code-review-cycle执行 Coding ↔ Review 循环。A 写代码 → B Review → A 修改（可选）。支持 codex/claude-code 作为 A 或 B。
Install via ClawdBot CLI:
clawdbot install Raccoon-Office/code-review-cycleGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://github.com/Raccoon-Office/code-review-cycle-skillAudited Apr 17, 2026 · audit v1.0
Generated Mar 22, 2026
Automates code review cycles for development teams, enabling AI agents to write and review code iteratively. This reduces manual review time and ensures consistent quality checks, particularly useful for agile workflows in tech companies.
Facilitates automated feedback on student coding assignments by simulating a peer review process. AI agents provide constructive critiques, helping learners improve their skills without instructor intervention in coding bootcamps or online courses.
Streamlines code contributions in open-source projects by automating initial reviews and modifications. Maintainers can use this to handle pull requests efficiently, ensuring code quality before human review in collaborative platforms like GitHub.
Integrates into corporate software development pipelines to enforce coding standards and catch issues early. AI agents perform automated reviews as part of CI/CD processes, reducing bugs and improving compliance in large-scale enterprises.
Offer the skill as a cloud-based service with tiered pricing based on usage, such as number of review cycles or agent calls. This targets businesses seeking scalable, pay-as-you-go automation tools for development teams.
Sell licenses to large organizations for on-premise or private cloud deployment, including customization and support services. This model caters to companies with strict security or compliance requirements in regulated industries.
Provide a free basic version for individual developers or small teams, with advanced features like multi-agent support or extended rounds available in paid tiers. This drives adoption and upsells to professional users.
💬 Integration Tip
Ensure ACP runtime and OpenClaw are properly configured with registered AI agents before deployment to avoid spawn failures.
Scored Jun 19, 2026
Control desktop applications on Windows — launch, close, focus, resize, move windows, simulate keyboard/mouse input, manage processes, control VSCode, read clipboard, and capture screen info. Use when the user wants to interact with any running program, switch windows, type text, press shortcuts, open files in VSCode, manage running processes, or get system display information.
Conduct rigorous, adversarial code reviews with zero tolerance for mediocrity. Use when users ask to "critically review" my code or a PR, "critique my code", "find issues in my code", or "what's wrong with this code". Identifies security holes, lazy patterns, edge case failures, and bad practices across Python, R, JavaScript/TypeScript, SQL, and front-end code. Scrutinizes error handling, type safety, performance, accessibility, and code quality. Provides structured feedback with severity tiers (Blocking, Required, Suggestions) and specific, actionable recommendations.
Coding style memory that adapts to your preferences, conventions, and patterns for consistent coding.
Pragmatic coding standards for writing clean, maintainable code — naming, functions, structure, anti-patterns, and pre-edit safety checks. Use when writing new code, refactoring existing code, reviewing code quality, or establishing coding standards.
Claude Code integration for OpenClaw. This skill provides interfaces to: - Query Claude Code documentation from https://code.claude.com/docs - Manage subagents and coding tasks - Execute AI-assisted coding workflows - Access best practices and common workflows Use this skill when users want to: - Get help with coding tasks - Query Claude Code documentation - Manage AI-assisted development workflows - Execute complex programming tasks
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