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Skill Market Analyzer

Data Analysis Updated 2026.08.30

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About this skill

Problem

skill-market-analyzer addresses a planning question rather than a coding task: whether a target need is already crowded with similar skills, how strong existing solutions are, which use cases remain underserved, and where competitive or trend signals point. For teams preparing a new skill, this kind of analysis helps avoid decisions based only on intuition and gives a structured view of demand, saturation, quality, and competition.

How It Works

It breaks the skill marketplace into four dimensions: demand (user interest and request frequency), supply (number of available skills in a category), quality (average strength of existing solutions), and saturation (how crowded a segment is). It supports landscape for an overall market overview, gap for underserved areas, competitive for comparing competitors, and trend for emerging patterns. The skill uses scripts/analyze.sh to generate reports that can include an executive summary, supply-demand analysis, opportunity rankings, and strategic recommendations. The source notes that analysis uses publicly available skill data, requires no external API calls, and runs locally.

Fit And Limits

This is useful for pre-release market research, competitive comparison, and gap discovery, and can support a launch decision as part of broader validation. Its quality depends on the coverage and cleanliness of public marketplace data; thin categories, inconsistent naming, or weak quality signals can reduce the usefulness of the ranking. The report provides structured judgments and opportunity prioritization, but it does not replace user interviews, conversion metrics, or live product telemetry.

Use Cases

  • Before launching a productivity skill, generate a landscape report to check category supply, demand, and saturation.
  • While planning a new skill direction, run gap analysis to find user needs with insufficient existing coverage.
  • When comparing competing skills, use competitive analysis to organize differences and quality signals across similar solutions.
  • During quarterly market review, use trend analysis to spot newly emerging categories or demand patterns.

Best For

  • Independent developers preparing to publish a new skill need to judge whether a target category is too crowded.
  • Product leads planning a skill portfolio need supply, demand, and competitive evidence to prioritize work.
  • Skill-market analysts need to organize trends, gaps, and ranked opportunities from marketplace data.
  • Architects evaluating a third-party skill ecosystem need a quick category-level competitive overview.