ユーザーが「コンテンツ整理」「記事要約」「PDF学習」「動画整理」「ツイート整理」「要約して」などと依頼したり、YouTube URL、X/Twitter URL、ウェブページURL、PDFファイルを提供した際に使用します。YouTube（文字起こし）、X/Twitter（fetch-tweetスキル経由）、ウェブページ（ブラウザ経由の全コンテンツ）、PDF（ページごとのテキスト＋画像）をサポートします。3つの難易度レベルにわたる9問のクイズを生成する、クイズファースト学習を提供します。
このスキルは、ユーザーが提供する様々なオンラインコンテンツ（YouTube動画、X/Twitterのツイート、ウェブページ、PDFファイル）を自動的に取得し、構造化された学習体験を生成します。特に、単なる要約ではなく「クイズファースト学習」を採用しており、コンテンツの内容に基づいて3つの難易度レベル（初級、中級、上級）で合計9問のクイズを生成する点が特徴です。これにより、ユーザーは受動的にコンテンツを読むだけでなく、能動的に理解度を確認しながら学習を進めることができます。サポートするプラットフォームは多岐にわたり、YouTubeの場合は動画の文字起こしを、X/Twitterの場合はfetch-tweetスキルを利用してツイート本文を、ウェブページの場合はブラウザを使用して全文を、PDFの場合はページごとのテキストと画像を解析します。日本語を含む多言語のコンテンツにも対応しており、学習効果を最大化するための設計がなされています。
npx skills add https://github.com/ai-native-camp/camp-2/tree/main/skills/content-digestInstalled? Explore more 研究＆データ分析 skills: affaan-m/uspto-database, affaan-m/scholar-evaluation, affaan-m/literature-review · View all 6 →
このスキルは、ユーザーが「コンテンツ整理」「記事要約」「PDF学習」「動画整理」「ツイート整理」「digest」「summarize」「要約して」と依頼したり、YouTube URL、X/Twitter URL（x.com、twitter.com）、ウェブページURL、PDFファイルを分析のために提供した際に使用します。 YouTube（文字起こし）、X/Twitter（fetch-tweetスキル経由）、ウェブページ（ブラウザ経由の全コンテンツ）、PDF（ページごとのテキスト＋画像）をサポートします。 3つの難易度レベルにわたる9問のクイズを生成する、クイズファースト学習を提供します。
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.