AI Native Camp
Official@ai-native-camp · Korea, South
Facilitates technical session analysis, knowledge base documentation, and cross-platform data aggregation for engineering teams.
Agent Skills by AI Native Camp
Showing 12 vetted skills indexed across 1 GitHub repositories.
history-insight
Process JSONL session files to extract and summarize Claude Code conversations.
day1-test-skill
Verifies Claude Code Skill system activation and content delivery via a test Skill.
content-digest
Generate summaries, key insights, and interactive quizzes from YouTube, web pages, PDFs, and X/Twitter posts.
session-wrap
Analyze completed coding sessions and generate commit messages with Git.
day3-clarify
Guide users through clarifying ambiguous requirements and submitting PRDs to GitHub.
day2-mcp-and-context-sync
Aggregate Slack, Notion, Linear, and Google Calendar data into a Markdown report.
team-assemble
Assemble AI agent teams and orchestrate tasks with TeamCreate and TaskCreate tools.
day4-wrap-and-analyze
Analyzes coding sessions and extracts learning points with multi-agent patterns.
session-analyzer
Validate Claude Code session execution against SKILL.md definitions from debug logs.
compound
Document validated work insights into a YAML-structured knowledge base.
day1-onboarding
Guide new users through Claude Code core concepts and features.
fetch-tweet
Fetch tweet content, author details, and engagement data via FxEmbed API.
Frequently Asked Questions About AI Native Camp
FAQPage SchemaWhat specific tasks can be performed using these capabilities?▼
These capabilities enable the extraction of insights from JSONL session logs, the generation of Git commit messages, the aggregation of data from Slack, Notion, and Linear into Markdown reports, and the creation of structured YAML knowledge bases from validated work.
Which personas benefit most from these technical functions?▼
Software engineers, technical leads, and project managers benefit most from these functions. They are designed for teams requiring systematic session analysis, automated documentation of coding progress, and centralized reporting across disparate project management and communication platforms.
What are the prerequisites for running these session analysis functions?▼
Execution requires a configured environment capable of processing JSONL session logs and accessing the specified platforms like Slack, Notion, and Linear. Users must ensure their session logs are formatted correctly to allow for accurate extraction of learning points and commit message generation.