此技能應用於當使用者要求「內容整理」、「文章摘要」、「PDF 學習」、「影片整理」、「推文整理」、「digest」、「summarize」、「整理一下」，或提供 YouTube 網址、X/Twitter 網址、網頁網址或 PDF 檔案進行分析時使用。支援 YouTube（逐字稿）、X/Twitter（透過 fetch-tweet 技能）、網頁（透過瀏覽器取得完整內容）及 PDF（每頁文字 + 圖片）。產生 9 題 3 個難度等級的測驗優先學習內容。
此技能專為 AI 代理（如 Claude Code、Cursor、Codex 等）設計，用於深度消化各種數位內容。當使用者要求「內容整理」、「文章摘要」、「PDF 學習」或提供 YouTube、X/Twitter、網頁網址或 PDF 檔案時，此技能會自動觸發。它透過內建機制取得內容：YouTube 擷取逐字稿，X/Twitter 利用 fetch-tweet 技能，網頁透過瀏覽器取得完整內文，PDF 則解析每頁文字與圖片。處理完成後，技能會以「測驗優先」的方式輸出學習成果：產生 9 道涵蓋 3 種難度等級（例如初階、中階、進階）的問題，幫助使用者主動思考與記憶。這讓開發者或研究人員能有效率地從大量資訊中提煉關鍵知識，並透過自我測驗來強化理解，特別適合用於技術文件閱讀、論文分析或線上課程的複習。
npx skills add https://github.com/ai-native-camp/camp-2/tree/main/skills/content-digestInstalled? 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 →
此技能應用於當使用者要求「內容整理」、「文章摘要」、「PDF 學習」、「影片整理」、「推文整理」、「digest」、「summarize」、「整理一下」，或提供 YouTube 網址、X/Twitter 網址 (x.com, twitter.com)、網頁網址或 PDF 檔案進行分析時使用。支援 YouTube（逐字稿）、X/Twitter（透過 fetch-tweet 技能）、網頁（透過瀏覽器取得完整內容）及 PDF（每頁文字 + 圖片）。產生 9 題 3 個難度等級的測驗優先學習內容。
This repo contains 11 individual skills — each has its own dedicated page.
작업 중 발견한 인사이트를 구조화된 문서로 축적하여 나만의 지식 베이스를 복리로 성장시킨다
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 "analyze session", "세션 분석", "evaluate skill execution", "스킬 실행 검증", "check session logs", "로그 분석", provides a session ID with a skill path, or wants to verify that a skill executed correctly in a past session. Post-hoc analysis of Claude Code sessions to validate skill/agent/hook behavior against SKILL.md specifications.
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.