communication-style

Enforce concise, scan-friendly Ralph outputs with structured sections and numbered action steps.

432|40|Updated Jan 11, 2026

Search Tags:#guidelines #concise #output-formatting #Ralph #communication-style #scan-friendly #action-steps

Ready to run

npx skills add https://github.com/tzachbon/smart-ralph --skill communication-style

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: communication-style
Source: https://github.com/tzachbon/smart-ralph/tree/main/plugins/ralph-specum/skills/communication-style
Command: npx skills add https://github.com/tzachbon/smart-ralph --skill communication-style

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This skill ensures Ralph agent outputs are extremely concise, structured for fast scanning, and free of unnecessary wording, improving clarity and speed of decision-making.

Core Features & Use Cases

Brevity-first output: fragments and bullet lists preferred over long sentences.
Structure for scanning: outputs follow a predictable order (overview, main content, unresolved questions, and numbered action steps).
End with action steps: always conclude with concrete, numbered next steps.
Surface questions early: identify and surface unresolved questions before presenting actions.

Quick Start

Enable this style in all Ralph outputs to ensure concise, tabular and bulleted formatting, with a clear progression from summary to details to actions.

Frequently Asked Questions about communication-style

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

FAQPage Schema

How do I format Ralph agent outputs for fast scanning and readability?▼

To format Ralph agent outputs for fast scanning, enforce a strict communication style using fragments and bullet lists instead of prose, ensuring concise and predictable content layout.

What is the best way to structure concise agent task briefs and progress logs?▼

The best way to structure concise agent task briefs and progress logs is by following a predictable order: a brief overview, main content, unresolved questions, and concluding with numbered action steps.

How do I ensure AI agent responses always end with actionable next steps?▼

To ensure AI agent responses always end with actionable next steps, apply a communication style guideline that mandates concluding every output with concrete, numbered actions.

When should I surface unresolved questions in structured agent outputs?▼

You should surface unresolved questions in structured agent outputs before presenting actions, placing them after the main content to identify blockers early and improve decision-making speed.

Does the communication-style skill require any dependencies to format scan-friendly outputs?▼

No, the communication-style skill requires no dependencies to format scan-friendly outputs, operating as a standalone guideline to enforce brevity-first tabular and bulleted formatting for Ralph agents.

Why are bullet points preferred over long sentences in Ralph agent outputs?▼

Bullet points are preferred over long sentences in Ralph agent outputs to eliminate unnecessary wording, improve clarity, and prioritize fragments that enable rapid scanning and faster decision-making.