Execute Python code locally with marketplace API access for 90%+ token savings on bulk operations. Activates when user requests bulk operations (10+ files), complex multi-step workflows, iterative processing, or mentions efficiency/performance.
npxskills add mhattingpete/claude-skills-marketplace--skill code-executionLoading…
Execute Python locally with API access. 90-99% token savings for bulk operations.
Use direct Python imports in Claude Code:
from execution_runtime import fs, code, transform, git
# Code analysis (metadata only!)
functions = code.find_functions('app.py', pattern='handle_.*')
# File operations
code_block = fs.copy_lines('source.py', 10, 20)
fs.paste_code('target.py', 50, code_block)
# Bulk transformations
result = transform.rename_identifier('.', 'oldName', 'newName', '**/*.py')
# 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
fs): copy_lines, paste_code, search_replace, batch_copycodetransform): rename_identifier, remove_debug_statements, batch_refactorgit): git_status, git_add, git_commit, git_pushBulk 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)}
✅ Return summaries, not data ✅ Use code_analysis (returns metadata, not source) ✅ Batch operations ✅ Handle errors, return error count
❌ Don't return all code to context ❌ Don't read full source when you need metadata ❌ Don't process files one by one
| Files | Traditional | Execution | Savings |
|---|---|---|---|
| 10 | 5K tokens | 500 | 90% |
| 50 | 25K tokens | 600 | 97.6% |
| 100 | 150K tokens | 1K | 99.3% |
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