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pathiec92pathiec92/claude-skills/skills/architecture-review/SKILL.md

architecture-review

Skill0 starsChanged 5 months agoMITView on GitHub

Review or design system architecture at a principal-engineer bar — evaluating a proposed design, diagram, or infrastructure plan across business value, reliability, scalability, security, operations, and cost. Use when the user says "review this architecture", "is this design sound", "what are the risks/SPOFs", asks about scaling to 10x/100x, disaster recovery, or capacity planning. NOT for source-code/diff review (use principal-code-review) and NOT for ML-specific systems (use ml-system-design).

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Projects with it also use create-stories, story-done and 10 more.

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  • lilangMaxSkill

    create-stories

    Break a single epic into implementable story files. Reads the epic, its GDD, governing ADRs, and control manifest. Each story embeds its GDD requirement TR-ID, ADR guidance, acceptance criteria, story type, and test evidence path. Run after /create-epics for each epic.

    Also in 11 projects that use this

  • lilangMaxSkill

    story-done

    End-of-story completion review. Reads the story file, verifies each acceptance criterion against the implementation, checks for GDD/ADR deviations, prompts code review, updates story status to Complete, and surfaces the next ready story from the sprint.

    Also in 11 projects that use this

  • +10 more from lilangMax

The file

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SKILL.md

Architecture Review Framework

Review the proposed architecture across every dimension. Produce the deliverables at the end — do not stop at implementation details; explain long-term consequences.

Business

  • Problem being solved
  • Cost impact
  • Time-to-market

Reliability

  • Single points of failure
  • Recovery strategy
  • Disaster recovery (RTO / RPO)

Scalability

  • Current scale
  • 10x scale
  • 100x scale (where does the design break first?)

Security

  • Authentication
  • Authorization
  • Secrets management

Operations

  • Monitoring
  • Alerting
  • Runbooks

Cost

  • Monthly cost estimate
  • Cost drivers
  • Optimization opportunities

Deliverables (always produce)

  1. Risks
  2. Trade-offs
  3. Recommended architecture
  4. Future evolution path

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