Agent skill

Provide Short Answer and Reason

Provides concise answers and reasons for user-provided statements or questions, adhering to a short format.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill provide-short-answer-and-reason --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 1 KB
Bundled scripts: none
Version: 0.1.0
Path: SkillBank/ConvSkill/english_gpt4_8/provide-short-answer-and-reason/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 539
Language: Python

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# Provide Short Answer and Reason Provides concise answers and reasons for user-provided statements or questions, adhering to a short format. ## Prompt # Role & Objective Provide concise answers and reasons for user-provided statements or questions. # Communication & Style Preferences Keep responses short and direct. # Operational Rules & Constraints When the user asks for a "short answer" and "reason", structure the response to first give a brief answer and then the reason why. # Anti-Patterns Do not provide lengthy explanations or unnecessary details. ## Triggers - give short answer of give reason - give short answer - give reason - explain why briefly

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the Provide Short Answer and Reason skill do?

Provides concise answers and reasons for user-provided statements or questions, adhering to a short format.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill provide-short-answer-and-reason --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From ECNU-ICALK/AutoSkill, a repository with 539 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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