session-learn

[Command + Skill] Codex 顾问 - 调用 OpenAI Codex 获取第二意见，批判性评估后展示给用户

1 command

[Command + Skill] 辩论插件 - 主代理与子代理进行结构化辩论，发现盲点、探索多角度视角

1 command

[Command + Skill] 深度研究 - 多源搜索、交叉验证、关键结论精确 URL 引用、结构化输出的研究工作流

1 command

[Hook] 桌面通知钩子 - 任务完成时发送 Windows Toast 通知（WSL/Docker 环境）

hooks

[Command + Skill] 优化提示词：识别意图（含隐含 NFR）、结构化改写、分级可验证 DoD，防止执行跑偏

1 command

[Output Style] 自然写作 - 避免 24 种 AI 写作模式，生成更自然的文本

1 command

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