Skill: Generate code snippets from technical requirements.

[javiercani]

This skill teaches the model to generate functional code snippets based on user-provided descriptions of programming or sysadmin tasks. The input will be a natural language request specifying the task and optionally the desired programming or scripting language (e.g., Python, JavaScript, Shell, Dockers, typescript, NodeJS, React). The expected output is a correctly formatted, syntactically valid, and functionally relevant code snippet that directly addresses the user's request. Examples should demonstrate generating code for common tasks, including necessary imports or configuration elements, and follow standard practices for the specified language

[instruct-lab-bot]

Beep, boop 🤖, Hi, I'm @instructlab-bot and I'm going to help you with your pull request. Thanks for you contribution! 🎉

I support the following commands:

• @instructlab-bot precheck -- Check existing model behavior using the questions in this proposed change.
• @instructlab-bot generate -- Generate a sample of synthetic data using the synthetic data generation backend infrastructure.
• @instructlab-bot generate-local -- Generate a sample of synthetic data using a local model.
• @instructlab-bot help -- Print this help message again.

Note

Results or Errors of these commands will be posted as a pull request check in the Checks section below

Note

Currently only maintainers belongs to [[taxonomy-triagers taxonomy-approvers taxonomy-maintainers instructlab-bot-triagers instructlab-bot-maintainers oversight-committee]] teams are allowed to run these commands.

[javiercani]

@instructlab-bot precheck

[instruct-lab-bot]

User javiercani is not allowed to run the InstructLab bot. Only [taxonomy-triagers taxonomy-approvers taxonomy-maintainers instructlab-bot-triagers instructlab-bot-maintainers oversight-committee] teams are allowed to access the bot functions.