Optimize technical resumes for software engineering, PM, and DevOps roles with structured guidance.
Works with
Provides frameworks for organizing technical skills by category, proficiency, or flat list; emphasizes ATS compatibility while highlighting depth for recruiters
Teaches the technical bullet formula combining action verbs, technical specifics, scale metrics, and technologies used to demonstrate impact
Includes role-specific examples for SWE, Data Engineer, DevOps/SRE, and Product Manage
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versiontech-resume-optimizerExecute the skills CLI command in your project's root directory to begin installation:
Fetches tech-resume-optimizer 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 tech-resume-optimizer. Access via /tech-resume-optimizer 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
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
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
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
1
total installs
1
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226
GitHub stars
0
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Run in your terminal
1
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1
this week
226
stars
Use this skill when the user:
What Tech Recruiters Look For:
1. Contact Information (including GitHub, Portfolio)
2. Professional Summary (optional but helpful)
3. Technical Skills (critical for ATS)
4. Work Experience (with technical achievements)
5. Projects (especially for early career)
6. Education
7. Certifications (if relevant)
John Developer
San Francisco, CA
[email protected] | (555) 123-4567
LinkedIn: linkedin.com/in/johndev
GitHub: github.com/johndev
Portfolio: johndev.io
Include:
Don't Include:
Option 1: By Category
Languages: Python, JavaScript, TypeScript, Go, SQL
Frameworks: React, Node.js, Django, FastAPI
Databases: PostgreSQL, MongoDB, Redis, Elasticsearch
Cloud/Infrastructure: AWS (EC2, S3, Lambda, RDS), Docker, Kubernetes, Terraform
Tools: Git, JIRA, CI/CD, Datadog, Grafana
Option 2: By Proficiency (use carefully)
Expert: Python, React, PostgreSQL, AWS
Proficient: Go, TypeScript, MongoDB, Docker
Familiar: Rust, GraphQL, Kubernetes
Option 3: Flat List (ATS-friendly)
Skills: Python, JavaScript, TypeScript, React, Node.js, Django, PostgreSQL, MongoDB, AWS, Docker, Kubernetes, Git
Languages:
Frameworks/Libraries:
Databases:
Cloud/DevOps:
[Action Verb] + [Technical What] + [Scale/Impact] + [Technology Used]
Examples:
❌ Weak Technical Bullet:
- Worked on backend services
- Helped improve system performance
- Built features for the product
✅ Strong Technical Bullet:
- Architected microservices migration from monolith, reducing deployment time from 2 hours to 15 minutes and enabling independent team deployments
- Optimized PostgreSQL queries and implemented Redis caching, reducing API latency by 60% (from 500ms to 200ms) for 100K daily active users
- Built real-time notification system using WebSockets and AWS SNS, handling 1M+ messages daily with 99.9% delivery rate
Scale:
Performance:
Efficiency:
Business:
Software Engineer:
• Designed and implemented authentication service using OAuth 2.0 and JWT, securing 2M+ user accounts with zero security incidents
• Led migration to Kubernetes, achieving 99.99% uptime and reducing infrastructure costs by 35% ($200K annually)
• Mentored 3 junior engineers through code reviews and pair programming, improving team velocity by 25%
Data Engineer:
• Built data pipeline processing 100M+ events daily using Apache Kafka and Spark, reducing data latency from hours to minutes
• Designed data warehouse schema in Snowflake, enabling self-service analytics for 50+ business users
• Implemented data quality monitoring with Great Expectations, catching 95% of data issues before impacting downstream systems
DevOps/SRE:
• Implemented infrastructure as code using Terraform, reducing provisioning time from 2 days to 30 minutes
• Built monitoring and alerting system with Prometheus and Grafana, reducing MTTR from 4 hours to 30 minutes
• Automated deployment pipeline with GitHub Actions, enabling 50+ daily deployments with zero-downtime releases
Product Manager (Technical):
• Led API platform roadmap for developer tools used by 10K+ developers, driving 40% increase in API adoption
• Defined technical requirements for ML recommendation engine, resulting in 25% increase in user engagement
• Partnered with engineering to reduce technical debt by 30%, improving release velocity from bi-weekly to weekly
Critical for:
Project Name | Technologies | Link
• Description of what it does
• Technical highlights and challenges solved
• Scale or usage metrics if available
PROJECTS
Distributed Task Queue | Python, Redis, Docker | github.com/user/taskqueue
• Built distributed task queue handling 10K+ jobs/hour with automatic retries and dead letter queue
• Implemented priority queuing and rate limiting for multi-tenant support
Real-time Chat App | React, Node.js, WebSocket, MongoDB | chatapp.demo.com
• Full-stack chat application supporting 100+ concurrent users with real-time messaging
• Implemented end-to-end encryption and message persistence
ML Price Predictor | Python, TensorFlow, FastAPI | github.com/user/predictor
• Trained regression model on 1M+ data points achieving 92% accuracy for price prediction
• Deployed as REST API with automatic model retraining pipeline
Do Include:
Don't Include:
B.S. Computer Science | Stanford University | 2020
GPA: 3.8/4.0 (include if above 3.5)
Relevant Coursework: Distributed Systems, Machine Learning, Database Systems
Software Engineering Certificate | App Academy | 2023
- 1000+ hour immersive program
- Full-stack JavaScript, React, Node.js, PostgreSQL
B.A. Economics | UCLA | 2020
Professional Certifications:
- AWS Solutions Architect Associate | 2023
- MongoDB Certified Developer | 2023
Relevant Education:
- MIT OpenCourseWare: Algorithms, Data Structures
- Coursera: Machine Learning Specialization (Stanford)
Make sure your GitHub shows:
Project READMEs should include:
If you match their stack:
If you don't match exactly:
Tech resumes should support your interview:
When optimizing a tech resume:
# TECH RESUME OPTIMIZATION
## Technical Skills Restructure
**Current:** [Their current skills section]
**Optimized:**
Languages: [Ordered list]
Frameworks: [Ordered list]
Databases: [Ordered list]
Cloud/Tools: [Ordered list]
## Experience Improvements
### [Company/Role]
**Current Bullet 1:**
"Worked on backend services"
**Improved:**
"Designed and deployed 5 Node.js microservices handling 50K requests/minute, reducing system coupling and enabling independent team deployments"
**Current Bullet 2:**
[Continue for each bullet]
## Projects to Highlight
[Suggestions based on their background]
## GitHub Recommendations
- [ ] Add READMEs to pinned repos
- [ ] Pin X project (most relevant)
- [ ] Add profile README
## Technical Gaps to Address
- [Missing skill] → [How to address in resume/cover letter]
Remember: Your resume must pass ATS AND impress technical recruiters.
For ATS:
For Tech Recruiters:
Make data-driven prioritization decisions faster
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
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
mattpocock/skills
Useful defaults in tech-resume-optimizer — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
tech-resume-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
Solid pick for teams standardizing on skills: tech-resume-optimizer is focused, and the summary matches what you get after install.
We added tech-resume-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
tech-resume-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
We added tech-resume-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
Solid pick for teams standardizing on skills: tech-resume-optimizer is focused, and the summary matches what you get after install.
tech-resume-optimizer fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
tech-resume-optimizer has been reliable in day-to-day use. Documentation quality is above average for community skills.
We added tech-resume-optimizer from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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