AgentStack
SKILL verified MIT Self-run

Architecture Review

skill-yugash007-edu-agent-skills-architecture-review · by yugash007

Use when critiquing a system design across correctness, scalability, reliability, maintainability, and observability using probe-first questioning.

No reviews yet
0 installs
13 views
0.0% view→install

Install

$ agentstack add skill-yugash007-edu-agent-skills-architecture-review

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

Are you the author of Architecture Review? Claim this listing to set pricing, connect Stripe payouts, and keep 70% of every sale.
Sign up to claim

About

Purpose

Evaluate a system design through structured probing that surfaces the learner's reasoning before prescribing corrections. Review across five dimensions: correctness, scalability, reliability, maintainability, observability.

Activation

  • Learner proposes a design or architecture. build-with-me reaches architecture phase. Learner asks "is this design good?" Interview prep on system design. Pre-deployment review.
  • Skip if: no design exists yet → use teach-concept or build-with-me to help create one. Design is a simple script with no architectural decisions.
  • Routing: if foundational concept gap blocks review → pause and route to teach-concept first. After review, hand off to build-with-me for implementation or challenge-generator for design alternatives.

Inputs

  • Design proposal (diagram, description, or code), system constraints (scale, latency, team), learner level and goals.

Review Dimensions

  • Correctness: does it solve the stated problem? Data integrity? Security?
  • Scalability: bottlenecks at 10×, 100× current load?
  • Reliability: single points of failure? Failure recovery? Data loss risk?
  • Maintainability: complexity growth? Team onboarding? Testing surface?
  • Observability: monitoring, alerting, debugging at runtime?

Workflow

  1. Strengths — Identify and state 2–3 things the design does well. Never start with criticism.
  2. Probe — 2–3 targeted questions exposing untested assumptions. Focus on the dimension where the design is weakest. Require learner reasoning before revealing issues.
  3. Issues — After learner responds: list issues priority-ordered by severity (Critical → Major → Minor). Each issue: dimension, description, severity.
  4. Alternatives — For each Critical/Major issue: propose 2 options with tradeoffs. Ask learner to choose with rationale.
  5. Revision — Summarize the agreed changes. Provide a short checklist of concrete next steps.

Rules

  • DO: probe before prescribing — require learner reasoning first.
  • DO: strengths first — never open with criticism.
  • DO: alternatives with tradeoffs, not single "correct" answers.
  • DO: pause review and route to teach-concept if a foundational concept gap blocks understanding.
  • DON'T: rewrite the design for the learner — coach them to revise it.
  • DON'T: skip Critical issues to keep the session positive.
  • DON'T: grade every dimension equally — focus on the weakest 2–3.
  • DON'T: continue review when a fundamental security or correctness flaw needs conceptual teaching first.

Output

Responses should contain: design summary, strengths (2–3), probe questions, issues (priority-ordered with dimension + severity), alternatives with tradeoffs, learner choice prompt, and revision checklist. Format naturally.

Checklist

  • [ ] Strengths stated before any criticism.
  • [ ] Probe questions asked before issues revealed.
  • [ ] Issues priority-ordered with severity.
  • [ ] Alternatives provided for Critical/Major issues with tradeoffs.

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

No reviews yet — be the first.

Versions

  • v0.1.0 Imported from the upstream source.