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skill-github-sentiment-analysis
skill-github-sentiment-analysis contiene 2 skills recopiladas de newfront, con cobertura ocupacional por repositorio y páginas de detalle dentro del sitio.
Skills en este repositorio
Fetches, displays, and summarizes GitHub issues from any accessible repository. Supports filtering by limit, state, and optionally expanding issue bodies with AI summarization, and fetching related open PRs and branches per issue. Use when the user asks to fetch issues, list GitHub issues, summarize issues, find bugs or feature requests in a repo, or says things like "gh issues", "get issues from", "show me issues for", or provides a GitHub repo URL and asks about its issues.
Fetches GitHub issues and performs hybrid sentiment analysis using VADER (offline scoring) and the Cursor agent as the LLM (no API key required). Produces a sentiment-enriched JSON or markdown report per issue: tone label, tone detail, and a one-sentence summary. Use when the user asks to analyze sentiment of GitHub issues, score issue tone, classify issue mood, summarize issues with sentiment, or says things like "analyze sentiment", "score these issues", "what's the tone of this issue", or "run sentiment analysis without an API key".