ai-native-camp/camp-1▌

Build and analyze coding sessions with custom multi-agent skills and session insights. \n \n Create a custom session-wrap skill from scratch using a step-by-step guided workflow across five blocks \n Learn multi-agent patterns through hands-on implementation of parallel task execution and 2-phase pipelines \n Analyze session history with history-insight to extract insights from past coding sessions \n Validate skill execution and session integrity using session-analyzer for verification and debu

이 스킬이 호출되면 아래 STOP PROTOCOL을 반드시 따른다.

Fetch X/Twitter tweets with summaries, insights, and full Korean translations via a three-stage pipeline. \n \n Extracts tweet text, author info, and engagement metrics (likes, retweets, views) using the FxEmbed API without JavaScript execution \n Supports multiple URL formats: x.com, twitter.com, fxtwitter.com, and fixupx.com \n Delivers insights in three stages: concise summary with author context, three-point analysis (core message, industry implications, personal relevance), then full natura

Template-based PRD authoring, format validation, and GitHub PR submission guidance for Day 6. \n \n Guides participants through environment checks (git, gh CLI, repo access), GitHub ID confirmation, and PRD creation or validation in under 15 minutes \n Provides a structured PRD template covering problem definition, skills inventory, and change history; validates eight required sections before submission \n Automates git workflow (branch creation, commit, push) and opens a GitHub PR with a single

Build three content-fetching and learning skills by creating fetch-tweet, fetch-youtube, and content-digest from scratch. \n \n Learn a two-phase workflow (EXPLAIN + EXECUTE in turn 1, QUIZ in turn 2) that enforces hands-on practice before assessment \n Create fetch-tweet to retrieve and translate X/Twitter content via API, then fetch-youtube to extract and correct YouTube captions using yt-dlp and web search \n Build content-digest with Quiz-First learning methodology, which improves retention

Structured Day 1 onboarding for Claude Code with strict two-phase learning blocks. \n \n Enforces a rigid STOP PROTOCOL: each block spans exactly two turns (Phase A: explain + execute; Phase B: quiz + feedback), preventing mixed instruction and assessment in a single turn \n Covers five progressive blocks: Setup, Experience, Why, What (7 sub-features), and Basics, with official documentation URLs displayed at each phase start \n Includes special handling for Block 3-Break (terminal and status li

이 스킬이 호출되면 아래 STOP PROTOCOL을 반드시 따른다.