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Documentation Index

Fetch the complete documentation index at: https://docs.spote.cloud/llms.txt

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In addition to tools, Spote exposes MCP prompts — pre-written instructions that tell your agent how to handle common note-taking workflows. Prompts are activated from your AI client: Claude Desktop shows them in the slash menu when you type /prompts, and other clients may surface them differently depending on their interface.
Prompts work alongside tools — your agent can call capture to structure content and then automatically invoke create_note to save it.

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Available prompts

What it doesThe capture prompt takes raw text and instructs your agent to extract a title, suggest an appropriate bucket, propose relevant tags, and then call create_note to save the structured note to Spote. It turns unstructured input — a paste, a thought, a paragraph — into a well-organized note without any manual work.Parameters
  • text — string, required. The raw text you want to capture.
How to trigger itIn Claude Desktop, type /prompts and select capture, then paste the text you want to save. In other MCP clients, look for a prompts panel or slash command that lists available prompts.Example interaction
You: /prompts → capture → “Talked to Sara today about the onboarding redesign. Key insight: users drop off because the first screen asks for too much information. We should reduce it to email only.” Agent: I’ll save this as a note in Spote. I’m extracting a title (“Onboarding redesign insight — Sara”), suggesting the bucket “Product”, and proposing the tags #onboarding and #ux. Saving now… Agent: Note saved. View it in Spote →
What it doesThe daily_summary prompt instructs your agent to fetch all notes created or updated today and produce a structured summary grouped by bucket and tag. It gives you a quick end-of-day overview of everything you captured, organized by topic.ParametersNone.How to trigger itIn Claude Desktop, type /prompts and select daily_summary. No additional input is needed — the agent fetches your notes automatically.Example interaction
You: /prompts → daily_summary Agent: Here’s what you captured today: Work (3 notes)
  • “Meeting recap: Q3 planning” — #mcp, #sprint
  • “API design decision: pagination” — #api, #backend
  • “PR review notes for auth refactor” — #auth
Ideas (1 note)
  • “Blog post idea: AI memory patterns” — #writing, #ai