Coordinates multiple specialist subagents to identify risks and improvements in git changes.
npx skills add https://github.com/agoodway/.claude --skill review-work-agoodway
Please help me install this Agent Skill. Skill: review-work Source: https://github.com/agoodway/.claude/tree/main/skills/review-work Command: npx skills add https://github.com/agoodway/.claude --skill review-work-agoodway
This Skill coordinates multiple specialist subagents to perform a thorough, parallel analysis of code and project changes, reducing review time and increasing coverage.
Use the /review-work-agent [optional file/area to focus on] to begin the multi-agent review of the current changes.
High-intent search queries and answers about installing and using this skill.
Automate multi-agent code review by orchestrating specialist subagents to analyze git changes in parallel. This coordinates domain experts across code, documentation, and tests to identify risks and improvements with cross-validation.
Risk analysis on complex code changes is best performed by deploying multiple specialist subagents for parallel evaluation. A cross-pollination round aggregates findings to identify systemic issues, followed by a meta-analysis to surface unseen risks.
Parallel specialist analysis works by assigning four to six domain experts, such as Code Quality, Security, and Performance, to evaluate changes simultaneously. This reduces review time and increases coverage by cross-validating findings across domains.
Yes, you can use multi-agent orchestration to review mixed-code changes across code, documentation, and tests. The orchestration assigns relevant specialists to each area, enabling comprehensive parallel analysis and integrated synthesis.
Get actionable output by running a final synthesis of the multi-agent review, which produces prioritized recommendations with file and line references. This synthesis integrates findings from all specialist subagents into a clear output protocol.
You need multi-agent orchestration when complex changes require multi-domain validation and a rigorous review process. It is ideal for reducing review time on large mixed-code changes by leveraging parallel analysis and cross-pollination.
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