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rbergman
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agent-dx-cli

Standardize agent-friendly command-line interfaces with JSON output contracts.

11|5|Updated Jan 9, 2026
Search Tags:#automation#workflow#design#CLI#patterns#agents#json-output
One-click install
npx skills add https://github.com/rbergman/dark-matter-marketplace --skill agent-dx-cli
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-dx-cli
Source: https://github.com/rbergman/dark-matter-marketplace/tree/main/plugins/tooling/skills/agent-dx-cli
Command: npx skills add https://github.com/rbergman/dark-matter-marketplace --skill agent-dx-cli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve?

This Skill provides patterns for designing command-line tools that agents can use effectively, enabling reliable and agent-friendly CLIs with minimal ceremony and clear output contracts.

Core Features & Use Cases

  • Patterns for minimal ceremony, deterministic commands, JSON output, and context injection
  • Guidance for batch operations, error handling, and agent execution contracts
  • Use Case: a developer creates a CLA CLI that agents can invoke with a single command and receive structured JSON for downstream processing.

Quick Start

Start a new CLI project by following the agent-dx-cli patterns: implement a prime command to expose workflow context, ensure --json support on commands, and provide a self-documenting skill output command.

Frequently Asked Questions about agent-dx-cli

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I design a CLI for AI agents that returns structured JSON output?▼

To design a CLI for AI agents, implement a prime command to expose workflow context, ensure --json support on all commands, and provide a self-documenting output command for agent discoverability.

What is an agent execution contract for command-line tools?▼

An agent execution contract defines deterministic command behaviors, structured JSON outputs, and explicit error handling rules so autonomous agents can reliably operate CLI tools without ambiguity.

Can I use agent-dx-cli patterns for batch operations in developer workflows?▼

Yes, the patterns support batch operations and context injection for developer workflows, enabling autonomous agents to execute multiple CLI commands sequentially with reliable JSON-based communications.

Do I need specific dependencies to build agent-friendly command-line interfaces?▼

No external dependencies are required to build agent-friendly command-line interfaces, as the patterns focus on formal skill metadata structure, frontmatter definitions, and safety checks without mandatory packages.

What is the best way to standardize CLI tool design for autonomous agents?▼

Standardizing CLI tool design for autonomous agents requires enforcing a formal metadata structure with frontmatter, explicit components, safety checks, and JSON-based communication contracts to ensure deterministic execution.

Why does my AI agent fail to parse command-line tool output correctly?▼

AI agents fail to parse command-line output when CLIs lack structured JSON support and deterministic command behaviors, forcing unreliable text parsing instead of formal output contracts for downstream processing.

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