learning-output-style
claudeInteractive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
hooks
Stateful coding tutor: hint-first, track-aware teaching.
Plugin tutor from marketplace oh-my-tutor in denismrvoljak/oh-my-tutor. Commands read from the repo's manifest — 2 days ago.
tutor-implementationGuide implementation or debugging work with attempt-first, hint-ladder tutoring grounded in the matched oh-my-tutor track files. Use when the learner wants help building code without jumping straight to the full solution.
tutor-learn-topicTeach a topic in small, track-aware steps using check-for-understanding questions, practice, and progress updates. Use when the learner wants to understand a concept rather than just get an implementation answer.
tutorControl oh-my-tutor tutor mode: on, off or status. Use when the user writes `@tutor on`, `@tutor off` or `@tutor status`, or asks to turn tutor mode on or off.
Interactive learning mode that requests meaningful code contributions at decision points (mimics the unshipped Learning output style)
hooks
Agentic QE (external: maintained in proffesor-for-testing/agentic-qe, pinned to v3.15.17): a quality-engineering fleet with 11 QE agents, 9 skills, 9 commands, the agentic-qe MCP server pinned to the plugin version, and the aqe-mod guard that refuses destructive operations on AQE learning data
9 skills · 9 commands · 11 agents · 1 MCP server
Cross-session memory and token savings for coding agents.
6 skills · 1 agent · 1 MCP server · hooks
Full Domino Data Lab platform support — workspaces, jobs, model deployment, experiment tracking, GenAI tracing, Spark/Ray/Dask, and app deployment for data science teams
26 skills · 4 commands · 3 agents · 1 MCP server
Claude Code native multi-agent orchestration with intelligent model routing across agents and skills. Zero learning curve. Maximum power.
85 skills · 20 commands · 19 agents · 1 MCP server · hooks
Turn any learning intent into a personalized Coursera experience. Asks three quick questions (topic, familiarity, preferred format), searches Coursera's catalog, and delivers the right next step — a course, hands-on project, short video, or live roleplay — then maps a path forward. Requires the Coursera connector for catalog tools.
1 skill
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