ascend-tune-lab 是做什么的？
用于部署参数调优、性能剖析和分析的智能体/技能仓库。
用于部署参数调优、性能分析和剖析的智能体/技能仓库。
little-planet/ascend-tune-lab 是一个专注于部署智能体（agents）和技能（skills）的仓库，旨在支持参数调优、性能剖析（profiling）和深度分析。它帮助开发者和 AI 智能体用户高效地管理和运行针对特定任务的调优工作流，尤其适用于需要反复调整超参数或分析系统性能的场景。该技能支持常见的 AI 智能体平台（如 Claude Code、Cursor 等），通过提供预定义的调优和分析模板，简化了配置和调试过程。其核心价值在于将复杂的参数优化流程抽象化、自动化，使得用户无需手动编写大量脚本即可快速迭代模型或系统的性能配置。
npx skills add little-planet/ascend-tune-labInstalled? 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 →
用于部署参数调优、性能剖析和分析的智能体/技能仓库。
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.