Coordinate multi-agent code review workflows and generate structured findings.
npx skills add https://github.com/yxc023/agent-config-studio --skill ce-review-yxc023
Please help me install this Agent Skill. Skill: ce:review Source: https://github.com/yxc023/agent-config-studio/tree/main/.opencode/skills/ce-review Command: npx skills add https://github.com/yxc023/agent-config-studio --skill ce-review-yxc023
ce:review orchestrates multi-agent code reviews by coordinating tiered personas to analyze diffs, produce a structured findings report, and drive a merge/dedup pipeline with run artifacts for downstream workflows.
Run a ce:review session on a changed codebase to generate a structured report and associated run artifacts.
High-intent search queries and answers about installing and using this skill.
Automated code review routes diff findings through tiered agents to generate structured reports. It classifies results into safe_auto, gated_auto, manual, and advisory categories, producing JSON artifacts for downstream pipeline consumption.
Multi-agent code review coordinates always-on reviewers for correctness and testing alongside conditional agents for security and performance. This routes findings through an autofix pipeline, creating actionable next steps based on diff content.
Automated code review supports both standalone and pull request workflows. It integrates intent discovery, plan discovery, and staged synthesis to produce structured findings with clear ownership and auto-fix routing.
Multi-agent code review classifies findings into safe_auto, gated_auto, manual, and advisory tiers. This structured routing ensures residual risks and testing gaps are addressed with clear ownership for automated remediation.
Providing a run_id generates per-run artifacts and headless JSON outputs. While the structured findings report is always produced, the run_id enables integration with automated compound-engineering workflows.
Conditional reviewers for security, performance, api-contract, data-migrations, reliability, adversarial, cli-readiness, and previous-comments are selected based on diff content. The selection is automatic, limiting manual override of the reviewer composition.
BradliebsAutomate multi-agent code review and merge findings into a structured report.
DieStokRun parallel reviewer agents to surface role-specific issues in requirements or plan documents.
sayalinvidiaGenerates synthetic MR images via NV-Generate-CTMR workflow with JSON provenance reporting.
michaelvolzAnalyze git diffs and generate tiered code review reports.
