code-execution

# Code Execution Execute Python locally with API access. **90-99% token savings** for bulk operations. ## 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: ```python 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` ## Available APIs - **Filesystem** (`fs`): copy_lines, paste_code, search_replace, batch_copy - **Code Analysis** (`code`): find_functions, find_classes, analyze_dependencies - returns METADATA only! - **Transformations** (`transform`): rename_identifier, remove_debug_statements, batch_refactor - **Git** (`git`): git_status, git_add, git_commit, git_push ## Pattern 1. **Analyze locally** (metadata only, not source) 2. **Process locally** (all operations in execution) 3. **Return summary** (not data!) ## Examples **Bulk refactor (50 files):** ```python from execution_runtime import transform result = tr...