generate-note_skill

Overview

This skill generates new text or code content from a natural language prompt using a language model. It produces original outputs without ingesting or relying on source documents. Choose a style of either prose or code to control tone and formatting.

How this skill works

Provide a prompt describing the desired output and an optional style flag ("text" or "code"). The skill runs the model with different temperature settings depending on style: a higher temperature for creative prose and a lower temperature for precise code. It returns a success payload with the generated content or a failure payload with an error reason.

When to use it

• Creating new articles, blog drafts, or summaries from scratch.
• Generating code snippets, helper functions, or configuration files.
• Drafting emails, marketing copy, or product descriptions quickly.
• Prototyping documentation, examples, or tutorials without source input.
• When you need content based solely on the model's knowledge rather than specific documents.

Best practices

• Give a clear, specific prompt with required constraints and examples if needed.
• Select style="code" for programming outputs to get stricter formatting and lower randomness.
• Use short follow-up prompts to refine output rather than sending very long single prompts.
• Validate generated code before running it and add tests where applicable.
• Avoid passing external context; use the appropriate synthesize/extract workflows when working from source documents.

Example use cases

• Write a Python function to compute Fibonacci numbers (style="code").
• Generate a 300-word product description for a wearable health tracker.
• Produce a step-by-step tutorial explaining a machine learning concept.
• Create unit test scaffolding for a small module in JavaScript.
• Draft a concise investor update email summarizing recent milestones.