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ivangdavila

CV

by Iván · GitHub ↗ · v1.0.0
linuxdarwinwin32 ✓ Security Clean
1032
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Install in OpenClaw
/install cv
Description
Create ATS-optimized resumes and CVs with proper structure, metrics, and industry targeting.
README (SKILL.md)

Resume vs CV

Aspect Resume CV
Length 1-2 pages max No limit (can be 10+ pages)
Purpose Snapshot tailored to job Complete academic/professional history
Use Industry jobs (US, Canada) Academia, research, medicine, EU jobs
Update Customize per application Add new achievements continuously

Use resume for: tech companies, startups, corporate jobs, when posting says "resume" Use CV for: academic positions, research roles, EU/UK applications, grants and fellowships

Structure

Order for experienced professionals:

  1. Contact Info
  2. Professional Summary
  3. Work Experience
  4. Skills
  5. Education

Order for recent graduates:

  1. Contact Info
  2. Professional Summary
  3. Education
  4. Skills
  5. Projects/Internships

Never include: Photo (US jobs), birth date, marital status, religion, full address (city + state only), "References available upon request"

Professional Summary

Formula:

[Title] with [X years] of [domain] experience. 
[Key achievement with metrics]. 
Skilled in [top 3 relevant skills]. Seeking to [goal] at [company type].

Example:

Senior Software Engineer with 7 years of backend experience. 
Reduced API latency by 40% serving 2M daily users at scale. 
Expert in Python, AWS, and distributed systems. 
Seeking to lead platform engineering at a growth-stage fintech.

Avoid objective statements ("Seeking a position where I can grow...")—they're outdated and self-focused.

Experience Bullets

CAR Formula: Action Verb + Task + Result with Metrics

❌ Responsible for managing the engineering team
✅ Led 8-person engineering team, delivering 3 major features 2 weeks ahead of schedule

❌ Helped improve sales
✅ Increased enterprise sales by $2.3M (34% YoY) through automated lead scoring

❌ Worked on the checkout system
✅ Reduced checkout abandonment from 68% to 41% by redesigning 3-step flow

Action verbs by category:

Leadership Technical Growth Efficiency
Led, Directed Developed, Architected Increased, Grew Reduced, Streamlined
Managed, Mentored Engineered, Built Expanded, Generated Automated, Optimized

Limit 3-5 bullets per role. Start with strongest achievement.

Quantification

Every bullet should have numbers when possible:

Vague Quantified
Managed a team Managed team of 12 across 3 time zones
Improved performance Reduced load time from 4s to 800ms
Increased revenue Generated $1.2M ARR from new product line
Handled support Resolved 50+ tickets/week with 98% satisfaction

Types of metrics: revenue ($), percentage (%), time saved, team size, users/customers, scale (requests/sec), satisfaction scores

ATS Optimization

75% of resumes never reach human eyes due to ATS filtering.

Do:

  • Standard section headers: "Work Experience", "Education", "Skills"
  • Both acronym AND full version: "AWS (Amazon Web Services)"
  • Keywords from job description, naturally integrated
  • Standard fonts: Arial, Calibri, Times New Roman (10pt minimum)
  • PDF with selectable text (not scanned image)

Don't:

  • Tables, columns, or text boxes—ATS can't parse them
  • Headers/footers with important info—ATS may skip them
  • Images, logos, or graphics
  • Creative headers: "My Journey" → "Experience"
  • Special symbols (✓, ➤)—use standard bullets (•, -)
  • Keyword stuffing—triggers spam filters

Tech Industry

Must include:

  • GitHub profile URL
  • Technical skills categorized (Languages, Frameworks, Cloud, Tools)
  • Projects with live links
  • Scale metrics (users, requests/sec, data volume)

Skills format:

Languages: Python, TypeScript, Go
Frameworks: React, FastAPI, Django
Cloud: AWS (EC2, Lambda, S3), GCP
Tools: Docker, Kubernetes, Terraform, GitHub Actions

Avoid: Obsolete tech (jQuery, Flash), "Proficient in Microsoft Office", vague titles ("Code Ninja")

Design Industry

Must include:

  • Portfolio link (prominent, first line after name)
  • Tools: Figma, Sketch, Adobe CC
  • Process: user research, wireframing, prototyping, usability testing
  • Impact metrics: conversion rates, user satisfaction scores

Avoid: Resume without portfolio link (instant rejection), listing only tools without methodology

Length Guidelines

Experience Length
Student / Entry-level 1 page
1-5 years 1 page
5-10 years 1-2 pages
10+ years / Executive 2 pages max
Academic CV No limit

For senior roles, condense early-career positions to 1-2 lines.

Common Mistakes

  • Listing responsibilities instead of achievements—shows what you did, not impact
  • Starting bullets with "Responsible for..."—passive voice, no impact
  • No metrics—impossible to gauge value delivered
  • Same resume for every job—ATS matches keywords to job description
  • Typos and grammar errors—instant rejection at many companies
  • Unprofessional email (cooldude99@...)—use firstname.lastname@
  • Including photo in US applications—bias concerns, often auto-rejected
  • PDF from image/scan—ATS can't extract text
  • More than 2 pages—recruiters spend 6-7 seconds on first scan
  • First-person pronouns ("I managed...")—remove, start with verbs

Pre-Submit Checklist

□ Professional email address
□ Summary tailored to target role
□ 70%+ of bullets include metrics
□ Skills match job description keywords
□ Acronyms + full versions (SEO + Search Engine Optimization)
□ Consistent formatting throughout
□ 1-2 pages maximum
□ Text-selectable PDF
□ Filename: FirstName_LastName_Resume.pdf
□ LinkedIn matches resume content
□ No tables, columns, or text boxes
□ No typos (use spell check + human review)
Usage Guidance
This skill is a text-only guide for building ATS-friendly resumes/CVs and appears internally consistent and low-risk. Before using, avoid pasting highly sensitive personal data (SSNs, passport numbers, full date of birth) into any external chat; sharing names, employment history, metrics, GitHub/portfolio links and role-specific details is expected and required for useful output. If you plan to have an agent auto-run skills on your behalf, remember the agent may transmit any resume text you provide to the language model—only supply information you are comfortable sharing. If you need networked exports (e.g., saving to cloud storage or submitting applications), confirm those actions are handled by separate, trusted integrations.
Capability Analysis
Type: OpenClaw Skill Name: cv Version: 1.0.0 This OpenClaw skill bundle is classified as benign. The `_meta.json` file contains standard metadata, and the `SKILL.md` file provides extensive, well-structured instructions and guidelines for an AI agent to create ATS-optimized resumes and CVs. There is no executable code, no attempts at prompt injection to manipulate the agent into unauthorized actions, and no indications of data exfiltration, malicious execution, persistence, or obfuscation. All content is directly aligned with the stated purpose of resume and CV creation.
Capability Assessment
Purpose & Capability
Name and description (ATS-optimized resumes/CVs) match the content of SKILL.md: formatting guidance, templates, bullet phrasing, and a pre-submit checklist. There are no unrelated required binaries, env vars, or config paths.
Instruction Scope
SKILL.md contains only guidance, templates, and checklists for writing resumes/CVs. It does not instruct the agent to read files, access environment variables, call external endpoints, or collect system-level data beyond the user's resume content.
Install Mechanism
No install spec and no code files are present. Because this is instruction-only, nothing is written to disk or fetched at install time.
Credentials
The skill requests no credentials or environment variables. All recommended items (GitHub/portfolio links, metrics) are appropriate for resume/CV creation and are user-supplied, not environment-derived.
Persistence & Privilege
The skill is not set to always:true and does not modify system or other-skill configurations. It relies on the agent's normal invocation model and does not request permanent presence or elevated privileges.
How to Use
  1. Make sure OpenClaw is installed (local or Docker)
  2. Run the install command in chat: /install cv
  3. After installation, invoke the skill by name or use /cv
  4. Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release
Metadata
Slug cv
Version 1.0.0
License
All-time Installs 2
Active Installs 2
Total Versions 1
Frequently Asked Questions

What is CV?

Create ATS-optimized resumes and CVs with proper structure, metrics, and industry targeting. It is an AI Agent Skill for Claude Code / OpenClaw, with 1032 downloads so far.

How do I install CV?

Run "/install cv" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.

Is CV free?

Yes, CV is completely free (open-source). You can download, install and use it at no cost.

Which platforms does CV support?

CV is cross-platform and runs anywhere OpenClaw / Claude Code is available (linux, darwin, win32).

Who created CV?

It is built and maintained by Iván (@ivangdavila); the current version is v1.0.0.

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