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Job-Hunter-Linkedin-Skill-H…/skills/resume-architect.md
admin 2abc5dbf7e Expand to Career Arsenal: 8 AI-powered career skills collection
- Restructured repo from single skill to skills collection
- Added 7 new skills: Resume Architect, Cover Letter Craft,
  Interview Commander, Salary Negotiator, Career GPS,
  LinkedIn Optimizer, Job Switch Advisor
- Rewrote README as collection hub with pipeline diagram,
  integration map, and usage-by-stage guides

Co-Authored-By: Claude Opus 4.7 <noreply@anthropic.com>
2026-04-21 12:08:32 +00:00

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# Resume Architect
**Generate ATS-optimized, role-targeted resumes from your career data.**
One resume does not fit all. This skill builds a tailored resume for every application.
## Philosophy
Your resume has one job: get past the ATS scanner and into a human's hands. Most resumes fail at step one because they're generic, keyword-poor, and formatted for aesthetics over parseability.
Resume Architect treats your resume like a **conversion funnel**:
1. **ATS Parse** — Machine-readable format that scanners love
2. **Keyword Match** — Language pulled directly from the job post
3. **Impact First** — Quantified achievements, not responsibilities
4. **Scan Hook** — Top 6 seconds tell the whole story
## Input Required
Before running, gather:
- Your current resume or career notes (any format)
- The target job posting (URL or pasted text)
- Your LinkedIn profile (optional but recommended)
- Any portfolio/GitHub/project links
## Workflow
### Phase 1: Job Post Reverse Engineering
```
Extract from job posting:
- Required skills (hard skills with versions)
- Preferred skills (bonus points)
- Required experience (years, domains)
- Key responsibilities (action verbs used)
- Company language/style (formal, casual, startup)
- Implicit needs (read between lines)
```
**Output:** Job fingerprint — a structured list of keywords, competencies, and signals.
### Phase 2: Career Data Extraction
From your raw materials, extract:
```
For each role:
- Company, title, dates
- Technologies used (with versions)
- Quantified achievements (X% improvement, $Y revenue, Z users)
- Scope (team size, budget, user base)
- Promotions or expanded responsibilities
```
### Phase 3: Resume Assembly
**Structure (ATS-friendly, single-column):**
```
[Full Name]
[City, State] | [Phone] | [Email] | [LinkedIn] | [GitHub/Portfolio]
PROFESSIONAL SUMMARY
2-3 lines. Mirror their language. Lead with years of experience in [their domain].
SKILLS
Grouped by category. Keywords from job post first.
Languages: [their stack first, then yours]
Frameworks: [matched to their needs]
Tools: [relevant only]
Platforms: [cloud, infra matching their stack]
EXPERIENCE
[Most Recent Company] | [Title] | [Dates]
- Achievement with metric matching their stated need
- Achievement with metric matching their stated need
- Achievement showing scope they care about
(3-5 bullets, never responsibilities without outcomes)
[Previous Company] | [Title] | [Dates]
- Same format, prioritize relevance over chronology
EDUCATION
[Degree] | [School] | [Year]
- Only include GPA if 3.7+ and recent grad
- Relevant coursework ONLY if career changer or junior
CERTIFICATIONS
- Only include if relevant to THIS role
```
### Phase 4: Keyword Optimization
```
Compare resume keywords vs job post keywords:
Job requires: Resume has:
React 18 React (update to "React 18")
AWS ✅
CI/CD GitHub Actions (add "CI/CD")
Microservices ✅
PostgreSQL MySQL (add PostgreSQL if applicable)
Fill gaps honestly. Never fabricate — use "familiar with" or "exposure to" for weaker skills.
```
### Phase 5: ATS Compliance Check
Verify:
- [ ] Single-column layout
- [ ] Standard section headers (Experience, Education, Skills)
- [ ] No tables, headers/footers, or text boxes
- [ ] Standard fonts (Arial, Calibri, Georgia)
- [ ] No images or graphics
- [ ] Date format consistent (MMM YYYY MMM YYYY)
- [ ] File saved as .docx or .pdf (check job post preference)
- [ ] Under 2 pages (under 1 page for < 5 years experience)
## Templates
### Entry-Level (0-2 years)
```
[Name] | [Location] | [Contact]
PROFESSIONAL SUMMARY
Motivated [Role] with [X] years of experience in [domain].
Built [project] serving [metric]. Strong foundation in [their stack].
TECHNICAL SKILLS
Languages: [job post languages]
Frameworks: [job post frameworks]
Tools: [matching tools]
PROJECTS
[Project Name] | [Tech Stack]
- Built [what] achieving [metric]
- Implemented [feature] using [tech]
- [GitHub link]
EXPERIENCE
[Company] | [Title] | [Dates]
- Achievement with number
- Achievement with number
EDUCATION
[Degree] | [School] | [Year]
```
### Mid-Level (3-7 years)
```
[Name] | [Location] | [Contact]
PROFESSIONAL SUMMARY
[Role] with [X] years building [domain] systems.
Led [scope] delivering [impact]. Expert in [their core stack].
SKILLS
[Grouped, job-post keywords first]
EXPERIENCE
[Company] | [Title] | [Dates]
- Impact metric matching their need
- Technical depth showing seniority
- Leadership/collaboration signal
- Scope of responsibility
[Previous Company] | [Title] | [Dates]
- Relevant achievements
EDUCATION
[Degree] | [School]
```
### Senior/Staff (8+ years)
```
[Name] | [Location] | [Contact]
PROFESSIONAL SUMMARY
Senior [Role] with [X]+ years driving [domain] strategy.
Scaled [system] to [metric]. Built and led teams of [size].
Deep expertise in [their domain].
SKILLS
[Strategic + technical keywords from job post]
EXPERIENCE
[Company] | [Senior Title] | [Dates]
- Strategic impact (org-level metric)
- Technical leadership (architecture decisions)
- Team building (mentoring, hiring, growing)
- Cross-functional collaboration
[Previous roles — 2-3 bullets each, decreasing detail]
NOTABLE ACHIEVEMENTS (optional section for staff+)
- [Portfolio of impact across roles]
EDUCATION
[Degree] | [School]
```
## Career Changer Mode
For switching industries:
1. Lead with **transferable skills** in summary
2. Create a **Relevant Projects** section above experience
3. Reframe past roles using target industry language
4. Include certifications/coursework showing commitment
5. Objective statement explaining the pivot
## Output Formats
- **Markdown** — For review and editing
- **LaTeX** — For academic/scientific roles
- **PDF** — Final output via nano-pdf skill
- **JSON** — Structured data for programmatic use
## Integration with Other Skills
- **nano-pdf**: Generate final formatted PDF
- **jobhunter-master**: Receives job post data for keyword matching
- **cover-letter-craft**: Uses same job fingerprint for consistency
## Files
- `memory/resume-base.md` — Your master career data
- `memory/resumes/[company]-[role].md` — Per-application versions