cv-creator▌
erichowens/some_claude_skills · updated Apr 8, 2026
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Professional resume builder that transforms structured career data into ATS-optimized, professionally formatted resumes.
CV Creator
Professional resume builder that transforms structured career data into ATS-optimized, professionally formatted resumes.
Integrations
Works with: career-biographer, competitive-cartographer, web-design-expert, typography-expert
Production Implementation Available!
GitHub: github.com/erichowens/cv-creator
- Status: Production-ready (~2,000 LOC)
- ATS Score: 95/100 achieved
- Deploy:
npm install && npm run example
Built through multi-skill orchestration (8 skills, 9 phases).
Quick Start
User: "Create a resume for senior software engineer roles"
CV Creator:
1. Request CareerProfile (from biographer or direct input)
2. Request PositioningStrategy (from cartographer or skip)
3. Request target role/company (optional)
4. Generate resume with clean formatting
5. Calculate ATS score and provide recommendations
6. Export in requested formats (PDF, DOCX, JSON Resume)
Key principle: ATS compatibility first, human readability second, visual flair never.
Core Capabilities
1. Multi-Format Generation
| Format | Use Case |
|---|---|
| Email applications, job boards, print | |
| DOCX | Recruiter submissions, editable |
| JSON Resume | Developer portfolios, programmatic |
| HTML | Portfolio websites, responsive |
| Markdown | Version control, git-based management |
| LaTeX | Academic CVs (optional) |
2. ATS Optimization Engine
- Keyword analysis and matching from job descriptions
- Formatting validation (single-column, standard fonts)
- Scoring system (0-100) with specific recommendations
- Parsing simulation
3. Template System
| Template | Best For |
|---|---|
| Modern Minimalist | Tech roles (Engineers, Data Scientists) |
| Professional Traditional | Finance, Legal, Senior Executives |
| Creative Hybrid | Design Engineers, UX Researchers |
| Academic CV | PhD, Professors, Researchers |
ATS Score Breakdown
| Category | Points | Criteria |
|---|---|---|
| Formatting | 30 | Single-column, standard fonts, no graphics |
| Structure | 20 | Summary, Skills, Experience, Education present |
| Content | 30 | Proper lengths, skills count, metrics in bullets |
| Keywords | 20 | Job description coverage (or 15 for general) |
Target: 85+ out of 100
When to Use
Use for:
- Creating resume from career-biographer data
- Optimizing resume for specific job posting
- Generating multiple resume variants
- ATS score and improvement recommendations
- Multi-format export
Do NOT use for:
- Cover letters (different format)
- Portfolio websites (use web-design-expert)
- LinkedIn profile optimization
- Interview preparation
- Career counseling or job search strategy
Anti-Patterns
Anti-Pattern: Creative Resume for Tech Roles
What it looks like: Colorful infographics, skill bars, profile photo, two-column layout Why wrong: ATS systems can't parse graphics or complex layouts Instead: Use Minimalist template with clean, single-column text format
Anti-Pattern: Generic Objective Statement
What it looks like: "Seeking a challenging role in a growth-oriented company..." Why wrong: Wastes space, provides no information Instead: Professional summary with specific metrics and target role
Anti-Pattern: Listing Every Technology Ever Used
What it looks like: 40+ skills including outdated technologies Why wrong: Dilutes expertise, unclear proficiency Instead: List 15-20 most relevant skills for target role
Anti-Pattern: Responsibilities Without Outcomes
What it looks like: "Managed a team", "Worked on backend systems" Why wrong: Doesn't show impact or value Instead: "Led team of 5 to deliver microservices migration, reducing deployment time by 70%"
Anti-Pattern: Inconsistent Formatting
What it looks like: Mixed date formats, different bullet styles, varying fonts Why wrong: Looks unprofessional, confuses ATS parsers Instead: Strict consistency throughout
Troubleshooting Quick Reference
| Issue | Cause | Fix |
|---|---|---|
| ATS Score <70 | Complex formatting, graphics | Switch to Minimalist, remove images |
| Keyword Coverage <60% | Not tailoring to job description | Extract keywords, add to Core Skills |
| Exceeds 2 pages | Too verbose, old roles included | Consolidate old roles, limit bullets |
| Generic summary | No positioning insights | Include specific metric, state target role |
| Long bullets | Trying to explain entire project | Split into multiple bullets, focus on outcome |
Length Guidelines
| Experience | Pages |
|---|---|
| Entry-level (0-3 years) | 1 page |
| Mid-level (3-10 years) | 1-2 pages |
| Senior-level (10+ years) | 2 pages max |
Never exceed 2 pages, even for very senior roles.
Reference Files
references/resume-protocol.md- Complete 8-step generation protocol, ATS scoring, before/after examplesreferences/formatting-rules.md- Best practices, templates, output formats, success metricsreferences/interfaces-integration.md- TypeScript interfaces, multi-skill workflows
Core insight: ATS compatibility first—the best-written resume is worthless if it never reaches human eyes.
Use with: career-biographer (content) | competitive-cartographer (positioning) | web-design-expert (portfolio)
How to use cv-creator 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 cv-creator
Execute installation command
Execute the skills CLI command in your project's root directory to begin installation:
The skills CLI fetches cv-creator from GitHub repository erichowens/some_claude_skills 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 cv-creator. Access the skill through slash commands (e.g., /cv-creator) 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▌
User Story & Requirements Generation
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Competitive Analysis
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Roadmap Prioritization
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
Make data-driven prioritization decisions faster
Stakeholder Communication
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Implementation Guide▌
Prerequisites
- ›Claude Desktop or compatible AI client
- ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
- ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
- ›Stakeholder contact information and communication channels
Time Estimate
30-60 minutes to see productivity improvements
Installation Steps
- 1.Install product management skill
- 2.Start with user story generation for known feature
- 3.Progress to competitive analysis: research 2-3 competitors
- 4.Use for roadmap prioritization: apply RICE/ICE scoring
- 5.Draft stakeholder communications and refine based on feedback
- 6.Build template library for recurring PM tasks
- 7.Share effective prompts with product team
Common Pitfalls
- ⚠Not validating competitive research—verify facts before sharing
- ⚠Accepting user stories without involving engineering team
- ⚠Over-relying on frameworks without qualitative judgment
- ⚠Not customizing outputs to company culture and communication style
- ⚠Skipping stakeholder validation of generated requirements
Best Practices▌
✓ Do
- +Validate research and competitive analysis with real data
- +Collaborate with engineering when generating technical requirements
- +Customize frameworks and templates to your company context
- +Use skill for first drafts, refine with stakeholder input
- +Document successful prompt patterns for PM tasks
- +Combine AI efficiency with human judgment and intuition
✗ Don't
- −Don't publish competitive analysis without fact-checking
- −Don't finalize user stories without engineering review
- −Don't make prioritization decisions solely on AI scoring
- −Don't skip customer validation of generated requirements
- −Don't ignore company-specific context and culture
💡 Pro Tips
- ★Provide context: company goals, constraints, customer feedback
- ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
- ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
- ★Use skill for 70% generation + 30% customization to company needs
When to Use This▌
✓ Use When
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid When
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
Learning Path▌
- 1Basic: user stories, feature specs, status updates
- 2Intermediate: competitive analysis, prioritization frameworks, PRDs
- 3Advanced: product strategy, go-to-market planning, OKR setting
- 4Expert: product vision, market positioning, business model innovation
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.7★★★★★49 reviews- ★★★★★Layla Mehta· Dec 28, 2024
Useful defaults in cv-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Layla Bansal· Dec 28, 2024
cv-creator reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Shikha Mishra· Dec 16, 2024
Registry listing for cv-creator matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ira Reddy· Dec 12, 2024
We added cv-creator from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Sophia Sanchez· Dec 4, 2024
I recommend cv-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Lucas Tandon· Nov 23, 2024
Useful defaults in cv-creator — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Hassan Thompson· Nov 19, 2024
I recommend cv-creator for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
- ★★★★★Aisha Perez· Nov 19, 2024
cv-creator is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Hassan Garcia· Nov 7, 2024
cv-creator fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Yuki Dixit· Nov 3, 2024
Keeps context tight: cv-creator is the kind of skill you can hand to a new teammate without a long onboarding doc.
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