What problem does it solve? Manually triaging thousands of SonarCloud issues across a codebase is slow and error-prone. This Skill automates the full remediation loop: fetching issues from the SonarCloud or SonarQube API, grouping them by rule and module, prioritizing by remediation impact, applying fixes, validating them, and creating focused pull requests with human approval checkpoints. ## Core Features & Use Cases - Prioritized Analysis (Phase A): Fetches all open issues, security hotspots, and duplication metrics, then groups them by rule key and module (with monorepo workspace and Ansible collection detection) into a numbered, priority-sorted report. - Guided Fixing (Phase B): Applies group-level fixes with approval gates, caps changes at ~200 LOC per PR, runs mandatory validation commands, and creates branches and PRs/MRs via the GitHub or GitLab CLI. - PR-Specific Mode: Filters analysis to a single pull request so teams can address new issues before merging. - Use Case: A maintainer runs the analysis on a repository with 800 maintainability issues, picks the low-risk unused-imports group, approves the proposed fixes, and gets a validated PR titled with the SonarCloud rule and module. ## Quick Start Ask the assistant to analyze SonarCloud issues for this project and fix the top low-risk group, providing your Sonar organization, project key, base branch, and validation commands when prompted.
