Analyze git diffs for quality, tests, security, and performance.
npx skills add https://github.com/emiljuchnikowski/smartsoft001 --skill review-emiljuchnikowski
Please help me install this Agent Skill. Skill: review Source: https://github.com/emiljuchnikowski/smartsoft001/tree/main/.claude/skills/review Command: npx skills add https://github.com/emiljuchnikowski/smartsoft001 --skill review-emiljuchnikowski
Analyzing code changes for quality, tests, security, and performance is time-consuming and error-prone. This Skill automates multi-dimension code review workflows to deliver structured feedback across changed files.
Invoke the review workflow against your latest changes to generate a multi-dimensional code review.
High-intent search queries and answers about installing and using this skill.
Automated code review analyzes git diffs, staged changes, or specific branches to deliver structured feedback across quality, tests, security, and performance dimensions. It scopes the review to modified files and generates actionable findings.
Multi-dimensional code review covers linting, static analysis, test coverage evaluation, dependency audits, vulnerability checks, and performance impact insights. It synthesizes these findings into structured reports for modified modules.
Yes, code review findings can be posted to Linear when a linearTaskId is provided. The automation synthesizes quality, security, and performance results into actionable reports and integrates them into your project management workflow.
Security and performance checks on staged changes evaluate dependency vulnerabilities and performance impact insights. The review scopes to touched files, auditing dependencies and analyzing performance implications within the modified code.
Automated code review evaluates test results, coverage, and test quality specifically for modified modules. It assesses whether the tests adequately cover the changed files and provides structured feedback on test quality.
Integrating quality assurance into CI-CD pipelines involves automating multi-dimensional reviews that check code style, run static analysis, and evaluate test coverage on changed files. This produces structured findings for continuous feedback.
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