onewave-ai-claude-skills
claudeComprehensive code review skill that identifies bugs, performance issues, and suggests improvements. Integrates with development workflows for quality assurance.
200 skills
AI-assisted code review with human oversight, combining AI analysis with human judgment for quality assurance.
Plugin in-the-loop-labs-pair-review from marketplace cascade-code-testing-code-review in joshuarweaver/cascade-code-testing-code-review. Commands read from the repo's manifest — 1 month ago.
This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.
update-provider-modelsreview-model-guidanceGuidance for selecting models when performing code review with subtasks. Load this skill to enable intelligent model selection for review analysis — choosing faster models for simple tasks and deeper reasoning models for complex analysis.
review-rouletteDispatch a review task to 3 randomly-selected reasoning models in parallel for diverse perspectives, then merge all suggestions into a single result.
analyzePerform AI-powered code review analysis by spawning parallel Task agents directly within the coding agent's context. Does not require the pair-review MCP server — works standalone. Runs Level 1 (diff isolation), Level 2 (file context), and Level 3 (codebase context) as parallel tasks, then orchestra
loopDrive an implement→review→fix loop with pair-review as the review oracle: run multi-model council reviews, triage the findings, apply fixes, and repeat with narrowing instructions until a final review returns no blockers. Use when the user says "pair loop", "review loop", "loop until clean", "review
ai-criticFetch AI-generated review suggestions from pair-review and make code changes to address them. Use when the user says "address AI feedback", "address AI suggestions", "fix AI review feedback", or wants to iterate on code based on AI analysis results from pair-review.
localOpen local uncommitted changes for review in the pair-review web UI. This only opens the browser — it does not run AI analysis or generate suggestions. Once open, the user can browse the diff, leave comments, and trigger analysis from the web UI themselves. Use when the user says "review my local ch
prOpen the GitHub pull request for the current branch in the pair-review web UI. This only opens the browser — it does not run AI analysis or generate suggestions. Once open, the user can browse the diff, leave comments, and trigger analysis from the web UI themselves. Use when the user says "review t
review-requestsOpen outstanding GitHub review requests in pair-review for AI-powered code review. Finds open PRs where my review is pending from the past week and starts pair-review analysis for each. Use when the user says "review requests", "review my PRs", "check review requests", "open review requests", "pair-
user-criticFetch human review comments from pair-review and make code changes to address them. Use when the user says "address review feedback", "fix review comments", "address comments", or wants to iterate on code based on feedback left by a human reviewer in pair-review.
pair-reviewruns: node bin/pair-review.js --mcp
Comprehensive code review skill that identifies bugs, performance issues, and suggests improvements. Integrates with development workflows for quality assurance.
200 skills
AI-powered code review tool providing feedback on code quality, best practices, and potential issues.
20 skills · 1 command · 3 agents · hooks
Advanced code review system that spawns three independent agents to review PRs with randomized file order, severity classification, consensus voting, and automatic deduplication.
24 skills
Claude Code plugin for code review focusing on inclusive design, accessibility, and ethical considerations.
18 skills · 1 agent
Claude Code plugins marketplace focused on code style review and specification-driven development workflows.
18 skills
Skills and tools for comprehensive code review analysis and feedback generation.
16 skills
Matt Pocock's agent skills for real engineering (grilling, spec/ticket flows, TDD, code review, domain modelling and more).
39 skills
Harness-native ECC operator layer - 71 agents, 314 skills, 98 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
200 skills · 98 commands · 71 agents · 1 MCP server · hooks
Automated code review for pull requests using multiple specialized agents with confidence-based scoring to filter false positives
1 command
5 skills + 35 modes + Material Passport pipeline. Includes v3.6.7 cross-model audit gate and v3.6.8 generator-evaluator contract.
5 skills · 16 commands · 4 agents · hooks
Use Alibaba Open Code Review from local Codex.
2 skills
Investigate incidents, review code and execute UAT for release readiness, scan code for vulnerabilities, and run penetration tests with AWS DevOps Agent and AWS Security Agent.
13 skills · 9 commands · 1 MCP server
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