skill-coverage-map

To map skill coverage and identify gaps, map existing skills to their functional categories to compute per-track coverage percentages and generate actionable recommendations for new skill implementations.

Supported tracks for coverage gap analysis include ai-productivity, enterprise-skills, platform-challenge, web3-core-operations, and web3-data-intelligence, allowing you to analyze a specific track or all tracks at once.

Generate recommendations for new skill implementations by computing coverage percentages and listing category gaps, which outputs actionable next steps to close those gaps and improve portfolio completeness.

Skill mapping is the process of linking existing skills to functional categories to reveal portfolio visibility. You need gap analysis when tracks lack skills in specific categories and require new implementations to ensure complete coverage.

You can analyze coverage for all tracks simultaneously to view comprehensive coverage results, or target a specific track like web3-data-intelligence to isolate category gaps and generate focused recommendations.

Outputs from track-category mapping and gap detection include coverage percentages, detailed skill breakdowns per category, gap lists identifying missing skills, and suggested next steps to improve portfolio completeness.