Automate code review against organizational conventions using a knowledge base.
npx skills add https://github.com/ryu-qqq/conventionHub --skill review-ryu-qqq
Please help me install this Agent Skill. Skill: review Source: https://github.com/ryu-qqq/conventionHub/tree/main/.claude/skills/review Command: npx skills add https://github.com/ryu-qqq/conventionHub --skill review-ryu-qqq
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High-intent search queries and answers about installing and using this skill.
Automated code review against organizational conventions works by evaluating staged commits or pull requests against a stored knowledge base, applying deterministic checks to identify rule violations and suggest actionable remediation.
A zero-tolerance policy in automated code review enforces strict adherence to defined conventions by immediately flagging any violations and providing actionable remediation guidance without exception.
You can automate code review for multi-file pull requests by inputting the changed files into the review process, which evaluates them against your knowledge base rules and outputs violation reports with improvement suggestions.
Yes, you can use knowledge-base rules to review staged commits. The automated review process accepts single-file or multi-file staged changes and evaluates them against your stored organizational conventions.
The best way to enforce consistent coding conventions in a large codebase is to automate the review process using a knowledge base, ensuring deterministic checks are applied uniformly across all commits and pull requests.
Yes, automated convention review supports single-file changes. It evaluates individual file modifications against the knowledge base rules to detect violations and provide specific remediation guidance.
AlejandroFerpAudit code snippets against knowledge-base rules and return a pass/fail report.
s4waveScan diffs against AGENTS.md rules to flag violations, dead code, and missed issues.
bjcoombsGenerate conventional-commit messages from staged git diffs.
mathiasbourgoinAudit source code against team-defined invariants and naming conventions.
