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commands

Resolve command tokens into structured prompt envelopes for Ravi agent sessions.

6|2|Updated Jan 29, 2026
Search Tags:#automation#workflow#prompt engineering#cli#agent#ravi
One-click install
npx skills add https://github.com/filipexyz/ravi --skill commands-filipexyz
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: commands
Source: https://github.com/filipexyz/ravi/tree/main/src/plugins/internal/ravi-system/skills/commands
Command: npx skills add https://github.com/filipexyz/ravi --skill commands-filipexyz

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill solves the challenge of managing and executing complex, reusable prompt shortcuts within the Ravi agent runtime, ensuring consistent behavior across different sessions and environments.

Core Features & Use Cases

  • Prompt Expansion: Converts simple #command tokens into structured, context-aware prompts before they reach the runtime.
  • Centralized Management: Provides a unified interface to list, validate, and preview commands defined in local or global directories.
  • Use Case: A developer can define a #review-pr command that automatically gathers context and formats a prompt for an AI agent to perform a code review, ensuring the agent always receives the necessary metadata and instructions.

Quick Start

Use the commands skill to validate the current agent command configuration by running the validation command through the Ravi CLI.

Frequently Asked Questions about commands

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

FAQPage Schema
How do I create reusable prompt shortcuts for AI agent workflows?▼

Prompt expansion works by converting simple command tokens into structured, context-aware prompts before they reach the runtime, ensuring the AI agent consistently receives necessary metadata and instructions for durable sessions.

How do I validate and preview prompt commands in an agent workspace?▼

You can validate and preview prompt commands by running the validation command through the CLI, which checks the Markdown-based command definitions configured in local or global directories to ensure consistent runtime dispatching.

Can I use Markdown to define and manage CLI automation commands for agents?▼

Centralized command management provides a unified interface to list, validate, and preview commands defined in local or global directories, ensuring consistent prompt expansion and runtime dispatching across different agent sessions and environments.

What is the best way to ensure consistent prompt behavior across different AI agent sessions?▼

The best way to ensure consistent prompt behavior is to use centralized command definitions that convert tokens into structured prompt envelopes, automatically gathering context and formatting instructions for the agent runtime.

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