version Performance
"Which resume version (by version name) has the best interview-to-application ratio? What changed between the weaker and stronger versions?"
After every 5 applications:
Analyze outcome log
│
▼
Identify lowest-performing bullets/projects
│
▼
Check evidence database: are those bullets well-grounded?
│
▼
Rewrite or replace weak evidence
│
▼
Update master resume
│
▼
Generate new tailored versions from updated master
Include outcome in the version archive once known:
resumes/
├── master/
│ └── master-resume-2026-08.md
├── versions/
│ ├── v3-rtcamp-2026-08-[phone-screen].pdf ← outcome appended
│ ├── v2-darwinbox-2026-08-[oa].pdf
│ ├── v4-amazon-2026-08-[rejected].pdf
│ └── v3-atlassian-2026-08-[interview].pdf
└── outcome-log.md
This naming convention makes pattern analysis trivial — you can grep for [interview] or [rejected] to compare versions instantly.
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Format CVs for academic positions with publications, grants, and teaching
The English summary is being prepared. Showing the original description.
Decides whether to apply to a specific role, with what level of effort, and with which resume variant. Prevents wasted applications on roles with fundamentally poor fit and prioritizes high-probability opportunities.
The English summary is being prepared. Showing the original description.
Decide how to prioritize job applications using hard eligibility, evidence coverage, role alignment, and real application outcomes rather than arbitrary fit scores.
The English summary is being prepared. Showing the original description.
Define a clear primary role identity and supporting evidence so a resume reads coherently for the target job.
The English summary is being prepared. Showing the original description.
Determines the candidate's primary role identity before any JD analysis. Classifies into role families, selects core tech identity, ranks projects by role relevance, and outputs a Candidate Position Brief consumed by all downstream stages. This is Phase -1 of the pipeline.
The English summary is being prepared. Showing the original description.
Translate skills from one industry to another, identify transferable skills
The English summary is being prepared. Showing the original description.