ascend-tune-lab 是做什麼的？
用於部署參數調優、性能剖析與分析的代理/技能儲存庫。
用於部署參數調優、性能分析與剖析的代理/技能儲存庫。
little-planet/ascend-tune-lab 是一個專為開發者與 AI 代理設計的儲存庫，用於部署參數調優、性能剖析與分析技能。它支援在 Claude Code、Cursor、Codex 等代理人平台上運行，提供自動化的超參數搜尋、運行時效能監控與資料驅動的分析流程。透過此技能，代理可以根據指定的目標指標（如延遲或吞吐量）迭代調整模型或系統的參數，並記錄每次嘗試的結果以便後續比較。這對於需要持續優化機器學習模型或分散式系統的工程團隊尤其有用，能大幅減少手動調試的時間與精力。
npx skills add little-planet/ascend-tune-labInstalled? Explore more 研究與資料分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
用於部署參數調優、性能剖析與分析的代理/技能儲存庫。
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.