Coordinate parallel subagent reviews of code, security, performance, and tests.
npx skills add https://github.com/nxy7/streampai-elixir --skill review-work
Please help me install this Agent Skill. Skill: review-work Source: https://github.com/nxy7/streampai-elixir/tree/main/.claude/skills/review-work Command: npx skills add https://github.com/nxy7/streampai-elixir --skill review-work
This Skill coordinates parallel, multi-specialist reviews of code and project changes by deploying independent subagents to analyze code quality, security, performance, and test coverage.
Use the review-work-agent to initiate a structured multi-agent review for a target area or file.
High-intent search queries and answers about installing and using this skill.
Automated multi-agent code review deploys independent subagents to analyze code quality, security, performance, and test coverage in parallel. It coordinates these specialist perspectives to consolidate findings and produce a prioritized, actionable report with file:line references.
Parallel security and performance analysis assigns specialist roles to independent subagents, enabling concurrent reviews of your repository changes. This cross-pollination approach identifies overlaps, gaps, and systemic risks across code, documentation, and configuration adjustments.
Multi-specialist git analysis requires git context and an agent orchestration tool to spawn subagents. These prerequisites allow the system to deploy independent agents, aggregate their findings, and generate a convergent, prioritized report.
Automated code review is applicable to documentation updates and configuration adjustments across a repository, not just code changes. It analyzes these modifications using the same parallel, multi-specialist subagent deployment and consolidated reporting mechanism.
The best way to consolidate parallel code review findings is through cross-pollination and synthesis. This mechanism identifies overlaps and systemic risks across specialist analyses, outputting prioritized issues with concrete remediation steps and file:line references.
Using subagents for code review enables phase-based analysis with 4-6 specialist roles, including a Codex Fresh Eyes perspective. This parallel deployment prevents single-agent bottlenecks and allows independent analysis before consolidating findings into an actionable report.
agoodwayCoordinates multiple specialist subagents to identify risks and improvements in git changes.
notqueDetect and prioritize code quality issues in Python and Go repositories.
sobhanashineAutomate software deployment by merging branches, running tests, and updating versioning.
woxiangyangzhimaoExecute sequential code changes with checkpoints and rollback.
