claudecodex

O'Reilly Expert Intelligence

A cited expert research toolkit for engineering decisions, delivery, reliability, security, and team growth.

7 on GitHubby O'Reilly Mediav0.3.0Apache-2.0updated 20 days agoproductivity
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Plugin oreilly-expert-intelligence from marketplace expert-intelligence-skills in oreillymedia/expert-intelligence-skills. Commands read from the repo's manifest — 19 days ago.

What it installs

Skills (12)

  • assess-team-structure

    Assesses engineering-team health and structural friction using team evidence and cited O'Reilly leadership and organization-design sources. Use when a leader asks about delivery health, ownership, workload, coordination, knowledge concentration, team size, restructuring, or needs a team-level quarte

  • compare-implementation-approaches

    Compares concrete implementation approaches and recommends one for the user's technical constraints using cited O'Reilly sources. Use when the primary task is choosing how to implement a bounded capability—such as selecting an algorithm, data structure, API pattern, caching strategy, concurrency mod

  • create-decision-brief

    Creates a memo-ready recommendation for a significant adoption, migration, investment, or organization decision using cited O'Reilly consensus, dissent, prerequisites, and failure modes. Use when the primary task is a decision-maker-facing "should we?", "which option?", or "under what conditions?" d

  • create-learning-plan

    Creates 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

  • evaluate-security-risk

    Creates a structured defensive threat model for a proposed, changing, or existing service using cited O'Reilly security sources. Use when the primary task is identifying assets, data flows, trust boundaries, threats, prioritized mitigations, or STRIDE coverage for authentication, tokens, APIs, uploa

  • forecast-project-delivery

    Forecasts a realistic delivery range from a backlog, design document, or scope description using cited O'Reilly estimation and risk frameworks. Use for project estimates, deadline feasibility, timeline commitments, or schedule-risk reviews; not for diagnosing general team health or recommending a te

  • organizational-intelligence-blueprint

    Creates an organizational intelligence blueprint — maps where a team's knowledge lives, connects those systems, generates a custom reasoning skill file, and grounds analysis in named expert frameworks from O'Reilly. Use when someone has read (or not read) O'Reilly CTO Andrew Odewahn's piece on build

  • plan-domain-rampup

    Creates 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

  • plan-production-ready-ai

    Plans a production deployment for an ML or AI model using cited O'Reilly MLOps sources, covering versioning, release strategy, monitoring, rollback, and staged capability growth. Use when a team needs a right-sized model deployment, rollout, drift-monitoring, or MLOps plan; not for choosing or train

  • plan-service-reliability

    Creates a user-centered service reliability and SLO operating plan using cited O'Reilly SRE sources. Use when the primary task is defining or revising SLIs, candidate SLO targets, error-budget policy, degraded or fallback behavior, adoption steps, or stakeholder agreement for a service—with or witho

  • review-architecture-decision

    Reviews system-level or expensive-to-reverse design decisions using cited O'Reilly architecture sources, identifying sound choices, fragile assumptions, failure modes, future costs, and unresolved questions. Use when the primary task is evaluating architecture trade-offs involving messaging, consist

  • review-technical-proposal

    Reviews a submitted or described technical proposal against cited O'Reilly practitioner sources, identifying strengths, unsupported claims, hidden assumptions, underestimated risks, material omissions, and specific questions needed before approval. Use when the primary task is evaluating the proposa

MCP servers (1)

  • oreilly-expert-intelligence

    connects to: https://api.oreilly.com/api/expert/v1/mcp

View source on GitHub learning.oreilly.com

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Team Assessment

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Diagnoses team structure problems against expert org-design frameworks.

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Compares implementation approaches with cited trade-offs and a code example.

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Decision Brief

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Turns a "should we?" into a memo-ready recommendation grounded in expert consensus.

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Learning Plan

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Sequences expert content into a learning path for a career transition.

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Produces a STRIDE threat model, flagging the risks teams commonly miss.

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Pressure-tests a plan into realistic timelines and delivery risks.

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