decomposition-planning-roadmap

tech-leads-club/agent-skills · updated May 23, 2026

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$npx skills add https://github.com/tech-leads-club/agent-skills --skill decomposition-planning-roadmap
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summary

Creates step-by-step decomposition plans and migration roadmaps for breaking apart monolithic applications. Use when asking "what order should I extract services?", "plan my migration", "create a decomposition roadmap", "prioritize what to split", "monolith to microservices strategy", or tracking decomposition progress. Do NOT use for domain analysis (use domain-analysis) or component sizing (use component-identification-sizing).

skill.md
name
decomposition-planning-roadmap
description
Creates step-by-step decomposition plans and migration roadmaps for breaking apart monolithic applications. Use when asking "what order should I extract services?", "plan my migration", "create a decomposition roadmap", "prioritize what to split", "monolith to microservices strategy", or tracking decomposition progress. Do NOT use for domain analysis (use domain-analysis) or component sizing (use component-identification-sizing).

Decomposition Planning and Roadmap

This skill creates structured decomposition plans and roadmaps to guide the migration from monolithic to distributed architectures, prioritizing work and tracking progress through decomposition patterns.

How to Use

Quick Start

Request creation of a decomposition plan:

  • "Create a decomposition roadmap for this codebase"
  • "Plan the decomposition migration strategy"
  • "Prioritize decomposition work based on component analysis"
  • "Create a step-by-step decomposition plan"

Usage Examples

Example 1: Complete Roadmap

User: "Create a decomposition roadmap for this codebase"

The skill will:
1. Analyze current codebase state
2. Identify decomposition patterns to apply
3. Prioritize work based on risk and value
4. Create phased roadmap
5. Generate architecture stories
6. Estimate effort and dependencies

Example 2: Prioritized Plan

User: "Prioritize decomposition work based on component analysis"

The skill will:
1. Review component inventory and dependencies
2. Assess risk and value for each pattern
3. Prioritize patterns by impact
4. Create prioritized work plan

Example 3: Phase Planning

User: "Create a phased decomposition plan"

The skill will:
1. Group decomposition patterns into phases
2. Identify dependencies between phases
3. Create phase timeline
4. Define phase success criteria

Step-by-Step Process

  1. Assess Current State: Analyze codebase and identify what's been done
  2. Identify Patterns: Determine which decomposition patterns to apply
  3. Prioritize Work: Rank patterns by risk, value, and dependencies
  4. Create Roadmap: Build phased plan with milestones
  5. Generate Stories: Create architecture stories for tracking
  6. Track Progress: Monitor progress through decomposition phases

When to Use

Apply this skill when:

  • Starting a decomposition effort
  • Planning migration from monolith to distributed architecture
  • Prioritizing decomposition work
  • Creating architecture stories for decomposition
  • Tracking progress through decomposition patterns
  • Need structured approach to decomposition
  • Want to estimate effort and dependencies

Core Concepts

Decomposition Pattern Sequence

The six component-based decomposition patterns should be applied in sequence:

  1. Identify and Size Components - Understand what you have
  2. Gather Common Domain Components - Find duplicates
  3. Flatten Components - Remove orphaned classes
  4. Determine Component Dependencies - Assess coupling
  5. Create Component Domains - Group into domains
  6. Create Domain Services - Extract to services

Phased Approach

Decomposition typically follows phases:

Phase 1: Analysis & Preparation (Patterns 1-4)

  • Component identification and sizing
  • Common component detection
  • Component flattening
  • Dependency analysis

Phase 2: Domain Organization (Pattern 5)

  • Domain identification
  • Component grouping
  • Namespace refactoring

Phase 3: Service Extraction (Pattern 6)

  • Domain service creation
  • Service extraction
  • API boundary definition

Prioritization Factors

When prioritizing decomposition work, consider:

  • Risk: Low risk = easier to extract, fewer dependencies
  • Value: High value = business-critical, high impact
  • Dependencies: Can this be done independently?
  • Complexity: Simple = fewer components, clear boundaries
  • Coupling: Low coupling = easier to extract

Analysis Process

Phase 1: Assess Current State

Analyze what's already been done:

  1. Check Component Inventory

    • Have components been identified and sized?
    • Is there a component inventory document?
    • Are oversized components identified?
  2. Check Common Component Analysis

    • Have common domain components been identified?
    • Are consolidation opportunities documented?
    • Has coupling impact been analyzed?
  3. Check Component Structure

    • Have components been flattened?
    • Are there orphaned classes?
    • Is component structure clean?
  4. Check Dependency Analysis

    • Have component dependencies been mapped?
    • Is coupling analysis complete?
    • Is feasibility assessed?
  5. Check Domain Identification

    • Have domains been identified?
    • Are components grouped into domains?
    • Are namespaces aligned with domains?
  6. Check Service Extraction

    • Have any services been extracted?
    • Are domain services created?
    • Is service-based architecture in place?

Output: Current state assessment showing what's done and what's remaining

Phase 2: Identify Patterns to Apply

Determine which decomposition patterns need to be applied:

  1. Review Pattern Prerequisites

    • Pattern 1: Always needed (foundation)
    • Pattern 2: Needed if common components exist
    • Pattern 3: Needed if components have hierarchy
    • Pattern 4: Always needed (feasibility check)
    • Pattern 5: Needed before service extraction
    • Pattern 6: Final step (service extraction)
  2. Check Pattern Completion

    • Which patterns are complete?
    • Which patterns are in progress?
    • Which patterns haven't started?
  3. Identify Missing Patterns

    • What patterns still need to be applied?
    • What's blocking pattern application?
    • What dependencies exist?

Output: List of patterns to apply with status

Phase 3: Prioritize Work

Prioritize decomposition patterns and work items:

  1. Assess Risk

    • Low Risk: Infrastructure components, standalone functionality
    • Medium Risk: Domain components with some dependencies
    • High Risk: Core business logic, high coupling
  2. Assess Value

    • High Value: Business-critical, high impact, frequent changes
    • Medium Value: Important but not critical
    • Low Value: Nice to have, low impact
  3. Assess Dependencies

    • Independent: Can be done without other work
    • Dependent: Requires other patterns/work first
    • Blocking: Blocks other work from proceeding
  4. Calculate Priority Score

    Priority = (Value × 3) - (Risk × 2) - (Dependencies × 1)
    
    Higher score = Higher priority
    

Output: Prioritized list of patterns and work items

Phase 4: Create Phased Roadmap

Build a phased roadmap with milestones:

  1. Define Phases

    • Phase 1: Analysis & Preparation
    • Phase 2: Domain Organization
    • Phase 3: Service Extraction
    • Phase 4: Optimization & Refinement
  2. Assign Patterns to Phases

    • Which patterns belong in which phase?
    • What's the sequence within each phase?
    • What are the phase dependencies?
  3. Set Milestones

    • What marks completion of each phase?
    • What are the success criteria?
    • What deliverables are expected?
  4. Estimate Timeline

    • How long will each phase take?
    • What are the dependencies?
    • What's the critical path?

Output: Phased roadmap with timeline and milestones

Phase 5: Generate Architecture Stories

Create architecture stories for tracking work:

  1. Create Story Template

    As an architect, I need to [apply pattern/refactor component]
    to support [architectural characteristic/business need]
    so that [benefit/outcome]
    
  2. Break Down Work

    • One story per pattern application
    • One story per major refactoring
    • One story per domain grouping
  3. Add Acceptance Criteria

    • What defines "done"?
    • What metrics validate success?
    • What tests verify completion?
  4. Estimate Effort

    • Story points or time estimates
    • Complexity assessment
    • Risk factors

Output: List of architecture stories with estimates

Phase 6: Track Progress

Monitor progress through decomposition:

  1. Track Pattern Completion

    • Which patterns are complete?
    • Which are in progress?
    • Which are blocked?
  2. Track Story Completion

    • Stories completed
    • Stories in progress
    • Stories not started
  3. Track Metrics

    • Components identified
    • Components refactored
    • Domains created
    • Services extracted
  4. Identify Blockers

    • What's blocking progress?
    • What dependencies are missing?
    • What risks have emerged?

Output: Progress dashboard and status report

Output Format

Decomposition Roadmap

# Decomposition Roadmap

## Current State Assessment

**Completed Patterns**:

- ✅ Pattern 1: Identify and Size Components
- ✅ Pattern 2: Gather Common Domain Components
- ⚠️ Pattern 3: Flatten Components (in progress)
- ❌ Pattern 4: Determine Component Dependencies (not started)
- ❌ Pattern 5: Create Component Domains (not started)
- ❌ Pattern 6: Create Domain Services (not started)

**Key Findings**:

- 75 components identified
- 3 common domain components found
- 2 oversized components need splitting
- High database coupling detected

## Phased Roadmap

### Phase 1: Analysis & Preparation (Weeks 1-4)

**Goal**: Complete component analysis and refactoring

**Patterns**:

1. Complete Pattern 3: Flatten Components
2. Apply Pattern 4: Determine Component Dependencies
3. Refactor oversized components

**Milestones**:

- Week 2: Component flattening complete
- Week 4: Dependency analysis complete

**Deliverables**:

- Flattened component structure
- Dependency diagram
- Feasibility assessment

### Phase 2: Domain Organization (Weeks 5-8)

**Goal**: Organize components into domains

**Patterns**:

1. Apply Pattern 5: Create Component Domains
2. Refactor namespaces for domain alignment

**Milestones**:

- Week 6: Domains identified
- Week 8: Namespace refactoring complete

**Deliverables**:

- Domain map
- Refactored component namespaces
- Domain documentation

### Phase 3: Service Extraction (Weeks 9-16)

**Goal**: Extract domains to domain services

**Patterns**:

1. Apply Pattern 6: Create Domain Services
2. Extract services incrementally

**Milestones**:

- Week 12: First domain service extracted
- Week 16: All domain services extracted

**Deliverables**:

- Domain services deployed
- API boundaries defined
- Service documentation

Prioritized Work Plan

## Prioritized Work Plan

### High Priority (Do First)

1. **Complete Component Flattening** (Priority: 9/10)
   - Risk: Low
   - Value: High (enables domain grouping)
   - Dependencies: None
   - Effort: 2 weeks

2. **Dependency Analysis** (Priority: 8/10)
   - Risk: Low
   - Value: High (validates feasibility)
   - Dependencies: Component flattening
   - Effort: 1 week

### Medium Priority (Do Next)

3. **Domain Identification** (Priority: 7/10)
   - Risk: Medium
   - Value: High (enables service extraction)
   - Dependencies: Dependency analysis
   - Effort: 2 weeks

### Low Priority (Do Later)

4. **Service Extraction** (Priority: 5/10)
   - Risk: High
   - Value: High (final goal)
   - Dependencies: Domain identification
   - Effort: 8 weeks

Architecture Stories

## Architecture Stories

### Story 1: Flatten Ticket Components

**As an architect**, I need to flatten the Ticket component hierarchy
to support better component organization
so that components exist only as leaf nodes.

**Acceptance Criteria**:

- [ ] No orphaned classes in root namespaces
- [ ] All components are leaf nodes
- [ ] Component structure validated

**Estimate**: 5 story points
**Priority**: High
**Dependencies**: None

### Story 2: Identify Component Domains

**As an architect**, I need to group components into logical domains
to support service-based architecture
so that components can be extracted to domain services.

**Acceptance Criteria**:

- [ ] All components assigned to domains
- [ ] Domain boundaries validated with stakeholders
- [ ] Domain map created

**Estimate**: 8 story points
**Priority**: High
**Dependencies**: Component flattening complete

Progress Dashboard

## Decomposition Progress Dashboard

### Pattern Completion Status

| Pattern                    | Status         | Progress | Blocker                 |
| -------------------------- | -------------- | -------- | ----------------------- |
| Identify & Size Components | ✅ Complete    | 100%     | None                    |
| Gather Common Components   | ✅ Complete    | 100%     | None                    |
| Flatten Components         | ⚠️ In Progress | 60%      | None                    |
| Determine Dependencies     | ❌ Not Started | 0%       | Waiting on flattening   |
| Create Domains             | ❌ Not Started | 0%       | Waiting on dependencies |
| Create Domain Services     | ❌ Not Started | 0%       | Waiting on domains      |

### Story Completion Status

**Completed**: 5 stories (25%)
**In Progress**: 3 stories (15%)
**Not Started**: 12 stories (60%)

### Key Metrics

- Components Identified: 75
- Components Refactored: 45 (60%)
- Domains Created: 0
- Services Extracted: 0

Analysis Checklist

Current State Assessment:

  • Reviewed component inventory
  • Checked common component analysis
  • Assessed component structure
  • Reviewed dependency analysis
  • Checked domain identification
  • Assessed service extraction status

Pattern Identification:

  • Identified which patterns are complete
  • Identified which patterns are in progress
  • Identified which patterns need to be applied
  • Checked pattern dependencies

Prioritization:

  • Assessed risk for each pattern
  • Assessed value for each pattern
  • Assessed dependencies
  • Calculated priority scores

Roadmap Creation:

  • Defined phases
  • Assigned patterns to phases
  • Set milestones
  • Estimated timeline

Story Generation:

  • Created architecture stories
  • Added acceptance criteria
  • Estimated effort
  • Prioritized stories

Progress Tracking:

  • Set up tracking mechanism
  • Defined metrics
  • Created dashboard
  • Identified blockers

Implementation Notes

Roadmap Templates

Simple Roadmap (for small projects):

  • Phase 1: Analysis (2-4 weeks)
  • Phase 2: Refactoring (4-6 weeks)
  • Phase 3: Extraction (8-12 weeks)

Detailed Roadmap (for large projects):

  • Phase 1: Analysis & Preparation (4-8 weeks)
  • Phase 2: Domain Organization (4-6 weeks)
  • Phase 3: Service Extraction (12-16 weeks)
  • Phase 4: Optimization (4-8 weeks)

Prioritization Matrix

Use a 2x2 matrix for prioritization:

High Value, Low Risk    | High Value, High Risk
(Do First)              | (Do Carefully)
────────────────────────┼──────────────────────
Low Value, Low Risk     | Low Value, High Risk
(Do Later)              | (Avoid/Defer)

Story Estimation

Use story points or time estimates:

Story Points (Fibonacci):

  • 1: Trivial (few hours)
  • 2: Simple (1 day)
  • 3: Small (2-3 days)
  • 5: Medium (1 week)
  • 8: Large (2 weeks)
  • 13: Very Large (3+ weeks)

Time Estimates:

  • Small: 1-3 days
  • Medium: 1-2 weeks
  • Large: 2-4 weeks
  • Very Large: 1+ month

Best Practices

Do's ✅

  • Start with analysis patterns (Patterns 1-4)
  • Prioritize low-risk, high-value work
  • Create architecture stories for tracking
  • Set clear milestones and success criteria
  • Track progress regularly
  • Adjust roadmap based on learnings
  • Collaborate with stakeholders on priorities

Don'ts ❌

  • Don't skip analysis patterns
  • Don't start service extraction too early
  • Don't ignore dependencies between patterns
  • Don't create unrealistic timelines
  • Don't skip progress tracking
  • Don't forget to validate with stakeholders
  • Don't proceed without feasibility assessment

Integration with Other Skills

This skill coordinates the use of other decomposition skills:

  1. Component Identification & Sizing → Foundation for planning
  2. Common Domain Component Detection → Identifies consolidation work
  3. Component Flattening → Prepares for domain grouping
  4. Component Dependency Analysis → Validates feasibility
  5. Domain Identification & Grouping → Enables service extraction
  6. Decomposition Planning & Roadmap (this skill) → Coordinates everything

Next Steps

After creating the roadmap:

  1. Review with Stakeholders - Get buy-in on plan
  2. Start Phase 1 - Begin with analysis patterns
  3. Track Progress - Monitor completion and blockers
  4. Adjust as Needed - Update roadmap based on learnings
  5. Celebrate Milestones - Recognize progress

Notes

  • Roadmaps should be living documents, updated regularly
  • Prioritization may change as you learn more
  • Dependencies between patterns must be respected
  • Feasibility assessment is critical before proceeding
  • Stakeholder collaboration is essential for success
  • Progress tracking helps identify issues early
how to use decomposition-planning-roadmap

How to use decomposition-planning-roadmap on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add decomposition-planning-roadmap
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/tech-leads-club/agent-skills --skill decomposition-planning-roadmap

The skills CLI fetches decomposition-planning-roadmap from GitHub repository tech-leads-club/agent-skills and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/decomposition-planning-roadmap

Reload or restart Cursor to activate decomposition-planning-roadmap. Access the skill through slash commands (e.g., /decomposition-planning-roadmap) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.841 reviews
  • Li Menon· Dec 16, 2024

    decomposition-planning-roadmap has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Daniel Perez· Dec 12, 2024

    Solid pick for teams standardizing on skills: decomposition-planning-roadmap is focused, and the summary matches what you get after install.

  • Sofia Li· Dec 12, 2024

    I recommend decomposition-planning-roadmap for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Chaitanya Patil· Dec 4, 2024

    decomposition-planning-roadmap fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Meera Choi· Dec 4, 2024

    decomposition-planning-roadmap reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Piyush G· Nov 23, 2024

    decomposition-planning-roadmap is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Daniel Mensah· Nov 23, 2024

    I recommend decomposition-planning-roadmap for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Aditi Mehta· Nov 3, 2024

    decomposition-planning-roadmap reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Mateo White· Oct 22, 2024

    Registry listing for decomposition-planning-roadmap matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Shikha Mishra· Oct 14, 2024

    Keeps context tight: decomposition-planning-roadmap is the kind of skill you can hand to a new teammate without a long onboarding doc.

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