discipline-refactor-phase-3-execution
О программе
Этот навык выполняет третий этап модульного рефакторинга, создавая новую структуру каталогов и перемещая код в соответствии с планом миграции. Он обеспечивает создание резервных копий через тегирование в git, настраивает предметно-ориентированные модульные каталоги в исходном коде, тестах, документации и других областях проекта, а также координирует перемещение файлов с обновлением инициализации пакетов. Используйте его, когда вы готовы реализовать план рефакторинга, разработанный на предыдущих этапах.
Быстрая установка
Claude Code
Рекомендуетсяnpx skills add vamseeachanta/workspace-hub/plugin add https://github.com/vamseeachanta/workspace-hubgit clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/discipline-refactor-phase-3-executionСкопируйте и вставьте эту команду в Claude Code для установки этого навыка
Документация
Phase 3: Execution
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.
GitHub репозиторий
Похожие навыки
algorithmic-art
МетаThis Claude Skill creates original algorithmic art using p5.js with seeded randomness and interactive parameters. It generates .md files for algorithmic philosophies, plus .html and .js files for interactive generative art implementations. Use it when developers need to create flow fields, particle systems, or other computational art while avoiding copyright issues.
subagent-driven-development
РазработкаThis skill executes implementation plans by dispatching a fresh subagent for each independent task, with code review between tasks. It enables fast iteration while maintaining quality gates through this review process. Use it when working on mostly independent tasks within the same session to ensure continuous progress with built-in quality checks.
executing-plans
ДизайнUse the executing-plans skill when you have a complete implementation plan to execute in controlled batches with review checkpoints. It loads and critically reviews the plan, then executes tasks in small batches (default 3 tasks) while reporting progress between each batch for architect review. This ensures systematic implementation with built-in quality control checkpoints.
cost-optimization
ДругоеThis Claude Skill helps developers optimize cloud costs through resource rightsizing, tagging strategies, and spending analysis. It provides a framework for reducing cloud expenses and implementing cost governance across AWS, Azure, and GCP. Use it when you need to analyze infrastructure costs, right-size resources, or meet budget constraints.
