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Component Flattening Analysis

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tech-leads-club
component-flattening-analysis

Detects misplaced classes and fixes component hierarchy problems — finds code that should belong inside a component but sits at the root level. Use when asking "clean up component structure", "find orphaned classes", "fix module hierarchy", "flatten nested components", or analyzing why namespaces have misplaced code. Do NOT use for dependency analysis (use coupling-analysis) or domain grouping (use domain-identification-grouping).

Overview

Publishertech-leads-club
Repositoryagent-skills
Skill namecomponent-flattening-analysis
Stars
6.3K
Forks
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  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 1 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by tech-leads-club on GitHub. Read the source before you install it.

Installation

Install the Component Flattening Analysis AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Use it in TypingMind

Enable Component Flattening Analysis in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Component Flattening Analysis on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Component Flattening Analysis is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Component Flattening Analysis

This skill identifies component hierarchy issues and ensures components exist only as leaf nodes in directory/namespace structures, removing orphaned classes from root namespaces.

How to Use

Quick Start

Request analysis of your codebase:

  • "Find orphaned classes in root namespaces"
  • "Flatten component hierarchies"
  • "Identify components that need flattening"
  • "Analyze component structure for hierarchy issues"

Usage Examples

Example 1: Find Orphaned Classes

User: "Find orphaned classes in root namespaces"

The skill will:
1. Scan component namespaces for hierarchy issues
2. Identify orphaned classes in root namespaces
3. Detect components built on top of other components
4. Suggest flattening strategies
5. Create refactoring plan

Example 2: Flatten Components

User: "Flatten component hierarchies in this codebase"

The skill will:
1. Identify components with hierarchy issues
2. Analyze orphaned classes
3. Suggest consolidation or splitting strategies
4. Create refactoring plan
5. Estimate effort

Example 3: Component Structure Analysis

User: "Analyze component structure for hierarchy issues"

The skill will:
1. Map component namespace structure
2. Identify root namespaces with code
3. Find components built on components
4. Flag hierarchy violations
5. Provide recommendations

Step-by-Step Process

  1. Scan Structure: Map component namespace hierarchies
  2. Identify Issues: Find orphaned classes and component nesting
  3. Analyze Options: Determine flattening strategy (consolidate vs split)
  4. Create Plan: Generate refactoring plan with steps
  5. Execute: Refactor components to remove hierarchy

When to Use

Apply this skill when:

  • After gathering common domain components (Pattern 2)
  • Before determining component dependencies (Pattern 4)
  • When components have nested structures
  • Finding orphaned classes in root namespaces
  • Preparing for domain grouping
  • Cleaning up component structure
  • Ensuring components are leaf nodes only

Core Concepts

Component Definition

A component is identified by a leaf node in directory/namespace structure:

  • Leaf Node: The deepest directory containing source files
  • Component: Source code files in leaf node namespace
  • Subdomain: Parent namespace that has been extended

Key Rule: Components exist only as leaf nodes. If a namespace is extended, the parent becomes a subdomain, not a component.

Root Namespace

A root namespace is a namespace node that has been extended:

  • Extended: Another namespace node added below it
  • Example: ss.survey extended to ss.survey.templates
  • Result: ss.survey becomes a root namespace (subdomain)

Orphaned Classes

Orphaned classes are source files in root namespaces:

  • Location: Root namespace (non-leaf node)
  • Problem: No definable component associated with them
  • Solution: Move to leaf node namespace (component)

Example:

ss.survey/              ← Root namespace (extended by .templates)
├── Survey.js           ← Orphaned class (in root namespace)
└── templates/          ← Component (leaf node)
    └── Template.js

Flattening Strategies

Strategy 1: Consolidate Down

  • Move code from leaf nodes into root namespace
  • Makes root namespace the component
  • Example: Move ss.survey.templatesss.survey

Strategy 2: Split Up

  • Move code from root namespace into new leaf nodes
  • Creates new components from root namespace
  • Example: Split ss.surveyss.survey.create + ss.survey.process

Strategy 3: Move Shared Code

  • Move shared code to dedicated component
  • Creates .shared component
  • Example: ss.survey shared code → ss.survey.shared

Analysis Process

Phase 1: Map Component Structure

Scan directory/namespace structure to identify hierarchy:

  1. Map Namespace Tree

    • Build tree of all namespaces
    • Identify parent-child relationships
    • Mark leaf nodes (components)
  2. Identify Root Namespaces

    • Find namespaces that have been extended
    • Mark as root namespaces (subdomains)
    • Note which namespaces extend them
  3. Locate Source Files

    • Find all source files in each namespace
    • Map files to their namespace location
    • Identify files in root namespaces

Example Structure Mapping:

markdown
## Component Structure Map

ss.survey/ ← Root namespace (extended) ├── Survey.js ← Orphaned class ├── SurveyProcessor.js ← Orphaned class └── templates/ ← Component (leaf node) ├── EmailTemplate.js └── SMSTemplate.js

ss.ticket/ ← Root namespace (extended) ├── Ticket.js ← Orphaned class ├── assign/ ← Component (leaf node) │ └── TicketAssign.js └── route/ ← Component (leaf node) └── TicketRoute.js

Phase 2: Identify Orphaned Classes

Find source files in root namespaces:

  1. Scan Root Namespaces

    • Check each root namespace for source files
    • Identify files that are orphaned
    • Count orphaned files per root namespace
  2. Classify Orphaned Classes

    • Shared Code: Common utilities, interfaces, abstract classes
    • Domain Code: Business logic that should be in component
    • Mixed: Combination of shared and domain code
  3. Assess Impact

    • How many files are orphaned?
    • What functionality do they contain?
    • What components depend on them?

Example Orphaned Class Detection:

markdown
## Orphaned Classes Found

### Root Namespace: ss.survey

**Orphaned Files** (5 files):

- Survey.js (domain code - survey creation)
- SurveyProcessor.js (domain code - survey processing)
- SurveyValidator.js (shared code - validation)
- SurveyFormatter.js (shared code - formatting)
- SurveyConstants.js (shared code - constants)

**Classification**:

- Domain Code: 2 files (should be in components)
- Shared Code: 3 files (should be in .shared component)

**Dependencies**: Used by ss.survey.templates component

Phase 3: Analyze Flattening Options

Determine best flattening strategy for each root namespace:

  1. Option 1: Consolidate Down

    • Move leaf node code into root namespace
    • Makes root namespace the component
    • Use when: Leaf nodes are small, related functionality
  2. Option 2: Split Up

    • Move root namespace code into new leaf nodes
    • Creates multiple components from root
    • Use when: Root namespace has distinct functional areas
  3. Option 3: Move Shared Code

    • Extract shared code to .shared component
    • Keep domain code in root or split
    • Use when: Root namespace has shared utilities

Example Flattening Analysis:

markdown
## Flattening Options Analysis

### Root Namespace: ss.survey

**Current State**:

- Root namespace: 5 orphaned files
- Leaf component: ss.survey.templates (7 files)

**Option 1: Consolidate Down** ✅ Recommended

- Move templates code into ss.survey
- Result: Single component ss.survey
- Effort: Low (7 files to move)
- Rationale: Templates are small, related to survey functionality

**Option 2: Split Up**

- Create ss.survey.create (2 files)
- Create ss.survey.process (1 file)
- Create ss.survey.shared (3 files)
- Keep ss.survey.templates (7 files)
- Effort: High (multiple components to create)
- Rationale: More granular, but may be over-engineering

**Option 3: Move Shared Code**

- Create ss.survey.shared (3 shared files)
- Keep domain code in root (2 files)
- Keep ss.survey.templates (7 files)
- Effort: Medium
- Rationale: Separates shared from domain, but still has hierarchy

Phase 4: Create Flattening Plan

Generate refactoring plan for each root namespace:

  1. Select Strategy

    • Choose best flattening option
    • Consider effort, complexity, maintainability
  2. Plan Refactoring Steps

    • List files to move
    • Identify target namespaces
    • Note dependencies to update
  3. Estimate Effort

    • Time to refactor
    • Risk assessment
    • Testing requirements

Example Flattening Plan:

markdown
## Flattening Plan

### Priority: High

**Root Namespace: ss.survey**

**Strategy**: Consolidate Down

**Steps**:

1. Move files from ss.survey.templates/ to ss.survey/
   - EmailTemplate.js
   - SMSTemplate.js
   - [5 more files]

2. Update imports in dependent components
   - Update references from ss.survey.templates._ to ss.survey._

3. Remove ss.survey.templates/ directory

4. Update namespace declarations
   - Change namespace from ss.survey.templates to ss.survey

5. Run tests to verify changes

**Effort**: 2-3 days
**Risk**: Low (templates are self-contained)
**Dependencies**: None

Phase 5: Execute Flattening

Perform the refactoring:

  1. Move Files

    • Move source files to target namespace
    • Update file paths and imports
  2. Update References

    • Update imports in dependent components
    • Update namespace declarations
    • Update directory structure
  3. Verify Changes

    • Run tests
    • Check for broken references
    • Validate component structure

Output Format

Orphaned Classes Report

markdown
## Orphaned Classes Analysis

### Root Namespace: ss.survey

**Status**: ⚠️ Has Orphaned Classes

**Orphaned Files** (5 files):

- Survey.js (domain code)
- SurveyProcessor.js (domain code)
- SurveyValidator.js (shared code)
- SurveyFormatter.js (shared code)
- SurveyConstants.js (shared code)

**Leaf Components**:

- ss.survey.templates (7 files)

**Issue**: Root namespace contains code but is extended by leaf component

**Recommendation**: Consolidate templates into root namespace

Component Hierarchy Issues

markdown
## Component Hierarchy Issues

| Root Namespace | Orphaned Files | Leaf Components                 | Issue                | Recommendation   |
| -------------- | -------------- | ------------------------------- | -------------------- | ---------------- |
| ss.survey      | 5              | 1 (templates)                   | Has orphaned classes | Consolidate down |
| ss.ticket      | 45             | 2 (assign, route)               | Large orphaned code  | Split up         |
| ss.reporting   | 0              | 3 (tickets, experts, financial) | No issue             | ✅ OK            |

Flattening Plan

markdown
## Flattening Plan

### Priority: High

**ss.survey** → Consolidate Down

- Move 7 files from templates to root
- Effort: 2-3 days
- Risk: Low

### Priority: Medium

**ss.ticket** → Split Up

- Create ss.ticket.maintenance (30 files)
- Create ss.ticket.completion (10 files)
- Create ss.ticket.shared (5 files)
- Effort: 1 week
- Risk: Medium

Analysis Checklist

Structure Mapping:

  • Mapped all namespace hierarchies
  • Identified root namespaces
  • Located all source files
  • Marked leaf nodes (components)

Orphaned Class Detection:

  • Scanned root namespaces for source files
  • Identified orphaned classes
  • Classified orphaned classes (shared/domain/mixed)
  • Assessed impact and dependencies

Flattening Analysis:

  • Analyzed consolidation option
  • Analyzed splitting option
  • Analyzed shared code extraction option
  • Selected best strategy for each root namespace

Plan Creation:

  • Selected flattening strategy
  • Created refactoring steps
  • Estimated effort and risk
  • Prioritized work

Execution:

  • Moved files to target namespaces
  • Updated imports and references
  • Updated namespace declarations
  • Verified changes with tests

Implementation Notes

For Node.js/Express Applications

Components typically in services/ directory:

services/
├── survey/              ← Root namespace (extended)
│   ├── Survey.js       ← Orphaned class
│   └── templates/      ← Component (leaf node)
│       └── Template.js

Flattening:

  • Consolidate: Move templates/ files to survey/
  • Split: Create survey/create/ and survey/process/
  • Shared: Create survey/shared/ for utilities

For Java Applications

Components identified by package structure:

com.company.survey       ← Root package (extended)
├── Survey.java         ← Orphaned class
└── templates/          ← Component (leaf package)
    └── Template.java

Flattening:

  • Consolidate: Move templates classes to survey package
  • Split: Create survey.create and survey.process packages
  • Shared: Create survey.shared package

Detection Strategies

Find Root Namespaces with Code:

javascript
// Find root namespaces containing source files
function findRootNamespacesWithCode(namespaces, sourceFiles) {
  const rootNamespaces = namespaces.filter((ns) => {
    // Check if namespace has been extended
    const hasChildren = namespaces.some((n) => n.startsWith(ns + '.') || n.startsWith(ns + '/'))

    // Check if namespace contains source files
    const hasFiles = sourceFiles.some((f) => f.namespace === ns)

    return hasChildren && hasFiles
  })

  return rootNamespaces
}

Find Orphaned Classes:

javascript
// Find orphaned classes in root namespaces
function findOrphanedClasses(rootNamespaces, sourceFiles) {
  const orphaned = []

  rootNamespaces.forEach((rootNs) => {
    const files = sourceFiles.filter((f) => f.namespace === rootNs)
    orphaned.push({
      rootNamespace: rootNs,
      files: files,
      count: files.length,
    })
  })

  return orphaned
}

Fitness Functions

After flattening components, create automated checks:

No Source Code in Root Namespaces

javascript
// Alert if source code exists in root namespace
function checkRootNamespaceCode(namespaces, sourceFiles) {
  const violations = []

  namespaces.forEach((ns) => {
    // Check if namespace has been extended
    const hasChildren = namespaces.some((n) => n.startsWith(ns + '.') || n.startsWith(ns + '/'))

    if (hasChildren) {
      // Check if namespace contains source files
      const files = sourceFiles.filter((f) => f.namespace === ns)

      if (files.length > 0) {
        violations.push({
          namespace: ns,
          files: files.map((f) => f.name),
          issue: 'Root namespace contains source files (orphaned classes)',
        })
      }
    }
  })

  return violations
}

Components Only as Leaf Nodes

javascript
// Ensure components exist only as leaf nodes
function validateComponentStructure(namespaces, sourceFiles) {
  const violations = []

  // Find all leaf nodes (components)
  const leafNodes = namespaces.filter((ns) => {
    return !namespaces.some((n) => n.startsWith(ns + '.') || n.startsWith(ns + '/'))
  })

  // Check that all source files are in leaf nodes
  sourceFiles.forEach((file) => {
    if (!leafNodes.includes(file.namespace)) {
      violations.push({
        file: file.name,
        namespace: file.namespace,
        issue: 'Source file not in leaf node (component)',
      })
    }
  })

  return violations
}

Best Practices

Do's ✅

  • Ensure components exist only as leaf nodes
  • Remove orphaned classes from root namespaces
  • Choose flattening strategy based on functionality
  • Consolidate when functionality is related
  • Split when functionality is distinct
  • Extract shared code to .shared components
  • Update all references after flattening
  • Verify changes with tests

Don'ts ❌

  • Don't leave orphaned classes in root namespaces
  • Don't create components on top of other components
  • Don't skip updating imports after moving files
  • Don't flatten without analyzing impact
  • Don't mix flattening strategies inconsistently
  • Don't ignore shared code when flattening
  • Don't skip testing after refactoring

Common Patterns

Pattern 1: Simple Consolidation

Before:

ss.survey/
├── Survey.js           ← Orphaned
└── templates/          ← Component
    └── Template.js

After:

ss.survey/              ← Component (leaf node)
├── Survey.js
└── Template.js

Pattern 2: Functional Split

Before:

ss.ticket/              ← Root namespace
├── Ticket.js           ← Orphaned (45 files)
├── assign/             ← Component
└── route/              ← Component

After:

ss.ticket/              ← Subdomain
├── maintenance/        ← Component
│   └── Ticket.js
├── completion/        ← Component
│   └── TicketCompletion.js
├── assign/             ← Component
└── route/              ← Component

Pattern 3: Shared Code Extraction

Before:

ss.survey/              ← Root namespace
├── Survey.js           ← Domain code
├── SurveyValidator.js  ← Shared code
└── templates/          ← Component

After:

ss.survey/              ← Component
├── Survey.js
└── shared/             ← Component
    └── SurveyValidator.js

Next Steps

After flattening components:

  1. Apply Determine Component Dependencies Pattern - Analyze coupling
  2. Create Component Domains - Group components into domains
  3. Create Domain Services - Extract domains to services

Notes

  • Components must exist only as leaf nodes
  • Root namespaces with code are problematic
  • Flattening improves component clarity
  • Choose flattening strategy based on functionality
  • Shared code should be in dedicated components
  • Always update references after moving files
  • Test thoroughly after flattening

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Component Flattening Analysis AI skill do?

Detects misplaced classes and fixes component hierarchy problems — finds code that should belong inside a component but sits at the root level. Use when asking "clean up component structure", "find orphaned classes", "fix module hierarchy", "flatten nested components", or analyzing why namespaces have misplaced code. Do NOT use for dependency analysis (use coupling-analysis) or domain grouping (use domain-identification-grouping).

Why use Component Flattening Analysis on TypingMind?

Because you install it once and use it with any model. Component Flattening Analysis is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Component Flattening Analysis in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/tech-leads-club/agent-skills/tree/main/packages/skills-catalog/skills/(architecture)/component-flattening-analysis. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Component Flattening Analysis?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Component Flattening Analysis?

As many as you like. As long as a model supports skills, you can use Component Flattening Analysis with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Component Flattening Analysis AI skill free?

It is published on GitHub by tech-leads-club. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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