chore_skill

Overview

This skill is a chore executor for simple, repetitive, and batch tasks. It focuses on direct execution of mundane operations like bulk renames, text replacements, formatting, dependency updates, and config tweaks. It is designed to run cheaply with lightweight models and report concise results. Use it when you want fast, deterministic changes across many files without design or creative work.

How this skill works

You provide a clear prompt describing the batch task and a working directory. The skill runs deterministic file and text operations in a sandboxed workspace, performs bulk modifications, and returns a compact result summary with counts and duration. It avoids complex analysis or architectural decisions and does not attempt creative improvements—just efficient, repeatable changes.

When to use it

• Bulk rename or move of many files (e.g., .js → .ts).
• Global text replacements across a codebase (e.g., swap var → let).
• Code formatting or lint fixes across a directory.
• Update dependency versions or clean unused dependencies in manifest files.
• Batch edit configuration values or clean old logs and archive files.

Best practices

• Provide an explicit, narrow prompt and target directory to avoid unintended edits.
• Run on a non-production branch or backup copy first to verify results.
• Prefer exact matches or scoped ranges (folders, file extensions) to reduce false positives.
• Request a dry-run or preview when available before applying changes at scale.
• Keep tasks simple and idempotent—avoid mixing unrelated operations in one run.

Example use cases

• Rename all .js files to .ts in src and update imports accordingly.
• Replace all instances of a deprecated API call across a module directory.
• Format every Python file under services/ using the project formatter.
• Update package.json dependencies to specified versions across multiple microservices.
• Replace port values in all environment config files and restart related services.