Coordinate multi-perspective project and package reviews to surface improvement points.
npx skills add https://github.com/kslhunter/simplysm --skill sd-improve
Please help me install this Agent Skill. Skill: sd-improve Source: https://github.com/kslhunter/simplysm/tree/main/.back/260203/sd-improve Command: npx skills add https://github.com/kslhunter/simplysm --skill sd-improve
Coordinate comprehensive reviews of project and package problems to surface improvement points.
Invoke sd-improve with an optional package name to review the entire project or a specific package directory.
High-intent search queries and answers about installing and using this skill.
To automate a comprehensive architecture review, coordinate parallel scans across logic, code, tests, and docs perspectives to surface improvement points. This orchestrates multiple evaluations simultaneously, merging and validating findings into prioritized, actionable recommendations.
Analyzing code quality across a monorepo is best done by running a coordinated project analysis that identifies cross-cutting improvements. It applies parallel evaluation over the entire project, merging results to deliver structured reporting on quality hotspots.
To run a targeted package review, invoke the analysis with a specific package name to focus on that directory. This narrows the comprehensive logic, code, architecture, test, and docs evaluation to surface quality hotspots within that isolated scope.
Yes, you can include human-in-the-loop decisions during an automated project analysis. The workflow supports optional human checkpoints after parallel scans and merged validation, allowing manual decisions before delivering structured, actionable feedback.
A multi-step workflow validates documentation and test improvements by running parallel scans from dedicated perspectives, then merging and validating the findings. This process consolidates results into grouped reporting, ensuring structured feedback for your project.
No specific dependencies are required to orchestrate project improvement reviews. The workflow applies parallel scans across architecture, logic, tests, and docs natively, merging and validating findings to deliver structured feedback without external packages.
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