architecture-review
Review an existing or proposed architecture against requirements, boundaries, risks, operability, and tradeoffs.
Skill by Mr-Wolv
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Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
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About
Use cases: design
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/architecture-review
What's inside
- Skill name
architecture-review- Description
- Review an existing or proposed architecture against requirements, boundaries, risks, operability, and tradeoffs. Use when assessing architecture quality, reviewing design proposals, or checking whether a system structure fits its constraints.
- License
- MIT
- Instructions
- 211 lines in SKILL.md · view on GitHub
Files (1)
- SKILL.md
SKILL.md (first lines)
# Architecture Review Review an architecture as a system of decisions, boundaries, and tradeoffs. Use this skill to evaluate whether an existing or proposed architecture is a good fit for the problem it is supposed to solve. The goal is not to redesign everything. The goal is to identify the most important structural strengths, weaknesses, risks, and mismatches. ## When to use - Reviewing a proposed system design before implementation - Assessing whether an existing architecture still fits current requirements - Evaluating module boundaries, dependency direction, and responsibility allocation - Reviewing a service decomposition, integration model, or deployment shape - Comparing architecture options against constraints like scale, reliability, cost, security, or team capacity - Preparing architecture feedback for a document, ADR, proposal, or technical review ## Boundary Use this skill to evaluate an existing or proposed architecture as a whole-system or multi-boundary structure. Use `design-review` instead when the artifact under review is a more local solution shape such as a module design, workflow, interface, or feature proposal rather than the architecture of the wider system. Use synthesis skills such as `architecture-patterns`, `api-and-interface-design`, `design-an-interface`, or `codebase-design` when the primary need is to create or reshape a design rather than to review one. ## When not to use - Pure code-quality review of a diff; use code review skills instead - Writing the initial architecture from scratch; use architecture/design skills for synthesis - Producing a formal ADR only; use ADR-focused skills for decision recording ## Review dimensions Evaluate the architecture across these dimensions. ### 1. Problem fit Check whether the structure matches the actual problem. Questions: - What requirements is this architecture trying to satisfy? - Which constraints appear to be primary: scale, latency, reliability, compliance, cost, delivery speed, team familiarity? - Is the architecture proportionate to the problem, or is it underpowered or overengineered? - Does it solve today's problem only, or is it making justified bets on future needs? ### 2. Boundaries and cohesion Check whether responsibilities are placed sensibly. Questions: - Are modules/services/components organized around cohesive responsibilities? - Are boundaries explicit, or are concepts leaking across layers? - Do modules change for one reason, or many unrelated reasons? - Is shared logic truly shared, or duplicated with slight drift? ### 3. Dependencies and coupling Check whether dependency flow supports maintainability. Questions: - Do dependencies point in the expected direction? - Are there circular or backchannel dependencies? - Are shared modules becoming dumping grounds? - Does any area create excessive coordination cost because too many parts depend on it? ### 4. Operability Check whether the system can be run and supported in practice. Questions: - Can the architecture be monitored, debugged, and operated by the actual team? - Are failure modes visible and diagnosable? - Are deployment, rollback, and recovery paths practical? - Does the design introduce operational burden disproportionate to its value? ### 5. Reliability and failure handling Check how the design behaves under stress and failure. Questions: - What are the critical dependencies and single points of failure? - How does the system degrade when dependent components fail? - Are retry, timeout, idempotency, fallback, or backpressure concerns handled where needed? - Are consistency expectations explicit and realistic? ### 6. Security and trust boundaries Check whether trust boundaries are visible and defended. Questions: - Where does untrusted input enter the system? - Are authentication, authorization, and secrets-handling concerns placed in the right layers? - Are data flows across trust boundaries explicit? - Does the architecture centralize too much privilege in one place? ### 7. Delivery and evolution Check whether the architecture can change safely. Questions: - Can teams modify one area without destabilizing unrelated areas? - Does the architecture support incremental delivery? - Are there clear seams for refactoring or replacement? - Will future changes require broad cross-cutting edits? ## Review workflow ### Step 1: Establish context Before judging the architecture, gather the minimum context: - system purpose - main requirements and constraints - scale assumptions
From Mr-Wolv/Skill_Playground_Bakr101_2026, MIT.
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Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Jul 7, 2026 (3 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from Mr-Wolv
- 0.479score
architecture-patterns
Mr-Wolv
Implement proven backend architecture patterns including Clean Architecture, Hexagonal Architecture, and Domain-Driven Design.
SkillCFreshness: CClaude Code +9 - 0.476score
api-contract-testing
Mr-Wolv
Verify API contracts between services to ensure compatibility and prevent breaking changes.
SkillCFreshness: CClaude Code +9 - 0.474score
architecture-decision-records
Mr-Wolv
Write and maintain formal Architecture Decision Records (ADRs) for significant technical decisions.
SkillCFreshness: CClaude Code +9 - 0.474score
assumption-and-bias-check
Mr-Wolv
Surface hidden assumptions, cognitive biases, blind spots, and overconfidence before a decision or output stands.
SkillCFreshness: CClaude Code +9 - 0.472score
skill-playground
Mr-Wolv
Curated collection of 241 skills — testing, architecture, DevOps, documentation, code quality, and engineering mindset — mirrored with global skill store
SkillCFreshness: CClaude Code +9 - 0.471score
adjacent-disciplines
Mr-Wolv
Systems engineering, HCI, cognitive psychology, game theory, control theory, organizational behavior, technical leadership
SkillCFreshness: CClaude Code +9
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architecture-review skill. Agent Mart. https://agentmart.dev/skills/mr-wolv-architecture-review (last updated 2026-10-24)