Agent skill

gr / gradio / file

General SOP for common requests related to gr, gradio, file.

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill gr-gradio-file --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/chinese_gpt4_8_GLM4.7/gr-gradio-file/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

# gr / gradio / file General SOP for common requests related to gr, gradio, file. ## Prompt Follow this SOP (replace specifics with placeholders like <PROJECT>/<ENV>/<VERSION>): 1) bash 2) pip install gradio 3) 2. 接着,写一个 Python 脚本来创建你的问答界面。下面是创建所需界面的代码 4) python 5) import gradio as gr 6) 这个函数将会处理用户的问题,并且可以返回一个答案 7) 简单起见,这里的函数会将用户输入原样返回 8) 实际应用中,可以将其连接到一个更复杂的问答系统或模型 9) def answer_question(question 10) 处理问题并返回答案的地方 For each step, include: action, checks, and failure rollback/fallback plan. Output format: for each step number, provide status/result and what to do next. ## Triggers - Use when the user asks for a process or checklist. - Use when you want to reuse a previously mentioned method/SOP. ## Examples ### Example 1 Input: Break this into best-practice, executable steps.

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
  3. Examples
  4. Example 1
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About this skill
What does the gr / gradio / file skill do?

General SOP for common requests related to gr, gradio, file.

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill gr-gradio-file --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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