gh-issue-to-demand-signal

To analyze competitor GitHub issues for demand gaps, fetch open issues from a target repository, filter noise, and score them by real user engagement to identify ignored demand. This process categorizes issues into specific demand clusters like feature gaps and bug patterns.

Yes, you can generate GTM messaging briefs directly from GitHub issue tracking data. By clustering and scoring issues based on real engagement, you can produce messaging briefs complete with positioning angles, outreach hooks, and cluster-specific headlines.

Demand clustering categorizes GitHub issues into six specific categories: feature gaps, bug patterns, UX complaints, performance issues, missing integrations, and missing docs. This categorization helps identify distinct market opportunities for product positioning.

Yes, you need a GitHub token for competitive analysis of repository issues. Providing a token increases your unauthenticated API rate limit, allowing the skill to successfully fetch and process large volumes of open issues from competitor repositories.

Yes, generating a demand gap report requires AI assistance for clustering issues and generating the final GTM messaging. The AI evaluates real engagement data to accurately detect ignored demand and formulate positioning angles and outreach hooks.