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Screenpipe Tauri

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screenpipe
screenpipe-tauri

Add or change Tauri commands and TypeScript bindings in the screenpipe desktop app. Use when editing

Overview

Publisherscreenpipe
Repositoryscreenpipe
Skill namescreenpipe-tauri
Stars
21.9K
Forks
2.2K
Bundled files
Instructions only
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • Self-contained

    Everything the model needs lives in the instructions — no extra files to sync.

  • Open source

    Published by screenpipe on GitHub. Read the source before you install it.

Installation

Install the Screenpipe Tauri AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/screenpipe/screenpipe/tree/main/.claude/skills/screenpipe-tauri
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/screenpipe/screenpipe.git /tmp/screenpipe
mkdir -p .claude/skills
cp -r /tmp/screenpipe/.claude/skills/screenpipe-tauri .claude/skills/screenpipe-tauri
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Screenpipe Tauri in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Screenpipe Tauri on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Screenpipe Tauri is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Screenpipe Tauri (desktop app)

Path: apps/screenpipe-app-tauri/

Command registration is automated via the tauri-helper crate. Do not edit manual invoke-handler or specta command lists in main.rs.

Adding a command

  1. Add both markers to the handler function in any src-tauri/src/**/*.rs module:
    rust
    #[tauri::command]
    #[specta::specta]  // required — without this the command is skipped in tauri.ts
    pub async fn your_command(...) { ... }
  2. From apps/screenpipe-app-tauri/:
bash
bun run bindings:generate   # write lib/utils/tauri.ts
bun run bindings:check      # verify no drift
bun run typecheck           # verify frontend types
  1. Commit Rust + lib/utils/tauri.ts together

Scripts

CommandPurpose
bun run bindings:checkFail if checked-in lib/utils/tauri.ts does not match Rust
bun run bindings:generateRegenerate lib/utils/tauri.ts after command/type changes
bun run typecheckFrontend TypeScript check

Key files

  • src-tauri/build.rs — tauri_helper::generate_command_file (build-time scan)
  • src-tauri/src/main.rs — specta_collect_commands!() / tauri_collect_commands!()
  • src-tauri/src/specta_bindings.rs — export helpers and drift tests
  • lib/utils/tauri.ts — generated TypeScript bindings (checked in)

Debug builds also auto-export bindings on startup when content changes.

Frequently asked questions

What does the Screenpipe Tauri AI skill do?

Add or change Tauri commands and TypeScript bindings in the screenpipe desktop app. Use when editing

Why use Screenpipe Tauri on TypingMind?

Because you install it once and use it with any model. Screenpipe Tauri is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Screenpipe Tauri in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/screenpipe/screenpipe/tree/main/.claude/skills/screenpipe-tauri. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Screenpipe Tauri?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Screenpipe Tauri?

As many as you like. As long as a model supports skills, you can use Screenpipe Tauri with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Screenpipe Tauri AI skill free?

It is published on GitHub by screenpipe. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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