amaa-modularization-ops

amaa-modularization-ops is a skill for Claude Code from Emasoft/ai-maestro-architect-agent. It costs 36 tokens per session (543 once invoked), scanned A, original, MIT.

A set of methods for breaking a large application into separate modules, managing their dependencies, and testing the boundaries between them.

In plain words
What is it for?
Use it to map dependencies, find circular links, plan incremental migration with the Strangler Fig pattern, and design unit, contract, and integration tests.
Why use it?
It helps reveal tangled dependencies and guides gradual monolith changes without requiring one large rewrite.

Skill for Claude Code

Written for Claude Code: user-invocable in frontmatter. Also seen: agent in frontmatter.

Part of the ai-maestro-architect-agent plugin — 27 skills, 4 commands, 5 agents shipped together

Good fit Use it to map dependencies, find circular links, plan incremental migration with the Strangler Fig pattern, and design unit, contract, and integration tests.

Compare 6 skills from other repositories ↓
Install with agentmods
npx agentmods add skills/emasoft/ai-maestro-architect-agent/amaa-modularization-ops
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 Emasoft/ai-maestro-architect-agent --skill amaa-modularization-ops
Clone the repo
git clone --depth 1 https://github.com/Emasoft/ai-maestro-architect-agent

Made for: Claude Code.

Or install ai-maestro-architect-agent, the plugin that ships this one along with the rest of its 27 skills, 4 commands, 5 agents.

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 amaa-modularization-ops

README.md
[![agentmods](https://agentmods.dev/badge/skills/emasoft/ai-maestro-architect-agent/amaa-modularization-ops/github.svg)](https://agentmods.dev/skills/emasoft/ai-maestro-architect-agent/amaa-modularization-ops)
Your own site
<a href="https://agentmods.dev/skills/emasoft/ai-maestro-architect-agent/amaa-modularization-ops"><img src="https://agentmods.dev/badge/skills/emasoft/ai-maestro-architect-agent/amaa-modularization-ops/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 amaa-modularization-ops

Your own site · 80×15
<a href="https://agentmods.dev/skills/emasoft/ai-maestro-architect-agent/amaa-modularization-ops"><img src="https://agentmods.dev/badge/skills/emasoft/ai-maestro-architect-agent/amaa-modularization-ops.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 36 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 543 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 $0.00036 $0.00543
Opus 5 $0.00018 $0.00271
Sonnet 5 $0.00007 $0.00109
Haiku 4.5 $0.00004 $0.00054

Measured 9d ago against content hash e7f3dfff11cf, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-09, from the pricing page.

Security

Grade A, and why

amaa-modularization-ops 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 9d 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/amaa-modularization-ops/SKILL.md · 69 lines

How it starts

The opening of the file, as written. The whole thing — 69 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Modularization Operations

Overview

Covers dependency management, monolith decomposition via the Strangler Fig pattern, and testing strategies for modular systems.

Prerequisites

  • Modular architecture defined (see amaa-modularization core skill)

Instructions

  1. Analyze Dependencies - Graph module dependencies, detect circulars, apply injection
  2. Plan Migration - Use Strangler pattern for incremental monolith decomposition
  3. Design Tests - Build testing pyramid with unit, contract, and integration tests
  4. Validate - Verify isolation, coupling metrics, and deployment independence

Checklist

Copy this checklist and track your progress:

  • Graph all module dependencies and identify direction violations
  • Detect and resolve circular dependencies
  • Plan strangler fig migration steps for monolith features
  • Implement unit tests per module with proper mocking
  • Add contract tests between module boundaries
  • Run integration tests for cross-module flows

Reference Documents

Document Contents
dependency-analysis.md Overview, The Dependency Problem, Dependency Direction Rules, Visualizing Dependencies, The Shared Code Problem, Circular Dependency Detection and Resolution, Dependency Injection
strangler-pattern.md Overview, Why Strangler Pattern?, The Strangler Fig Pattern, Step-by-Step Monolith Decomposition, Extraction Candidate: [Feature Name], Dealing with Dependencies, Example: Extracting Authentication
module-testing.md Overview, Testing Pyramid for Modular Systems, Unit Testing Modules, Mocking Module Dependencies, Contract Testing, Integration Testing, Test Doubles Taxonomy

Examples

Example: Resolve circular dependency between OrderModule and InventoryModule by extracting shared StockInterface

Error Handling

Problem Solution
Circular dependency Extract shared interface or invert dependency
Cannot test in isolation Apply DIP, inject dependencies
Shared code causes ripple changes Reduce shared surface, consider duplication

Read the full file on GitHub · 69 lines

Files

What ships with it

3 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

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. 9d ago First seen · 69 lines · 36 tokens per session scan A e7f3dfff11cf

Subscribe to this mod's changes

amaa-modularization-ops is a skill published in the GitHub repository Emasoft/ai-maestro-architect-agent (2 stars, last pushed 10d ago), licensed MIT. It adds 36 tokens to every session and 543 once invoked, about $0.0002 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.

Related

Other skills, from other repositories

systematic-debugging

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes.

obra/superpowers · 21 tokens

local-ai-agents

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models. Covers Small Language Models (SLMs), the OpenAI-compatible local endpoint, sandboxed local tools, local RAG with Chroma, local MCP servers, hybrid cloud/local routing, and the…

microsoft/ai-agents-for-beginners · 200 tokens

next-cache-components-adoption

Turn on Cache Components in a Next.js app and resolve the blocking routes it surfaces. Use when the user wants to enable, adopt, or migrate to Cache Components, flip the cacheComponents flag, work through a flood of blocking-prerender / instant validation errors, run the cache-components-instant-false codemod, or…

vercel/next.js · 95 tokens

insight-error-page

Write or audit an insight-kind error page for the Next.js dev overlay. Use when creating a new errors/ .mdx page, auditing an existing one, or checking that a page matches the framework fix cards. Covers page structure, title alignment, FixCard cards with Copy prompt button, code snippets, terminology verification…

vercel/next.js · 83 tokens

next-cache-components-optimizer

Drive a Next.js route to instant navigation by setting up an agentic loop, under Cache Components / PPR, on initial load (hard navigation) and client-side navigation (soft navigation). Encode the goal as a failing @next/playwright instant() e2e and work it to green, one verified route at a time; the shipped test then…

vercel/next.js · 170 tokens

next-partial-prefetching-adoption

Turn on Partial Prefetching in a Next.js app and work through the insights it surfaces. Use when the user wants to enable or adopt Partial Prefetching, flip the partialPrefetching flag, opt routes in with export const prefetch = 'partial', audit Link prefetch={true} behavior, preserve existing prefetched UI with…

vercel/next.js · 103 tokens