MCP HubMCP Hub
Zurück zu Fähigkeiten

discipline-refactor-phase-3-execution

vamseeachanta
Aktualisiert Yesterday
10 Ansichten
3
2
3
Auf GitHub ansehen
Anderegeneral

Über

Diese Fähigkeit führt die dritte Phase der modulbasierten Refaktorierung aus, indem sie die neue Verzeichnisstruktur erstellt und Code gemäß dem Migrationsplan verschiebt. Sie behandelt die Sicherungserstellung über Git-Tagging, richtet disziplinspezifische Modulverzeichnisse in Quellcode, Tests, Dokumentation und anderen Projektbereichen ein und koordiniert die Dateiverlagerung mit Aktualisierungen der Paketinitialisierung. Verwenden Sie diese Fähigkeit, wenn Sie bereit sind, den in früheren Phasen entwickelten Refaktorierungsplan umzusetzen.

Schnellinstallation

Claude Code

Empfohlen
Primär
npx skills add vamseeachanta/workspace-hub
Plugin-BefehlAlternativ
/plugin add https://github.com/vamseeachanta/workspace-hub
Git CloneAlternativ
git clone https://github.com/vamseeachanta/workspace-hub.git ~/.claude/skills/discipline-refactor-phase-3-execution

Kopieren Sie diesen Befehl und fügen Sie ihn in Claude Code ein, um diese Fähigkeit zu installieren

Dokumentation

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 Repository

vamseeachanta/workspace-hub
Pfad: .claude/skills/_internal/meta/discipline-refactor/phase-3-execution

Verwandte Skills

algorithmic-art

Meta

This 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.

Skill ansehen

subagent-driven-development

Entwicklung

This 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.

Skill ansehen

executing-plans

Design

Use 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.

Skill ansehen

cost-optimization

Andere

This 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.

Skill ansehen