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systems-design-review-methodology Skill

AI Agent SkillDesign & MediaHTMLOpen source

Use when the /systems-design-review mode is active. 7-step design review methodology -- understand the design, classify the system, evaluate against codebase, adversarial analysis, tradeoff validation, synthesis, and action items. Governs conversation flow, delegation patterns, and user validation checkpoints. Published by microsoft in amplifier-bundle-systems-design.

What is systems-design-review-methodology Skill?

Use when the /systems-design-review mode is active. 7-step design review methodology -- understand the design, classify the system, evaluate against codebase, adversarial analysis, tradeoff validation, synthesis, and action items. Governs conversation flow, delegation patterns, and user validation checkpoints. Published by microsoft in amplifier-bundle-systems-design. This profile combines repository metadata with install, compatibility, and usage signals so developers can quickly decide whether it fits their agent workflow before opening the source repository.

Trust signal
95/100
Maintenance signal
90/100

Automated repository signals based on public metadata such as recency, license, installation evidence, and adoption. These are not a security audit or endorsement.

Key capabilities

  • Includes SKILL.md support
  • Reusable instructions support
  • Data analysis
  • Design and media
  • Data analysis use cases
  • Design and media use cases

Technical details

Copy skill directory
  • Install or run with Copy skill directory

When to use systems-design-review-methodology Skill

  • Use it for data analysis.
  • Use it for design and media.

Built with

HTMLCopy skill directory

Editorial notes

Source

  • Creator: microsoft
  • Repository: microsoft/amplifier-bundle-systems-design
  • Skill file: skills/systems-design-review-methodology/SKILL.md

What it does

Use when the /systems-design-review mode is active. 7-step design review methodology -- understand the design, classify the system, evaluate against codebase, adversarial analysis, tradeoff validation, synthesis, and action items. Governs conversation flow, delegation patterns, and user validation checkpoints.

Skill instructions

Design Review Methodology Companion skill for the /systems-design-review mode. The mode gates tools; this skill governs behavior. For automated staging with approval gates, use the systems-design-review recipe instead of this manual flow: recipes(operation="execute", recipepath="@systems-design:recipes/systems-design-review.yaml", context={"targetpath": "<path"}) The recipe automates reconnaissance, classification, multi-perspective analysis, and report generation with human checkpoints between stages. Core Rule You handle the CONVERSATION. Agents handle the ANALYSIS. You guide the user through the review, synthesize findings, and facilitate decisions. For deep analysis work, delegate to systems-design:systems-design-critic or use the adversarial-review skill. Step Flow Step 1: Understand the Design Before any critique, reconstruct the designer's reasoning: 1. Read the design document or referenced files thoroughly. 2. Identify the stated goals, constraints, and tradeoffs. 3. If a code

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Frequently asked questions

What is systems-design-review-methodology?

systems-design-review-methodology is a open-source AI agent skill with Copy skill directory. Use when the /systems-design-review mode is active. 7-step design review methodology -- understand the design, classify the system, evaluate against codebase, adversarial analysis.

Who is systems-design-review-methodology best for?

systems-design-review-methodology is best for reusing agent instructions, scripts, and references, data analysis workflows, design and media workflows.

How do I install systems-design-review-methodology?

Install or run systems-design-review-methodology using Copy skill directory. Check systems-design-review-methodology for the latest setup command.

Is systems-design-review-methodology actively maintained?

systems-design-review-methodology may need a closer maintenance check before production use.

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Last commit
2 months ago
Repository age
3 months
License
MIT

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