JSchOBL/agentic-ai-learning-journey
Skill Claude CodeCodex
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
Instructions file
Instructions for JSchOBL/agentic-ai-learning-journey, covering agentic ai learning journey, layout, conventions, non-negotiable and gotchas.
JSchOBL/agentic-ai-learning-journey
Agent
Audit a project's declared dependencies for unpinned versions, duplicates, and packages that are declared but never imported. Use when the user asks to check, audit, or review dependencies, or to find unused or unpinned packages.
JSchOBL/agentic-ai-learning-journey
Skill Claude CodeCodex
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 CodeCodex
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.