Guide teams in designing and evaluating agent-friendly CLIs.
npx skills add https://github.com/tumf/skills --skill agentic-cli-design
Please help me install this Agent Skill. Skill: agentic-cli-design Source: https://github.com/tumf/skills/tree/main/agentic-cli-design Command: npx skills add https://github.com/tumf/skills --skill agentic-cli-design
## What problem does it solve? Agentic CLI Design provides a structured framework to build CLIs that AI agents can safely and reliably operate, replacing human-centric assumptions with machine-friendly protocols and clear guardrails.
## Core Features & Use Cases The skill codifies seven guiding principles for agent-ready CLIs (machine-readable output, non-interactive by default, idempotent/replayable operations, safe-by-default, observable/debuggable, context-efficient data handling, and introspectable self-description) and ships with a comprehensive scorecard, templates, anti-patterns, and reference guidance. It is intended for designing new CLIs for automation, improving existing CLIs for agent compatibility, and developing agent skills around CLI workflows.
### Quick Start Load this skill into your agent configuration and ask it to apply the seven principles to a CLI design.
High-intent search queries and answers about installing and using this skill.
Agent-friendly CLI design requires machine-readable output, non-interactive defaults, idempotent operations, safe-by-default flags, observability, context efficiency, and introspection so AI agents can reliably execute and parse commands.
Design CLIs for AI agents by enforcing non-interactive defaults and machine-readable output, ensuring commands are idempotent, replayable, and safe-by-default while providing observable debug data and introspectable self-descriptions.
Yes, you can improve existing CLIs for agent compatibility by applying seven principles including machine-readable output, idempotent behavior, and context-efficient data handling, using provided scorecards and anti-pattern references.
Common anti-patterns include interactive prompts that block automation, non-idempotent operations causing duplicate side effects, human-readable-only output, unsafe default actions, and lack of introspectable command metadata for agent context.
Evaluate agent-ready CLIs using a comprehensive scorecard that measures compliance with seven principles: machine-readable output, non-interactive defaults, idempotency, safe-by-default behavior, observability, context efficiency, and introspection.
Yes, non-interactive by default is a core principle of agent-friendly CLI design, ensuring AI agents can execute commands without requiring human input prompts or manual intervention during automated workflows.
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