@ai-native-camp

team-assemble decomposes complex tasks into parallel subtasks, assigns roles to expert models (opus for judgment, sonnet for execution), and orchestrates synchronous team execution with dependency management and cleanup.

day1-onboarding scaffolds claude code fundamentals across five blocks using a two-phase protocol: phase a introduces concepts and prompts execution, phase b delivers quizzes after confirmation. includes seven feature modules and terminal configuration.

day2-supplement-mcp delivers a structured two-phase mcp learning workflow with mandatory stop points between explanation and practice. covers concept, server setup, tool exploration, and popular servers via external reference files.

compound captures verified insights during work and accumulates them as yaml-frontmatter structured documents in a searchable knowledge base organized by category.

day4-wrap-and-analyze structures a session wrap protocol for ai native camp day 4, but lacks concrete procedural steps, specific trigger conditions, and recovery guidance for when analysis or content digestion fails.

day4-wrap-and-analyze guides learners through a 4-block curriculum on building session-wrap skills. it enforces a strict 2-phase protocol (explain-then-execute, quiz-on-return) but lacks concrete operational procedures and error handling.

day2-create-context-sync-skill outlines a multi-block curriculum for building custom context aggregation skills using mcp, subagents, and templated workflows. execution relies heavily on external reference files and assumes significant prior context from day 1.

day5-fetch-and-digest promises three content-fetching skills (tweet, youtube, digest) but the provided SKILL.md is a fragment with no procedure, decision logic, or output contract. terminates mid-glossary.

day1-test-skill is a minimal verification routine that outputs a success message when invoked via /day1-test-skill, intended to confirm the skill loading system is operational.

day3-clarify attempts to formalize requirement elicitation through structured questioning and hypothesis-driven options, but lacks executable procedure and concrete decision logic.

AI Native Camp Day 1 온보딩. Claude와 대화하면서 Claude Code를 익힌다. "1일차", "Day 1", "온보딩" 요청에 사용.

content-digest — an installable skill for AI agents, published by ai-native-camp/camp-2.

session-analyzer — an installable skill for AI agents, published by ai-native-camp/camp-2.

fetch-tweet — an installable skill for AI agents, published by ai-native-camp/camp-2.

history-insight — an installable skill for AI agents, published by ai-native-camp/camp-2.

session-wrap — an installable skill for AI agents, published by ai-native-camp/camp-2.

day2-mcp-and-context-sync — an installable skill for AI agents, published by ai-native-camp/camp-2.

day6-prd-submit — an installable skill for AI agents, published by ai-native-camp/camp-1.

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