A hands-on lab for learning to write CLAUDE.md files and Claude Code setups — you write the context, the agent builds the code, a coach reviews your work.
This repository also configures its own agents. See what agentic-ai-learning-journey tells them →
JSchOBL/agentic-ai-learning-journey
Skill Claude Code
Reviews a learner's hand-written Claude Code setup for a level of the Agentic AI Learning Journey lab — the CLAUDE.md always, plus any skill, hook, settings.json, subagents, or MCP server the level asks them to write — identifies missing or weak elements against a rubric, challenges the learner to fix them, and…
JSchOBL/agentic-ai-learning-journey
Skill Claude Code
Format Python source files with Black and isort, then report any remaining lint issues. Use when the user asks to format, clean up, tidy, or fix the style of Python code.
JSchOBL/agentic-ai-learning-journey
Skill Claude Code
Run the pytest suite, report pass/fail counts and coverage, and identify untested code. Use when the user asks to run tests, check test coverage, or verify that changes didn't break anything.