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Get Started Free →mhattingpete/code-refactor
Perform bulk code refactoring operations like renaming variables/functions across files, replacing patterns, and updating API calls.
Passed 12 of 18 test cases with the skill, and 9 of 18 without it.
and 2 more in the full report
5 fixed10 passed either way6 still failing1 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 5 test cases the skill fixed. Same model, same prompt, with and without the skill.
We need to rename `parseConfig` to `readConfig` across 5 files. Which execution mode should be selected for this task?
| Checked | Without skill | With skill |
|---|---|---|
| Selects native tools mode using Grep and Edit rather than automated execution script mode | Missed | Passed |
The instructions your model reads when the skill loads.
Systematic code refactoring across files. Auto-switches to execution mode for 10+ files (90% token savings).
code-execution skillExecution example (50 files):
from api.code_transform import rename_identifier
result = rename_identifier('.', 'oldName', 'newName', '**/*.py')
# Returns: {'files_modified': 50, 'total_replacements': 247}
# ~500 tokens vs ~25,000 tokens traditional
Grep(pattern="getUserData", output_mode="files_with_matches") # Find files
Grep(pattern="getUserData", output_mode="content", -n=true, -B=2, -A=2) # Verify with context
Edit(
file_path="src/api.js",
old_string="getUserData",
new_string="fetchUserData",
replace_all=true
test cases passed, vs 9 / 18 without
More skills from the same source and nearby in the registry, with their headline benchmark lift.