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Found 6 Skills
AI-powered code review using CodeRabbit. Default code-review skill. Trigger for any explicit review request AND autonomously when the agent thinks a review is needed (code/PR/quality/security).
Repository packaging for AI/LLM analysis. Capabilities: pack repos into single files, generate AI-friendly context, codebase snapshots, security audit prep, filter/exclude patterns, token counting, multiple output formats. Actions: pack, generate, export, analyze repositories for LLMs. Keywords: Repomix, repository packaging, LLM context, AI analysis, codebase snapshot, Claude context, ChatGPT context, Gemini context, code packaging, token count, file filtering, security audit, third-party library analysis, context window, single file output. Use when: packaging codebases for AI, generating LLM context, creating codebase snapshots, analyzing third-party libraries, preparing security audits, feeding repos to Claude/ChatGPT/Gemini.
Use when working with error debugging multi agent review
Pack entire codebases into AI-friendly files for LLM analysis. Use when consolidating code for AI review, generating codebase summaries, or preparing context for ChatGPT, Claude, or other AI tools.
Execute Gemini CLI for AI-powered code analysis and generation. Use when you need to leverage Google's Gemini models for complex reasoning tasks.
Automated commit analysis and regression detection for AItrader. 自动化提交分析和回归检测。 Use this skill when: - Running regression checks after code changes (代码修改后运行回归检测) - Analyzing git commit history (分析 git 提交历史) - Using AI to analyze code changes (使用 AI 分析代码变更) - Checking if fix commits are still correctly applied (检查修复是否正确应用) - Before merging PRs (合并 PR 前) Keywords: commit, regression, analysis, git, fix, validation, AI, 提交, 回归, 分析