Agent Mentor
A skill for your LLM agent that creates lessons, grades practice, and schedules reviews.
Free - Free — distributed as plain files you run locally with your agent; no hosted service required.
About Agent Mentor
Agent Mentor is a skill for LLM agents (Claude Code, OpenAI Codex, opencode) that generates structured lessons, in-lesson checks, local grading of practice responses, and spaced-repetition review schedules. Lessons are emitted as plain Markdown-like files (examples use an agentmentor-check block) you keep and run with your agent, so content and student data remain under your control. Ideal for interactive, self-hosted coding learning workflows integrated into existing agent setups.
Key Features
- Generates structured, interactive lessons and multi-choice/problem checks
- Local grading of practice answers so data stays on your machine
- Schedules review using spaced-repetition-style reminders
- Outputs plain Markdown-like files (agentmentor-check blocks) you keep and version
- Integrates with Claude Code, OpenAI Codex and opencode agent environments
Who is this for?
Developers and educators using LLM agents who want self-hosted interactive coding lessons, automated grading, and review scheduling.
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FreeFree — distributed as plain files you run locally with your agent; no hosted service required.
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