Source excerpts used for this adoption decision. Low-confidence cases link back to GitHub instead of forcing a misleading quote.
README excerpt
README.md
After installing marketplace plugin
~/.claude/plugins/marketplaces/mhattingpete-claude-skills/execution-runtime/setup.sh
# In Claude Code - installs the entire plugin with all skills and agents
/plugin marketplace add mhattingpete/claude-skills-marketplace
This installs the engineering-workflow-plugin which includes all skills and the plan-implementer agent.
To install individual plugins:
# Install only engineering workflows
/plugin marketplace add mhattingpete/claude-skills-marketplace/engineering-workflow-plugin
# Install only visual documentation
/plugin marketplace add mhattingpete/claude-skills-marketplace/visual-documentation-plugin
# Install only code operations
/plugin marketplace add mhattingpete/claude-skills-marketplace/code-operations-plugin
SKILL.md excerpt
code-operations-plugin/skills/code-execution/SKILL.md
When to Use
- Bulk operations (10+ files)
- Complex multi-step workflows
- Iterative processing across many files
- User mentions efficiency/performance
How to Use
Use direct Python imports in Claude Code:
from execution_runtime import fs, code, transform, git
# Git operations
git.git_add(['.'])
git.git_commit('feat: refactor code')
If not installed: Run ~/.claude/plugins/marketplaces/mhattingpete-claude-skills/execution-runtime/setup.sh
Examples
Bulk refactor (50 files):
from execution_runtime import transform
result = transform.rename_identifier('.', 'oldName', 'newName', '**/*.py')
# Returns: {'files_modified': 50, 'total_replacements': 247}
Extract functions:
from execution_runtime import code, fs
functions = code.find_functions('app.py', pattern='.*_util$') # Metadata only!
for func in functions:
code_block = fs.copy_lines('app.py', func['start_line'], func['end_line'])
fs.paste_code('utils.py', -1, code_block)
result = {'functions_moved': len(functions)}
Code audit (100 files):
from execution_runtime import code
from pathlib import Path
files = list(Path('.').glob('**/*.py'))
issues = []
for file in files:
deps = code.analyze_dependencies(str(file)) # Metadata only!
if deps.get('complexity', 0) > 15:
issues.append({'file': str(file), 'complexity': deps['complexity']})
result = {'files_audited': len(files), 'high_complexity': len(issues)}