foggy-ai-analysis 是做什么的？
正式的 Foggy AI 分析 Codex 技能包。
正式的 Foggy AI 分析 Codex 技能包。
Foggy AI Analysis 是一个针对 Codex 平台的正式技能包，旨在为开发者提供结构化的代码分析能力。该技能基于严格的 SKILL.md 文档定义，帮助 AI 代理在代码审查、问题检测或架构评估等场景中执行一致的分析流程。它通过规范化的指令集，确保 AI 输出的分析结果具有可重复性和可靠性，适用于需要高质量代码审查的团队。Codex 用户可直接引入此技能包，以增强 AI 在代码理解、逻辑推理和最佳实践推荐方面的表现，从而提升开发效率与代码质量。
npx skills add foggy-projects/foggy-ai-analysisInstalled? Explore more 研究与数据分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
正式的 Foggy AI 分析 Codex 技能包。
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
Agent skill repository discovered by 10x-chat research.
Review backend code for quality, security, maintainability, and best practices based on established checklist rules. Use when the user requests a review, analysis, or improvement of backend files (e.g., `.py`) under the `api/` directory. Do NOT use for frontend files (e.g., `.tsx`, `.ts`, `.js`). Supports pending-change review, code snippets review, and file-focused review.