分析计算机科学研究成果 是做什么的？
一个用于分析计算机科学研究结果并提供可审计证据的严谨 Codex 技能。
用于分析计算机科学研究结果并提供可审计证据的严格 Codex 技能。
该技能专为 Codex 设计，用于严谨分析计算机科学研究结果，并生成可供审计的证据。它帮助开发者或研究人员系统地评估研究论文、实验数据或算法性能，确保分析过程的透明性和可追溯性。该技能支持多个平台（如 Codex CLI），其核心工作流程基于 SKILL.md 文档中的结构化指令。通过遵循明确的分析步骤，用户可以获得可靠的结论和证据，从而提升研究或开发工作的质量与可信度。
npx skills add Xiaotangyuan-xty/analyze-cs-research-resultsInstalled? 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 →
一个用于分析计算机科学研究结果并提供可审计证据的严谨 Codex 技能。
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.