What problem does it solve? Running raw shell commands from an AI agent often produces bloated output, wasted tokens, and inconsistent behavior across projects. This Skill standardizes how terminal commands are executed by enforcing a pre-flight checklist, routing commands through a configured terminal wrapper, and preventing oversized output. ## Core Features & Use Cases - Pre-flight Checklist: Verifies wrapper configuration, working directory, and related skill invocation before every command. - Wrapper Subcommand Mapping: Maps raw commands (git, npm, cargo, pytest, docker, and more) to compressed wrapper subcommands defined in project spec files. - Output Truncation Control: Guides use of scope flags and pipes like --stat, --oneline, head, and tail to keep command output under control. - Use Case: Before running git log or a test suite, the agent checks <project-root>/docs/terminal-wrappers.md, prefixes the command with the configured wrapper, and adds compact flags so the output stays readable and token-efficient. ## Quick Start Read the project docs for terminal wrappers and then run my test suite using the configured terminal wrapper with compact output.
