AI Skill Report Card

Generated Skill

B-70·Feb 5, 2026·Source: Web
YAML
--- name: writing-technical-resumes description: Creates ATS-optimized technical resumes tailored to specific job descriptions for US tech positions. Use when someone needs help with tech resume writing, ATS optimization, or matching skills to job requirements. ---

Technical Resume Writing for US Tech Jobs

INPUT: Job description + current resume
OUTPUT: ATS-optimized resume with:
- Keywords from job description integrated naturally
- Skills section aligned with requirements
- Experience bullets quantified with metrics
- Format optimized for ATS parsing
Recommendation
Consider adding more specific examples

Resume Optimization Process:

Progress:

  • Analyze job description for required skills, keywords, and qualifications
  • Extract current candidate experience and technical skills
  • Map candidate skills to job requirements (highlight gaps)
  • Restructure resume sections for ATS compatibility
  • Rewrite experience bullets with action verbs + quantified results
  • Optimize keywords density (10-15% of job description keywords)
  • Format for ATS parsing (standard fonts, clear sections, no graphics)
  • Test ATS score against job description

Key Sections to Optimize:

  1. Professional Summary (2-3 lines matching job level)
  2. Technical Skills (exact keyword matches from JD)
  3. Experience (STAR method: Situation, Task, Action, Result)
  4. Education & Certifications
Recommendation
Include edge cases

Example 1: Input: Senior Software Engineer JD requiring "Python, AWS, microservices, agile" Output:

  • Skills: "Python, AWS (EC2, Lambda, S3), Microservices Architecture, Agile/Scrum"
  • Experience: "Developed microservices using Python and AWS Lambda, reducing system latency by 40%"

Example 2: Input: Data Scientist JD emphasizing "machine learning, SQL, statistical analysis" Output:

  • Skills: "Machine Learning (scikit-learn, TensorFlow), SQL, Statistical Analysis"
  • Experience: "Built ML models using Python and SQL, improving prediction accuracy by 25%"
  • ATS Optimization: Use standard section headers (Experience, Skills, Education)
  • Keyword Integration: Include exact phrases from job description naturally
  • Quantify Everything: Add metrics, percentages, dollar amounts, time saved
  • Skills Matching: Lead with most relevant technical skills for the role
  • Format Standards: Use .docx format, standard fonts (Arial, Calibri), 10-12pt font
  • Length: 1-2 pages for most roles, 2-3 for senior positions (10+ years)
  • Keyword Stuffing: Don't repeat keywords unnaturally - integrate contextually
  • Generic Bullets: Avoid "Responsible for..." - use action verbs + results
  • Missing Metrics: Never write experience without quantifiable outcomes
  • Poor ATS Format: Avoid tables, graphics, unusual fonts, or creative layouts
  • Skills Mismatch: Don't claim skills not mentioned in job description as primary
  • Outdated Technologies: Remove irrelevant old tech unless specifically requested
0
Grade B-AI Skill Framework
Scorecard
Criteria Breakdown
Quick Start
11/15
Workflow
11/15
Examples
15/20
Completeness
15/20
Format
11/15
Conciseness
11/15