skill-dialog-distill은(는) 무엇을 하나요?
对话沉淀 skill · 老板/lead 对话产物蒸馏到 4 真源 (CLAUDE.md / memories / skills / agents)
对话沉淀技能 · 将老板/领导对话产物蒸馏到四大真源（CLAUDE.md / memories / skills / agents）
yarnovo/skill-dialog-distill 是一个 AI 智能体技能，专门用于处理和沉淀团队内部对话（特别是与老板或领导的关键讨论）。它能够自动从对话中提取高价值信息，并将其蒸馏为结构化的知识产物，写入四个核心“真源”：CLAUDE.md（项目或配置说明）、memories（记忆文件，如上下文或偏好）、skills（技能文件，即此技能本身）以及 agents（代理定义）。该技能主要面向使用 Claude Code 或其他支持 skills 目录结构的 AI 编码代理平台（如 Cursor， Codex）的开发者。其工作流程通常包括：监听对话内容，利用 AI 模型进行理解和提炼，然后自动更新对应文件。这对于需要长期维护项目上下文、积累组织知识和他人经验的团队来说非常有用，能有效减少重复沟通和信息丢失，确保关键决策和经验教训被持久化。
npx skills add yarnovo/skill-dialog-distillInstalled? Explore more 연구 & 데이터 분석 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
对话沉淀 skill · 老板/lead 对话产物蒸馏到 4 真源 (CLAUDE.md / memories / skills / agents)
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.