Coordinate five read-only review agents and output a structured summary report.
npx skills add https://github.com/patrob/skills --skill pw-review
Please help me install this Agent Skill. Skill: pw-review Source: https://github.com/patrob/skills/tree/main/plugins/claude-skills/skills/pw-review Command: npx skills add https://github.com/patrob/skills --skill pw-review
Coordinated multi-lens reviews to improve code quality and speed by parallelizing analysis across teams.
Provide the changed files or diff and run the pw-review workflow to generate a multi-lens review.
High-intent search queries and answers about installing and using this skill.
Run a parallel multi-lens code review by providing your uncommitted changes, branch diffs, or PR diffs to launch five read-only agents that analyze UX, Security, Performance, Test Coverage, and Production Readiness simultaneously.
A 5-lens code review coordinates parallel analysis across UX, Security, Performance, Test Coverage, and Production Readiness agents to deduplicate findings and output a structured summary report, improving quality by covering multiple perspectives at once.
Yes, parallel review agents work across both frontend and backend projects. You provide the code changes or diffs, and the five lenses analyze the differences regardless of the project's stack to generate a severity-ranked report.
To get a severity-ranked report, provide your code diffs to trigger five parallel review agents. They will deduplicate overlapping findings and aggregate the results into a consolidated summary with actionable next steps for stakeholders.
Multi-lens code review works with uncommitted changes, branch diffs, and PR diffs. The review agents read the provided diff to analyze the changes and output a structured summary report with actionable next steps.
e-xodeReview branch, PR, or uncommitted diffs and output a severity-categorized markdown report.
lawvableFrame vendor due-diligence assessments across financial, operational, compliance, security, and reputational dimensions.
curiositechDiagnose and remediate DAG workflow failures with root-cause analysis and confidence scoring.
chrono-metaMap multi-part workflows to optimal AI agent combinations across Claude Code and Codex.
