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npx claudepluginhub pluginagentmarketplace/custom-plugin-linux --plugin custom-plugin-linuxHow this command is triggered — by the user, by Claude, or both
Slash command
/custom-plugin-linux:compareThis command is limited to the following tools:
The summary Claude sees in its command listing — used to decide when to auto-load this command
# /compare - Compare Specializations Side-by-Side **Compare 2+ specializations to make informed career decisions.** Get detailed side-by-side analysis covering salaries, job market, learning curve, career paths, and more. ## Command Syntax ## Comparison Dimensions ### 1. **Learning & Skill Requirements** - Learning curve (1-10 scale) - Time to intermediate proficiency - Prerequisite skills needed - Difficulty factors - Resource availability ### 2. **Compensation Data** - Beginner salary range - Mid-level salary range - Senior salary range - Geographic variations - Industry variations...
/compareCompares two skills head-to-head across quality dimensions, reporting which is better in each category. Accepts two arguments: <skill-a> and <skill-b>.
/compareCompares current screenshots against baselines to detect visual regressions via pixel diff with threshold, generates diff images, summary table with pass/fail status, and report.
/compareCompares multiple ML experiment runs side-by-side from tracking store, analyzes parameter sensitivity, generates visualizations, identifies best configuration, and recommends next experiments.
/compareSide-by-side comparison of N items (drugs, genes, diseases, variants, trials) with domain-appropriate columns, aligned data, and per-cell source citations in a structured table.
/compareCompares two or more stocks side by side using key metrics, valuation, growth, profitability, and recent performance data. Outputs a comparison table and analysis summary.
/compareDiffs two ComfyUI workflows from files, names, history, or IDs to show added/removed nodes and changed inputs/connections.
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Compare 2+ specializations to make informed career decisions. Get detailed side-by-side analysis covering salaries, job market, learning curve, career paths, and more.
/compare [role1] [role2] [role3...]
# Compare languages
/compare javascript python java go rust
# Compare frameworks
/compare react vue angular nextjs
# Compare cloud platforms
/compare aws gcp azure
# Compare roles
/compare product-manager engineering-manager technical-lead
# Compare specializations across domains
/compare frontend backend devops
# With filters
/compare python java go --focus salary
/compare react vue --focus job-market
/compare aws gcp --focus learning-curve
Side-by-side comparison of all requested specializations across all dimensions
/compare python java golang
Returns: Detailed comparison of Python (ease), Java (enterprise), Go (performance)
/compare react vue angular --focus job-market
Returns: React (highest demand), Vue (ease), Angular (enterprise)
/compare engineering-manager technical-lead staff-engineer
Returns: Management vs IC progression paths with tradeoffs
/compare frontend backend full-stack --focus learning-time
Returns: Learning time comparison with progression advice
--focus salary - Prioritize compensation comparison--focus job-market - Emphasize hiring demand--focus learning - Focus on difficulty and resources--focus community - Compare community size--focus growth - Focus on demand growth trends--location san-francisco - SF Bay salary & demand--location new-york - NYC salary & demand--location remote - Remote work prevalence--location global - Global averages--timeline 1-year - Which is learnable in 1 year?--timeline 5-years - Long-term career trajectory--for-role [current-role] - Based on where you are now| Dimension | What it Measures | Example |
|---|---|---|
| Learning Curve | Time to proficiency | React (medium) vs Vue (easy) |
| Salary Potential | Income growth | Java ($130-200K) vs Go ($120-180K) |
| Job Market | Available positions | React (🔥 highest) vs Vue (📈 good) |
| Ecosystem | Tools and resources | Node.js (largest NPM) vs Python (PyPI) |
| Community | Support and networking | JavaScript (massive) vs Rust (growing) |
| Career Path | Progression options | Full-stack (diverse) vs Data Eng (specialized) |
| Criteria | Python | Java | Go |
|---|---|---|---|
| Learning Curve | ⭐⭐ Easy | ⭐⭐⭐⭐ Hard | ⭐⭐⭐ Moderate |
| Salary (2024) | $100-150K | $130-200K | $120-180K |
| Job Market | 🔥 High | 💼 Very High | 📈 Growing |
| Best For | Data, scripts, AI | Enterprise, Android | DevOps, microservices |
| Time to Proficient | 4-6 weeks | 10-12 weeks | 8-10 weeks |
✅ Compare 2-3 specializations at a time (easier to decide) ✅ Filter by your priorities first ✅ Consider career growth, not just starting salary ✅ Factor in personal interests and strengths ✅ Review job postings in target roles ✅ Talk to people in those roles ✅ Take the comparison as guidance, not law
/roadmap [role] - Dive deeper into specific role/learn [role] - Start learning path for chosen specialization/resources [role] - Find learning materials for chosen path/progress [role] - Track progress once you've chosen💡 Pro Tip: Choose based on your interests and strengths, not just salary! Passion drives excellence.