O'Reilly Expert Intelligence
claudecodexA cited expert research toolkit for engineering decisions, delivery, reliability, security, and team growth.
12 skills · 1 MCP server
Sequences expert content into a learning path for a career transition.
Plugin create-learning-plan from marketplace expert-intelligence-skills in oreillymedia/expert-intelligence-skills. Commands read from the repo's manifest — 19 days ago.
create-learning-planCreates a sequenced learning path from cited O'Reilly books, videos, courses, and live events, with practice activities and observable success markers. Use when the primary task is deciding what an individual or team should learn, in what order, and how to practice and demonstrate it—including curri
oreilly-expert-intelligenceconnects to: https://api.oreilly.com/api/expert/v1/mcp
A cited expert research toolkit for engineering decisions, delivery, reliability, security, and team growth.
12 skills · 1 MCP server
Diagnoses team structure problems against expert org-design frameworks.
1 skill · 1 MCP server
Compares implementation approaches with cited trade-offs and a code example.
1 skill · 1 MCP server
Turns a "should we?" into a memo-ready recommendation grounded in expert consensus.
1 skill · 1 MCP server
Produces a STRIDE threat model, flagging the risks teams commonly miss.
1 skill · 1 MCP server
Pressure-tests a plan into realistic timelines and delivery risks.
1 skill · 1 MCP server
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
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