Was macht offer-comparison-analyzer?
Vergleiche mehrere Jobangebote nebeneinander mit einer Analyse der Gesamtvergütung.
Vergleiche mehrere Jobangebote nebeneinander mit einer Analyse der Gesamtvergütung.
Diese Fähigkeit (Skill) ermöglicht es KI-Agenten, mehrere Stellenangebote systematisch nebeneinander zu vergleichen, wobei der Fokus auf der Gesamtvergütung (Total Compensation) liegt. Sie ist besonders nützlich für Entwickler und Fachleute, die mehrere Jobangebote bewerten und eine fundierte Entscheidung treffen möchten. Der Skill unterstützt die Analyse von Gehalt, Boni, Aktienoptionen, Zusatzleistungen und anderen Vergütungskomponenten und bietet eine klare, tabellarische Gegenüberstellung. Durch die Automatisierung dieses Prozesses spart der Skill Zeit und reduziert menschliche Fehler bei der manuellen Berechnung. Er kann in Verbindung mit Plattformen wie Claude Code, Cursor oder Codex verwendet werden, um Angebote zu analysieren und zu visualisieren.
npx skills add https://github.com/paramchoudhary/resumeskills/tree/main/skills/offer-comparison-analyzerInstalled? Explore more Recherche & Datenanalyse skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
Vergleiche mehrere Jobangebote nebeneinander mit einer Analyse der Gesamtvergütung.
This repo contains 19 individual skills — each has its own dedicated page.
Format CVs for academic positions with publications, grants, and teaching
Translate skills from one industry to another, identify transferable skills
Create personalized, compelling cover letters from resume and job description
Balance visual design with ATS compatibility for creative roles
Create C-suite and VP level resumes emphasizing strategic leadership
Generate STAR stories, practice questions, and talking points from resume
Analyze job postings, calculate match scores, identify gaps, and create application strategy
Optimize LinkedIn profile for searchability, recruiter visibility, and engagement
Transform resume bullets into detailed portfolio case studies
Format professional references properly and prepare reference materials
Optimize resumes for Applicant Tracking Systems, check ATS compatibility, and analyze keyword match
Transform weak resume bullets into achievement-focused statements with metrics and impact
Ensure ATS-friendly formatting and create clean scannable layouts
Find opportunities to add metrics and estimate numbers when exact data unavailable
Create targeted resume sections optimized for different experience levels and roles
Customize resume for specific job postings while maintaining truthfulness
Track different resume versions, maintain master resume, manage tailored versions
Research market rates, build negotiation strategy, and create counter-offer scripts
Optimize resumes for software engineering, PM, and technical roles
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.