thinking-learning-pyramid

10/10/10 法则 — 10分钟/10个月/10年后审视，缓解短期情绪干扰

1 skill

3C 战略三角 — 公司/顾客/竞争对手，战略整合分析框架

1 skill

4P 营销组合 — 产品/价格/渠道/促销，营销战术框架

1 skill

5W2H 思维模型 — What/Why/Where/When/Who/How/How much，全面描述问题清单

1 skill

5 Why 分析法 — 连问五个为什么，挖出根本原因的分析方法

1 skill

7C 原则 — 清晰、简洁、具体、准确、连贯、完整、礼貌，书面沟通质量标准

1 skill

Adds educational insights about implementation choices and codebase patterns (mimics the deprecated Explanatory 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