generate-note

通过大语言模型的自然语言提示从头生成新的文本或代码内容。用于收集想法或生成关于某个主题的连贯表述

SKILL.md

--- frontmatter

name: generate-note
type: python
description: "Generate new text or code content from scratch using natural language prompt via LLM. Use to collect thoughts or generate a coherent statement on a topic"

generate-note

LLM-based content generation. Creates new text or code from scratch using natural language instructions.

Input

•prompt: Generation instruction (required)
•style: "code" or "text" (optional, default: "text")
•context: Optional context - Note ID, Collection ID, or plain text string (NOT arrays)

Output

Success (status: "success"):

•value: Generated content (text or code)

Failure (status: "failed"):

•reason: Error description

Behavior

•text (default): Generates prose, summaries, explanations (temperature=0.7)
•code: Generates code with stricter formatting (temperature=0.2)
•Context is auto-resolved: Collection IDs concatenate all Notes, Note IDs fetch content

Planning Notes

•Use for creating NEW content from scratch
•Use refine for editing/transforming EXISTING Note content
•Do NOT pass arrays as context - create a Collection first

Examples

json

{"type":"generate-note","prompt":"Write a Python fibonacci function","style":"code","out":"$fib"}
{"type":"generate-note","prompt":"Summarize quantum computing basics","out":"$summary"}
{"type":"generate-note","prompt":"Refactor to async/await","style":"code","context":"$existing_code","out":"$refactored"}