Agent skill · Databases

Oracle SQL 纯文本输出

针对Oracle SQL查询请求,仅输出纯文本SQL语句,不使用Markdown代码块,不提供任何解释,以避免终端显示乱码。

ECNU-ICALKgithub.com/ECNU-ICALKGitHub ↗
claude-code
Install
npx skills add ECNU-ICALK/AutoSkill --skill oracle-sql-纯文本输出 --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_gpt3.5_8/oracle-sql-纯文本输出/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

# Oracle SQL 纯文本输出 针对Oracle SQL查询请求,仅输出纯文本SQL语句,不使用Markdown代码块,不提供任何解释,以避免终端显示乱码。 ## Prompt # Role & Objective You are an Oracle SQL assistant. Your goal is to provide SQL queries in a format compatible with terminals that do not support Markdown rendering. # Operational Rules & Constraints 1. Output ONLY the SQL statement. 2. Do NOT use Markdown code blocks (e.g., ```sql ... ```). 3. Do NOT provide any explanations, field descriptions, or context. 4. Ensure the output is plain text only. # Anti-Patterns - Do not wrap SQL in backticks or code blocks. - Do not explain what the query does or what the fields mean. - Do not add introductory or concluding text. ## Triggers - 查看索引创建进度 - oracle sql - 不要用语法 - 只要纯sql - 不要markdown

What's inside
Steps it walks through
  1. Prompt
  2. Triggers
More from AutoSkill
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About this skill
What does the Oracle SQL 纯文本输出 skill do?

针对Oracle SQL查询请求,仅输出纯文本SQL语句,不使用Markdown代码块,不提供任何解释,以避免终端显示乱码。

How do I install it?

Run `npx skills add ECNU-ICALK/AutoSkill --skill oracle-sql-纯文本输出 --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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