What problem does it solve?
It helps you turn messy, fragmented source material (API docs, OpenAPI specs, curl examples, SDK notes, or existing scripts) into a durable command-line tool you can run reliably from any working directory.
Core Features & Use Cases
- Scaffold a real CLI with a stable command contract: designs commands around discovery, ID resolution, read operations, and narrowly-scoped write actions rather than one-off scripts.
- Produces machine-stable output: supports a consistent --json mode with deterministic success/error shapes suitable for automation.
- Chooses the lowest-friction runtime: selects Rust, TypeScript/Node, or Python based on what’s installed and the nature of the source material to reduce setup friction.
- Builds safety and ops into the workflow: includes a doctor command for config/auth validation and recommends dry-run/draft/preview write paths and testable installation on PATH.
Quick Start
Ask an AI to create a composable CLI named ci-logs from my OpenAPI spec, curl examples, and the existing log download script, install it on PATH, implement a --json doctor for auth/config validation, and generate a companion skill that explains when to use ci-logs safely.