agent-recorder 是做什么的？
📊 将智能体框架日志转换为标准轨迹格式，便于在数据管道中进行分析与集成。
📊 将智能体框架日志转换为标准轨迹格式，便于在数据管道中进行分析与集成。
kezama/agent-recorder 是一个工具，旨在将来自不同智能体框架的日志文件转换为统一的、标准化的轨迹格式。该格式通常基于 JSON，使得数据可以轻松被各种数据管道（如 Apache Kafka、Flink 或简单的 Python 脚本）消费和分析。它的主要作用是消除框架之间的日志格式差异，为开发者和数据分析师提供一个一致的数据视图，从而简化智能体行为的追踪、调试和性能优化。该技能适用于任何生成结构化日志的智能体框架，并强调了与现代数据处理生态系统的兼容性。
npx skills add kezama/agent-recorderInstalled? 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 →
📊 将智能体框架日志转换为标准轨迹格式，便于在数据管道中进行分析与集成。
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.