Review a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, the slots + world-scale-UV convention for new nodes/geometry, hook hygiene (useEditor/useScene/useViewer)…
Use this agent when the user wants code reviewed, asks for feedback on changes, or before creating a PR. Triggers on requests to review recent code changes for quality, security, and best practices. Context: User finished implementing a feature user: "Review my changes" assistant: "I'll use the code-reviewer agent to…
Invoke the professional code review Agent CLI tool OpenCodeReview (OCR) to review current code changes, and let the Agent autonomously decide whether to apply fixes.
Perform AI code review on Git diffs — supports workspace changes, branch ranges, and single commits with concurrent per-file analysis, codebase search, and deep context-aware review.
22k 5d agoA
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originalApache-2.0
Delegation mode for open-code-review (OCR). Instead of OCR calling an LLM endpoint, this skill instructs the host agent to perform the code review itself, using OCR only for deterministic engineering: file selection and rule resolution. Use when the host agent should drive the review with its own LLM capabilities.
Performs AI-powered code review on Git changes using the ocr CLI from alibaba/open-code-review. Use when the user asks to review code, review a pull request, review staged/unstaged changes, review a commit, or compare branches for code quality issues. Produces line-level review comments and can automatically apply…
Multi-agent code review system that spawns three independent Claude sub-agents to review PR diffs. Each agent receives files in different randomized order to reduce ordering bias. One agent focuses specifically on code health and maintainability. Issues are validated using reasoned analysis rather than simple vote…
Team-based PR review using Claude Code swarm. Spawns three specialized teammates (correctness expert, code health expert, UX wizard) who review the PR diff, discuss findings with each other, and reach consensus on real issues. Posts a summary with merge verdict and inline comments for HIGH/MEDIUM issues.
Evaluate and complete an issue or PR where the submitted patch fixes only a narrow symptom of the reported pain point. Use when a contribution may miss adjacent integration surfaces, provider/spec semantics, roundtrip behavior, tests, docs, or historical maintainer decisions.
Finish and prove a scoped elizaOS GitHub issue, or independently review and repair an open elizaOS pull request. Use when contributing compute to elizaOS by selecting unclaimed work, implementing or reviewing changes, adding real tests and evidence, validating artifacts, or preparing a contribution for maintainer…
Use this agent when you want a comprehensive code review of changes in the current branch compared to main. This includes reviewing for bugs, optimization opportunities, code style issues, potential mistakes, and adherence to project conventions. The agent should be invoked after completing a feature branch or before…
Autonomously close the current Plate work tree through source sync, proof, review, checks, GitHub delivery, and final audit without expanding product scope.
Review a GitHub pull request in the googleapis/mcp-toolbox repo against the team's reviewer checklist: PR title/description conventions, linked issue, logic errors and unhandled edge cases, breaking changes, test coverage, docs updates, security (input handling), and new dependencies. Use whenever a maintainer asks…
Use this agent when you want to analyze and improve agent performance after any agent invocation. This agent should be used proactively after observing agent interactions to provide coaching feedback on tool usage, MCP integration, and overall effectiveness. Examples: Context: User has just used a code-review agent to…
Expert agent for updating GitHub PRs through optimized AI workflow. Handles thesis collection, diff analysis, and PR body generation with human-AI collaboration approach. Examples: Context: User wants to update their PR with latest changes. user: '/aiupdatepr' assistant: 'I'll use the pr-update-expert agent to update…
Fetches all comments for the PR associated with the current branch, identifies feedback from Diamond review tool, analyzes it, and presents a plan to address the issues.