autonomous-research-orchestrator 是做什麼的？
一個在地優先的 Codex 技能，專為長期實證研究設計：Brain–Luna 編排、有限實驗、持久化狀態與上下文切換。
一個在地優先的 Codex 技能，專為長期實證研究設計：Brain-Luna 編排、有限實驗、持久化狀態與上下文切換。
這個技能是為 Codex 平台設計的在地優先技能，旨在支援長期實證研究。它透過 Brain-Luna 編排機制，協同 AI 推理（Brain）與工具執行（Luna），實現結構化的實驗管理。技能內建有限實驗邊界，可防止資源過度消耗；持久化狀態功能讓研究進度在不同會話間得以保留；上下文切換機制則能有效管理長時任務中的資訊延續性。對於需要在本地環境進行反覆實驗與長期追蹤的開發者或研究人員，此技能能顯著提升工作流程的穩定性與效率。
npx skills add PilgrimCh/autonomous-research-orchestratorInstalled? 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 →
一個在地優先的 Codex 技能，專為長期實證研究設計：Brain–Luna 編排、有限實驗、持久化狀態與上下文切換。
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.