discipline-refactor

Discipline-Based Refactor (v2.0)

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Install skill "discipline-refactor" with this command: npx skills add vamseeachanta/workspace-hub/vamseeachanta-workspace-hub-discipline-refactor

Discipline-Based Refactor (v2.0)

Reorganize any repository to module-based, discipline-aligned structure.

Core Principles

  • All folders are module-based - Every directory uses modules/<discipline>/ pattern

  • Code lives in modules - src/<package>/modules/<discipline>/

  • Documents mirror code - docs/modules/<discipline>/ , specs/modules/<discipline>/

  • Disciplines are consistent - Same discipline names across all folders

Target Repository Structure

<repo>/ ├── src/<package_name>/ │ └── modules/ │ ├── _core/ # Shared utilities │ ├── <discipline-1>/ # Domain module │ │ ├── init.py │ │ ├── models.py │ │ ├── services.py │ │ └── utils.py │ └── <discipline-2>/ │ ├── tests/ │ └── modules/ │ ├── _core/ │ ├── <discipline-1>/ │ └── <discipline-2>/ │ ├── docs/ │ └── modules/ │ ├── _core/ │ ├── <discipline-1>/ │ └── <discipline-2>/ │ ├── specs/ │ └── modules/ │ ├── _core/ │ ├── <discipline-1>/ │ └── <discipline-2>/ │ ├── data/ │ └── modules/ │ ├── <discipline-1>/ │ └── <discipline-2>/ │ ├── logs/ │ └── modules/ │ ├── <discipline-1>/ │ └── <discipline-2>/ │ ├── .claude/ │ ├── skills/ │ │ ├── _core/ │ │ ├── <discipline-1>/ │ │ └── <discipline-2>/ │ └── CLAUDE.md │ └── pyproject.toml / package.json

Orchestration Architecture

┌─────────────────────────────────────────────────────────────┐ │ ORCHESTRATOR: discipline-refactor skill │ │ (Stays lean, delegates all execution) │ └─────────────────────────────────────────────────────────────┘ │ ┌───────────────────┼───────────────────┐ ▼ ▼ ▼ ┌───────────────┐ ┌───────────────┐ ┌───────────────┐ │ Phase 1 │ │ Phase 2 │ │ Phase 3 │ │ ANALYSIS │ │ PLANNING │ │ EXECUTION │ │ Explore │ │ Plan │ │ general-purpose│ │ │ │ + skill-creator│ │ + git-sync-mgr│ └───────────────┘ └───────────────┘ └───────────────┘ │ ▼ ┌───────────────────────┐ │ Phase 4: VALIDATION │ │ Bash (run tests) │ └───────────────────────┘

Phase 1: Analysis

Spawn: Task with subagent_type=Explore

Prompt:

Analyze the repository for discipline-based, module-based refactoring:

  1. Identify package name:

    • Check pyproject.toml [project.name] or [tool.poetry.name]
    • Check package.json name
    • Check existing src/<name>/ structure
    • Derive from repo name if not found
  2. Scan ALL top-level directories:

    • src/ - code structure
    • tests/ - test organization
    • docs/ - documentation structure
    • specs/ - specifications
    • data/ - data files
    • logs/ - log files
    • .claude/skills/ - skill organization
  3. Identify disciplines from existing code:

    • What domain modules exist?
    • What functional areas are present?
    • Map existing directories to discipline names
  4. Check for existing modules/ patterns:

    • Already have src/<pkg>/modules/?
    • Already have tests/modules/?
    • What's the current organization level?
  5. Output discipline mapping:

    • Suggested disciplines (use consistent names)
    • Current path → new module path for each folder
    • Package name to use

Report in structured format for Phase 2.

Phase 2: Planning

Spawn: Task with subagent_type=Plan

Call: @skill-creator for new discipline skills

Prompt:

Create module-based migration plan based on Phase 1 analysis.

Context: {analysis_results}

Create plan for ALL directories:

  1. Package identification:

    • Confirm package name: <package_name>
    • Confirm disciplines: [_core, discipline-1, discipline-2, ...]
  2. Code structure (src/): BEFORE: src/<package>/feature1/, src/<package>/feature2/ AFTER: src/<package>/modules/_core/, src/<package>/modules/<discipline>/

  3. Test structure: BEFORE: tests/test_feature1.py, tests/integration/ AFTER: tests/modules/_core/, tests/modules/<discipline>/

  4. Documentation structure: BEFORE: docs/api/, docs/guides/ AFTER: docs/modules/_core/, docs/modules/<discipline>/

  5. Specs structure: BEFORE: specs/feature-spec.md, specs/plan.md AFTER: specs/modules/<discipline>/, specs/templates/

  6. Data structure (if exists): BEFORE: data/raw/, data/processed/ AFTER: data/modules/<discipline>/

  7. Skills structure: BEFORE: .claude/skills/category/ AFTER: .claude/skills/<discipline>/

  8. Import updates:

    • from <package>.feature → from <package>.modules.<discipline>
    • Update init.py files
    • Update relative imports
  9. Create README.md for each module with:

    • Module purpose
    • Key files
    • Dependencies on other modules

Output executable task list for Phase 3.

Phase 3: Execution

Spawn: Task with subagent_type=general-purpose

Call: @git-sync-manager , @parallel-batch-executor

Prompt:

Execute module-based refactoring:

Migration Plan: {migration_plan} Package Name: {package_name} Disciplines: {disciplines}

Execute in order:

  1. BACKUP: git tag pre-module-refactor-$(date +%Y%m%d)

  2. CREATE MODULE STRUCTURE:

    For each discipline in [_core, discipline-1, ...]:

    mkdir -p src/<package>/modules/<discipline> mkdir -p tests/modules/<discipline> mkdir -p docs/modules/<discipline> mkdir -p specs/modules/<discipline> mkdir -p data/modules/<discipline> # if data/ exists mkdir -p .claude/skills/<discipline>

  3. MOVE CODE:

    Move source files to appropriate modules

    Update init.py in each module

    Preserve git history with git mv

  4. MOVE TESTS:

    Move test files to mirror source structure

    Update test imports

  5. MOVE DOCS:

    Move documentation to module folders

    Update internal links

  6. MOVE SPECS:

    Move specifications to module folders

    Keep templates/ at top level

  7. UPDATE IMPORTS:

    Search and replace import paths

    from <pkg>.old_path → from <pkg>.modules.<discipline>

    Update conftest.py

    Update pyproject.toml entry points

  8. UPDATE CONFIGS:

    pyproject.toml: packages, entry points

    Update CI/CD paths

    Update Makefile/scripts

  9. CREATE MODULE README:

    Add README.md to each module explaining purpose

Report progress. Stop on failure.

Phase 4: Validation

Spawn: Task with subagent_type=Bash

Prompt:

Validate module-based refactoring:

  1. Structure validation:

    • src/<package>/modules/ exists with disciplines
    • tests/modules/ mirrors src structure
    • docs/modules/ exists
    • specs/modules/ exists
    • Each module has init.py (Python) or index (JS)
    • Each module has README.md
  2. Import validation:

    • No old import paths remain
    • All imports resolve
    • Circular imports checked
  3. Test validation:

    • pytest / npm test passes
    • Coverage maintained
  4. Documentation validation:

    • Internal links work
    • Module READMEs complete

Generate report. On failure, suggest: git checkout pre-module-refactor-{date}

Module-Based Folder Mapping

Standard Folders → Module Structure

Folder Module Pattern Example

src/<pkg>/

src/<pkg>/modules/<discipline>/

src/myapp/modules/data/

tests/

tests/modules/<discipline>/

tests/modules/data/

docs/

docs/modules/<discipline>/

docs/modules/data/

specs/

specs/modules/<discipline>/

specs/modules/data/

data/

data/modules/<discipline>/

data/modules/ingestion/

logs/

logs/modules/<discipline>/

logs/modules/api/

.claude/skills/

.claude/skills/<discipline>/

.claude/skills/data/

Exceptions (Keep Flat)

Folder Reason

specs/templates/

Shared templates

docs/assets/

Shared images/files

.claude/state/

Runtime state

scripts/

Build/deploy scripts

config/

Configuration files

Discipline Taxonomy

Standard disciplines (customize per repo):

Discipline Purpose Contains

_core

Shared utilities Base classes, logging, config, utils

engineering

Domain expertise Simulation, analysis, calculations

data

Data handling ETL, storage, visualization

api

External interfaces REST, GraphQL, webhooks

automation

Workflows CI/CD, scripts, jobs

_internal

Repo-specific Meta tools, guidelines

How to Identify Disciplines

  • What are the main "nouns" in this repo?

  • What expertise areas does the code serve?

  • What would you call the team that owns each part?

  • Use consistent names across src/, tests/, docs/, specs/

Example Transformations

Python Package

Before:

mypackage/ ├── src/mypackage/ │ ├── utils.py │ ├── models.py │ ├── api/ │ └── data/ ├── tests/ │ ├── test_utils.py │ └── test_api.py └── docs/ ├── api.md └── data.md

After:

mypackage/ ├── src/mypackage/ │ └── modules/ │ ├── _core/ │ │ ├── init.py │ │ └── utils.py │ ├── api/ │ │ ├── init.py │ │ └── routes.py │ └── data/ │ ├── init.py │ └── models.py ├── tests/ │ └── modules/ │ ├── _core/ │ │ └── test_utils.py │ └── api/ │ └── test_routes.py ├── docs/ │ └── modules/ │ ├── api/ │ │ └── README.md │ └── data/ │ └── README.md └── specs/ └── modules/ └── api/ └── api-spec.md

Import Changes

Before

from mypackage.utils import helper from mypackage.api.routes import router

After

from mypackage.modules._core.utils import helper from mypackage.modules.api.routes import router

Rollback

git checkout pre-module-refactor-{date}

Verification Checklist

  • All code in src/<pkg>/modules/<discipline>/

  • All tests in tests/modules/<discipline>/

  • All docs in docs/modules/<discipline>/

  • All specs in specs/modules/<discipline>/

  • Consistent discipline names across all folders

  • Each module has init.py and README.md

  • All imports updated

  • Tests pass

  • No orphaned files outside modules/

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