Generate new text or code content from scratch using natural language prompt via LLM. Creates content from the LLM's own knowledge — no source documents.
Installs into .claude/skills of the current project.
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---
name: generate-note
type: python
description: "Generate new text or code content from scratch using natural language prompt via LLM. Creates content from the LLM's own knowledge — no source documents."
---
# generate-note
LLM-based content generation. Creates new text or code from scratch using natural language instructions.
No source documents — for generation from source material, use `synthesize` instead.
## Input
- `prompt`: Generation instruction (required)
- `style`: `"code"` or `"text"` (optional, default: `"text"`)
- `target_tokens`: Integer (optional). Target output length in tokens. Overrides default max_tokens when provided via OUTPUT GUIDANCE.
## 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)
## Planning Notes
- Use for creating NEW content from scratch (no source material)
- Use `extract` for deriving content from a single Note
- Use `synthesize` for integrating content from multiple documents
- Do NOT pass context — use `synthesize` with source Collections instead
## Examples
```json
{"type":"generate-note","prompt":"Write a Python fibonacci function","style":"code","out":"$fib"}
{"type":"generate-note","prompt":"Explain quantum computing basics","out":"$explanation"}
```
