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Routes quality checks to the appropriate skill, covering code review and fixes, debugging, security checks, acceptance testing, AI response evaluation, and interface reviews. It also directs requests for validating phase outputs or reviewing plans across AI systems.
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Review code changed during a project phase for bugs, security vulnerabilities, and quality issues. Choose the review depth or specific files, receive findings grouped by severity, and optionally apply fixes followed by another review.
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Helps an agent evaluate code review feedback against the actual codebase before making changes. It covers clarifying unclear requests, explaining technical disagreements, prioritizing fixes, and testing each change for regressions.
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Review Git code changes using the CodeRabbit CLI. Receive a summary of the changes and issues ordered by severity, with affected file paths, practical impact, and concrete suggestions for follow-up fixes.
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Review code for readability, security weaknesses, performance bottlenecks, test quality, and ease of maintenance. Receive findings grouped by importance, with explanations and concrete suggestions that reflect the project's context and constraints.
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Review Python changes against shared team standards to find bugs, missing regression tests, and security issues. Findings are ordered by severity and include file names and line numbers so reviewers can locate each problem.
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Review code for readability, maintainability, security, and performance. Receive an overview, issues grouped by severity, concrete improvements with code examples, and positive feedback on parts of the implementation that work well.
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Review code changes for concrete defects. Use it to examine modified code when you want to check whether a change contains a bug, with the review focused on specific problems in the changes.
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Review code changes and pull requests for correctness, security, performance, and test quality. The skill helps prioritize issues, write specific and constructive feedback, and create shared review checklists and standards for a development team.
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Review uncommitted changes, commits, branch differences, or pull requests in context. Identify bugs and concrete security weaknesses, explain when each issue occurs and how serious it is, and provide actionable feedback grounded in the surrounding code.
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Review changes to a multilingual source code parser, focusing on whether relationships between code elements are correct. Check consistency across languages and verify that test examples reproduce the issue and actually validate the fix.
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Check a Kiln branch or pull request through real browser interactions. Multiple agents test separate feature areas in isolated environments, then combine findings into a severity-ranked Markdown report with reproduction steps and expected versus actual behavior.
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Build features or fix bugs by writing one failing test, then the minimum code needed to pass it. Test agreed public interfaces, the boundaries callers use, to check behavior without depending on internal implementation details.
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Review changes from a chosen Git reference against both project coding standards and issue or specification requirements. Separate parallel reviews report rule violations, possible design problems, missing requirements, and changes beyond the intended scope.
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Turn a specification and its linked tickets into code. Multiple agents work on available tasks in separate worktrees, combine changes on one integration branch, and complete a code review before preparing the result for review or closing tickets.
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Review code changes and pull requests for correctness, security, performance, and test quality. The skill helps prioritize issues, write specific and constructive feedback, and create shared review checklists and standards for a development team.
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Review web application code against OWASP Top 10 (2021), a list of common security risks. Receive findings with file locations, severity ratings, concrete fix code, and a prioritized list of remediation tasks.
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Review code with multiple AI perspectives to identify quality, security, performance, and design issues. The workflow also examines test evidence and unfinished implementation, then combines findings into a review that can be shared on a pull request.
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Review code changes for bugs, security risks, design issues, and test quality, then turn findings into specific, prioritized feedback. Use its checklists and comment templates to establish consistent review standards and support developer mentoring.
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Evaluate code review feedback against the actual code, supported environments, and existing behavior. Clarify uncertain requests, respond with technical evidence, and implement valid changes one at a time with tests for each fix.
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Analyze complex tasks before implementation through four structured phases. Clarify the problem, examine dependencies and impacts, challenge assumptions, and compare alternatives to produce a decision rationale, explicit uncertainties, and actionable recommendations.
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Evaluate existing code review comments against the actual codebase before making changes. The skill guides clarification, technical responses, prioritized fixes, and individual testing, helping assess whether suggestions fit current behavior and compatibility requirements.
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Review code or pull requests for likely bugs, readability, maintainability, and risks to existing behavior. Supporting scripts and reference checklists help analyze code quality, identify missing tests, and organize findings into a review report.
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Review source files changed during a phase for bugs, security issues, and code quality problems
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