O'Reilly Expert Intelligence
claudecodexA cited expert research toolkit for engineering decisions, delivery, reliability, security, and team growth.
12 skills · 1 MCP server
Builds a 30-60-90 day plan for stepping into an unfamiliar domain.
Plugin plan-domain-rampup from marketplace expert-intelligence-skills in oreillymedia/expert-intelligence-skills. Commands read from the repo's manifest — 19 days ago.
plan-domain-rampupCreates a staged, role-specific ramp plan into an unfamiliar technical domain using cited O'Reilly domain fundamentals and onboarding guidance. Use when the primary task is planning a manager's or individual contributor's early effectiveness—typically over the first 90 days—including learning priori
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
Sequences expert content into a learning path for a career transition.
1 skill · 1 MCP server
Produces a STRIDE threat model, flagging the risks teams commonly miss.
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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