Screenpipe Team

OrganizationPopular

screenpipe

screenpipe-team

Use the native Screenpipe CLI to query Enterprise team activity or safely preview, deploy, and schedule managed team Pipes. Injected only by the Enterprise app for active admins.

Overview

Publisher	screenpipe
Repository	`screenpipe`
Skill name	`screenpipe-team`
Stars	21.6K
Forks	2.2K
Bundled files	Instructions only
Links	Skill source Repository Homepage

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

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.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
Enable the skill in any chat where you want it available.

Store

Installed

Skills

Add skills

Import one or more skills from a public GitHub folder or a local .skill or .zip archive, or SKILL.md file.

From GitHub URLFrom .skill, .zip, or SKILL.md

GitHub repo or folder

https://github.com/screenpipe/screenpipe/tree/main/crates/screenpipe-core/assets/skills/screenpipe-team

Points to a single skill folder, or any folder that contains multiple skills. Public repos only.

CancelContinue

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

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/crates/screenpipe-core/assets/skills/screenpipe-team .claude/skills/screenpipe-team

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Screenpipe Team 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 Team 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 Team 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 Enterprise admin

Use screenpipe team; it reads the admin token and API base from Screenpipe's Enterprise settings. Never print tokens or read enterprise.json into context.

Choose the smallest command

bash
# Identify a device before searching for one teammate.
screenpipe team devices --raw

# Search first; default to 24h and at most 20 results.
screenpipe team search "TOPIC" --since 24h -n 20 --raw > /tmp/sp-team.jsonl

# Fetch a short chronology only after the device and window are known.
screenpipe team records --device-id DEVICE --since 4h --kind all -n 50 --raw > /tmp/sp-team.jsonl

# Fetch at most 2-3 cited frames, then open the JPEG with your image tool.
sp_team_frame_dir="$(mktemp -d)"
screenpipe team frame --device-id DEVICE --frame-id FRAME_ID --output "$sp_team_frame_dir/frame.jpg"

Only describe pixels after the frame command succeeds and your image tool opens the JPEG. An unavailable frame is not evidence about what was on screen.

Keep context small: check wc -c /tmp/sp-team.jsonl; if it exceeds 5 KB, filter with jq or narrow the query/window instead of printing the whole file. Reference results by timestamp and device, quote only short snippets, respect anonymous user_* labels, and do not volunteer unrelated employee data.

For the user's own machine, use screenpipe-api, not this skill.

Managed team Pipes

bash
screenpipe team pipes list
screenpipe team pipes preview ./my-pipe/pipe.md
screenpipe team pipes deploy ./my-pipe/pipe.md
screenpipe team pipes schedule my-pipe "every day at 9am"

Before any mutation, show the exact preview and target. New deployments default to Cloud Runner; use --device, --member, or --all-runtimes only when the user explicitly chooses that scope. Use --yes for automation only after the same preview is accepted. Version conflicts fail closed; re-list and re-preview rather than overwriting a teammate's change. Use --json for structured receipts.

The CLI explains missing-token and scope errors. Team reads require the relevant read:devices, read:search, or read:records scope; Pipe management requires write:pipes. Direct the user to https://screenpi.pe/enterprise?tab=tokens to mint or rotate a token, then Settings → Privacy → Admin Team API Token.

Frequently asked questions

What does the Screenpipe Team AI skill do?

Use the native Screenpipe CLI to query Enterprise team activity or safely preview, deploy, and schedule managed team Pipes. Injected only by the Enterprise app for active admins.

Why use Screenpipe Team on TypingMind?

Because you install it once and use it with any model. Screenpipe Team 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 Team in TypingMind?

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

Which AI models can use Screenpipe Team?

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 Team?

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

Is the Screenpipe Team 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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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Screenpipe Enterprise admin

Choose the smallest command

Managed team Pipes

Frequently asked questions

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