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@gonzih/skill-radar

v0.1.0

Published

MCP server for personalized skill gap analysis and 90-day learning plans

Downloads

122

Readme

Skill Radar — Personalized Skill Gap Analysis

86% of professionals are falling behind on critical skills — LinkedIn 2026 Learning Report

Skill Radar is an MCP (Model Context Protocol) server that analyzes your professional role, current skills, and 2025-2026 industry trends to identify specific skill gaps and generate a personalized 90-day learning plan. All resources are free.

What it does

  • Skill gap analysis across 9 role categories (Software Engineering, Product, Marketing, Finance, Healthcare, Data Science, Design, Leadership, Law)
  • 90-day learning plans with weekly themes, curated free resources, practice exercises, and daily 5-15 minute micro-actions
  • Market comparison with alignment scores and estimated salary impact
  • Weekly check-ins to track progress over the 12-week plan
  • Trend data covering trending, emerging, and decaying skills for 2025-2026

Installation

npm install -g @gonzih/skill-radar

MCP Configuration (Claude Desktop)

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "skill-radar": {
      "command": "skill-radar"
    }
  }
}

On macOS the config file is at: ~/Library/Application Support/Claude/claude_desktop_config.json

How to use

1. Analyze your skill gaps

Ask Claude:

"Analyze my skill gaps. I'm a software engineer with 4 years experience. My current skills are: Python, Django, PostgreSQL, Git, basic AWS. My goal is to get promoted to senior."

Claude will call analyze_skills and return a prioritized gap list with ROI scores.

2. Build your 90-day plan

"Build a learning plan based on my top 5 skill gaps, I have 7 hours per week."

Claude will call build_plan and return a 12-week plan broken into:

  • Month 1 — Foundation: One new concept per week
  • Month 2 — Application: Build real projects
  • Month 3 — Visibility: Portfolio, networking, credentialing

3. Weekly check-ins

"Log my week 3 check-in. I completed: read TypeScript handbook chapter 1-3, built a typed Express API, watched Kubernetes intro video."

4. Career pivots

For role transitions (e.g., software engineer → data scientist):

"I'm a software engineer wanting to switch to data science. Analyze my gaps and build a 90-day transition plan."

Skill Radar will detect the gap between your current role's skills and the target role's trending skills, then build a bridge plan.

5. Combine with daily micro-learning

Each week in your plan includes 7 daily actions (5-45 min each). Use them as:

  • Morning warm-up before work
  • Lunch-break learning
  • Evening wind-down practice

Tool Reference

| Tool | Description | |------|-------------| | analyze_skills | Gap analysis with ROI scoring | | build_plan | 12-week personalized learning plan | | get_trending_skills | Trending/emerging/decaying skills by role | | weekly_checkin | Track progress + get encouragement | | get_resources | Curated free learning resources | | compare_to_market | Alignment score + salary impact estimate |

Supported Role Categories

  • Software Engineering
  • Product Management
  • Marketing
  • Finance/Accounting
  • Healthcare
  • Data Science/Analytics
  • Design
  • Leadership/Management
  • Law

Data

Trend data is sourced from analysis of job postings, LinkedIn Learning reports, Stack Overflow surveys, and industry reports for 2025-2026. All learning resources are free (freeCodeCamp, Kaggle, Hugging Face, official docs, YouTube, MIT OCW, etc.).

License

MIT — Copyright Maksim Soltan