architecture-design

architecture-design is a skill for Claude Code, Codex from vignesh2027/AI-AGENT-SKILLS. It costs 14 tokens per session (747 once invoked), scanned A, original, MIT.

A method for deciding how a software system should be structured, including its components and important trade-offs. A trade-off is a choice where improving one quality may affect another, such as speed and cost.

In plain words
What is it for?
Use it before building multi-component systems, adding services, choosing technologies, or addressing repeated architecture failures.
Why use it?
It makes hard-to-reverse technical decisions explicit and keeps the design tied to real constraints.

Skill for Claude CodeCodex

Written for no agent in particular: nothing here depends on one.

Good fit Use it before building multi-component systems, adding services, choosing technologies, or addressing repeated architecture failures.

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Install with agentmods
npx agentmods add skills/vignesh2027/ai-agent-skills/architecture-design
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent
npx skills add vignesh2027/AI-AGENT-SKILLS --skill architecture-design
Clone the repo
git clone --depth 1 https://github.com/vignesh2027/AI-AGENT-SKILLS

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

agentmods badge for architecture-design

README.md
[![agentmods](https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/architecture-design/github.svg)](https://agentmods.dev/skills/vignesh2027/ai-agent-skills/architecture-design)
Your own site
<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/architecture-design"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/architecture-design/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

agentmods 80×15 button for architecture-design

Your own site · 80×15
<a href="https://agentmods.dev/skills/vignesh2027/ai-agent-skills/architecture-design"><img src="https://agentmods.dev/badge/skills/vignesh2027/ai-agent-skills/architecture-design.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 14 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 747 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
Origin original No closer match found in the catalogue.
Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

ModelPer sessionOnce invoked
Fable 5.1 $0.00014 $0.00747
Opus 5 $0.00007 $0.00374
Sonnet 5 $0.00003 $0.00149
Haiku 4.5 $0.00001 $0.00075

Measured 11d ago against content hash 4ae8f264c738, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-11, from the pricing page.

Security

Grade A, and why

architecture-design scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

skills/architecture-design/SKILL.md · 76 lines

How it starts

The opening of the file, as written. The whole thing — 76 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Overview

Architecture design is the discipline of making the decisions that are hard to reverse later. Good architecture is not the most elegant — it is the simplest design that satisfies constraints today and can be evolved tomorrow. Every architecture decision has costs; this skill makes them explicit.

When to Use

  • Before building any system with more than 2 components
  • When adding a new service to an existing system
  • When the existing architecture is causing repeated failures
  • Before selecting a technology stack

Process

Step 1: Establish the constraints

List: scale targets, latency requirements, consistency requirements, team size, deployment environment, budget, regulatory constraints. Architecture that ignores constraints is fiction.

Step 2: Identify the quality attributes

Rank the system's quality attributes in priority order: availability, consistency, latency, throughput, security, maintainability, cost. You cannot optimize all of them — make the trade-offs explicit.

Step 3: Define the component boundaries

Identify the major components and their responsibilities. Apply the Single Responsibility Principle at the system level: each component should own one thing well.

Step 4: Define the data flow

Draw how data moves through the system. Where does it originate? Where is it stored? Where is it transformed? Where does it exit? This reveals coupling and bottlenecks.

Step 5: Choose synchronous vs async communication

For each inter-component call: does the caller need the result immediately? If no, use async. Sync calls are coupling in disguise.

Step 6: Design for failure

For each component and connection: what happens when it fails? Design for partial failure, not just total failure. Document: retry strategy, circuit breaker, fallback, timeout.

Step 7: Plan the data model at boundaries

Define what data crosses each boundary. Avoid sharing databases between services. Define API contracts between components.

Step 8: Write an ADR (Architecture Decision Record)

Document: the decision, the context, the alternatives considered, the rationale, and the consequences. An architecture without ADRs cannot be maintained.

Read the full file on GitHub · 76 lines

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

  1. 11d ago First seen · 76 lines · 14 tokens per session scan A 4ae8f264c738

Subscribe to this mod's changes

architecture-design is a skill published in the GitHub repository vignesh2027/AI-AGENT-SKILLS (2 stars, last pushed 13d ago), licensed MIT. It adds 14 tokens to every session and 747 once invoked, about $0.0001 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

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