autonomous-research-orchestrator 是做什么的？
一个本地优先的Codex技能，用于长时间跨度的实证研究：Brain–Luna编排、有界实验、持久化状态和上下文滚动。
一个本地优先的Codex技能，用于长时间跨度的实证研究：Brain–Luna编排、有界实验、持久化状态和上下文滚动。
该技能旨在通过本地优先的方式，支持在Codex平台上进行长时间跨度的实证研究。它利用Brain–Luna编排机制，由Brain组件负责高级规划和策略制定，Luna组件负责具体执行和实验管理。技能支持有界实验，允许明确定义实验范围、条件和终止标准，从而确保研究过程的可控性和可重复性。此外，它提供持久化状态管理，用于保存实验进度、中间结果和配置参数，并具备上下文滚动能力，以处理超出单一对话会话限制的长任务。通过这种方式，该技能使AI代理能够高效地处理复杂、多阶段的研究项目，而无需依赖外部云服务，特别适合需要在本地环境中进行长期迭代和深度分析的开发者。
npx skills add PilgrimCh/autonomous-research-orchestratorInstalled? 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 →
一个本地优先的Codex技能，用于长时间跨度的实证研究：Brain–Luna编排、有界实验、持久化状态和上下文滚动。
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.