session-analyzer 是做什么的？
当用户请求“分析会话”、“세션 분석”、“评估技能执行”、“스킬 실행 검증”、“检查会话日志”、“로그 분석”，或提供会话ID和技能路径，或想要验证过去会话中技能是否正确执行时，应使用此技能。对Claude Code会话进行事后分析，以验证技能/代理/钩子的行为是否符合SKILL.md规范。
此技能用于对Claude Code会话进行事后分析，以验证技能/代理/钩子的行为是否符合SKILL.md规范。当用户请求“分析会话”、“세션 분석”、“评估技能执行”、“스킬 실행 검증”、“检查会话日志”、“로그 분석”，或提供会话ID和技能路径，或想要验证过去会话中技能是否正确执行时，应使用此技能。
此技能专为Claude Code设计，用于对已完成会话进行事后分析，确保代理、技能或钩子的执行行为与SKILL.md规范完全一致。它通过扫描会话日志、提取执行细节并与预定义的预期行为对比，自动生成验证报告。支持多语言触发词（如中文、韩语、英文），并接受会话ID和技能路径作为输入。主要用途包括调试代理行为、审计技能执行完整性、生成合规性报告，以及为开发者提供可操作的改进建议。适用于所有依赖Claude Code执行自动化任务的开发工作流，尤其是需要严格遵循规范的项目。
npx skills add https://github.com/ai-native-camp/camp-2/tree/main/skills/session-analyzerInstalled? 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 →
当用户请求“分析会话”、“세션 분석”、“评估技能执行”、“스킬 실행 검증”、“检查会话日志”、“로그 분석”，或提供会话ID和技能路径，或想要验证过去会话中技能是否正确执行时，应使用此技能。对Claude Code会话进行事后分析，以验证技能/代理/钩子的行为是否符合SKILL.md规范。
This repo contains 11 individual skills — each has its own dedicated page.
작업 중 발견한 인사이트를 구조화된 문서로 축적하여 나만의 지식 베이스를 복리로 성장시킨다
This skill should be used when the user asks to "콘텐츠 정리", "아티클 요약", "PDF 학습", "영상 정리", "트윗 정리", "digest", "summarize", "정리해줘", or provides a YouTube URL, X/Twitter URL (x.com, twitter.com), webpage URL, or PDF file for analysis. Supports YouTube (transcript), X/Twitter (via fetch-tweet skill), webpage (full content via browser), and PDF (text + image per page). Generates Quiz-First learning with 9 questions across 3 difficulty levels.
AI Native Camp Day 1 온보딩. Claude와 대화하면서 Claude Code를 익힌다. "1일차", "Day 1", "온보딩" 요청에 사용.
Day 1 테스트 스킬. "/day1-test-skill" 입력 시 실행된다. Skill이 어떻게 동작하는지 직접 체험하는 용도.
AI Native Camp Day 2 MCP & Context Sync. MCP를 배우고 나만의 Context Sync 스킬을 만든다. "2일차", "Day 2", "MCP", "context sync" 요청에 사용.
AI Native Camp Day 3 Clarify & GitHub. Clarify 플러그인으로 모호한 요구사항을 명확하게 만들고, 나만의 스킬을 만들고, PRD를 작성하여 GitHub에 첫 PR을 제출한다. "3일차", "Day 3", "clarify", "클래리파이", "PRD", "GitHub" 요청에 사용.
AI Native Camp Day 4 Wrap & Analyze + 콘텐츠 소화. session-wrap 스킬을 직접 만들고, history-insight와 session-analyzer로 세션을 분석하고, 콘텐츠 소화 파이프라인을 체험한다. "4일차", "Day 4", "wrap", "세션 분석", "session wrap", "세션 래핑", "fetch", "콘텐츠" 요청에 사용.
This skill should be used when the user asks to "트윗 가져와", "트윗 번역", "X 게시글 읽어줘", "tweet fetch", "트윗 내용", "트윗 원문", or provides an X/Twitter URL (x.com, twitter.com) and wants to read, translate, or analyze the tweet content. Also useful when other skills need to fetch tweet text programmatically.
This skill should be used when user wants to access, capture, or reference Claude Code session history. Trigger when user says "capture session", "save session history", or references past/current conversation as a source - whether for saving, extracting, summarizing, or reviewing. This includes any mention of "what we discussed", "today's work", "session history", or when user treats the conversation itself as source material (e.g., "from our conversation").
This skill should be used when the user asks to "wrap up session", "end session", "session wrap", "/wrap", "document learnings", "what should I commit", or wants to analyze completed work before ending a coding session.
This skill should be used when the user asks to "팀 구성해줘", "team assemble", "전문가 팀으로 해줘", "팀으로 해줘", "swarm", "병렬로 전문가 팀", or wants to decompose a complex task into specialist roles executed via TeamCreate. Also triggers when user describes a task clearly benefiting from parallel expert execution.
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.