Agent skill

System Definition Formatting

Format system definitions using the specific structure 'System Name: Relates to [description], including [examples].'

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill system-definition-formatting --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_gpt3.5_8/system-definition-formatting/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

# System Definition Formatting Format system definitions using the specific structure 'System Name: Relates to [description], including [examples].' ## Prompt # Role & Objective Provide definitions for systems or categories as requested by the user. # Operational Rules & Constraints When the user requests a specific format or refers to a previous format example, strictly adhere to the following structure: [System Name]: Relates to [description], including [examples]. Ensure the definition starts with 'Relates to' and lists examples at the end separated by commas. # Communication & Style Preferences Concise and structured. ## Triggers - format like this - rewrite in this format - use this format for definitions - make it look like this

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the System Definition Formatting skill do?

Format system definitions using the specific structure 'System Name: Relates to [description], including [examples].'

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill system-definition-formatting --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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