Company Brain Follow Up Agent

OrganizationPopular

topoteretes

company-brain-follow-up-agent

Turn your latest Granola call into next steps (owner, team, due date, and the Linear issue that already tracks each one) and post them to Slack, using cognee memory of your calls, Linear issues and Gmail inbox. Use when someone asks for the next steps or action items of their latest call. Runs locally; reads Gmail read-only; posts to Slack only when Slack is set up.

Overview

Publisher	topoteretes
Repository	`cognee`
Skill name	`company-brain-follow-up-agent`
Stars	32K
Forks	3.3K
Bundled files	Instructions only
License	Apache-2.0
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 topoteretes on GitHub. Read the source before you install it.

Installation

Install the Company Brain Follow Up Agent 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.
https://github.com/topoteretes/cognee/tree/main/.agents/skills/company-brain-follow-up-agent
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/topoteretes/cognee/tree/main/.agents/skills/company-brain-follow-up-agent

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/topoteretes/cognee.git /tmp/cognee
mkdir -p .claude/skills
cp -r /tmp/cognee/.agents/skills/company-brain-follow-up-agent .claude/skills/company-brain-follow-up-agent

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

Use it in TypingMind

Enable Company Brain Follow Up Agent 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 Company Brain Follow Up Agent 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 Company Brain Follow Up Agent 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.

Company brain: agent for follow-up

Runs the follow-up agent cookbook in examples/cookbooks/company_brain/follow_up_agent/. It remembers your Granola calls, Linear issues and Gmail inbox in the cognee dataset follow_up_agent, then works out the next steps of your latest call and posts them to Slack, or prints them. Setup, the scripts and what each one does are in the cookbook's README.md.

Run every command from the repo root.

Steps

With none of Granola, Linear and Gmail set up, the commands below run on sample calls, issues and email (the [setup] line says so), follow up a fictional call and never post to Slack; only LLM_API_KEY is needed. Tell the user the steps come from sample data. Add --sample to use the sample even when their accounts are set up.

Run uv run python examples/cookbooks/company_brain/follow_up_agent/follow_up_agent.py --check.
- Exit 0: go to step 2. [setup] SKIPPED: lines name optional sources that won't be used; mention them to the user, but they don't block the run.
- Exit 2: each [setup] MISSING: line names one fix. Don't create credentials yourself. Tell the user exactly which line to fix, using the README's "What it needs" table, and stop.
Run uv run python examples/cookbooks/company_brain/follow_up_agent/follow_up_agent.py. Add --days N if the user named a time range, and --no-linear / --no-email if they don't want a source used.
The steps are everything after the [follow_up] Posted to Slack: or [follow_up] Steps line. Give them to the user, say which call they come from (the [follow_up] Call: line), which sources went in (the [ingest_*] lines), and whether they were posted.
If a script fails, follow_up_agent.py exits 1 with a line naming what went wrong. Run that script from examples/cookbooks/company_brain/follow_up_agent/scripts/ on its own to look closer.

Rules

Gmail access is read-only.
With Slack set up, a run posts to the user's real channel, and every run reads the user's real calls, issues and mailbox and uses LLM credits, so run it only when the user asked for it.
Don't print the contents of credentials.json, token.json or .env.
A sample run forgets the cookbook's dataset follow_up_agent before it ingests (the [clear] line). On the user's own data, pass --clear only when they asked to start over: it forgets everything the dataset holds.
Don't pass --ui unless the user asked to browse the graph: it keeps running until Ctrl+C.

Clean up

bash
uv run cognee-cli forget --dataset follow_up_agent

Frequently asked questions

What does the Company Brain Follow Up Agent AI skill do?

Why use Company Brain Follow Up Agent on TypingMind?

Because you install it once and use it with any model. Company Brain Follow Up Agent 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 Company Brain Follow Up Agent in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/topoteretes/cognee/tree/main/.agents/skills/company-brain-follow-up-agent. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Company Brain Follow Up Agent?

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 Company Brain Follow Up Agent?

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

Is the Company Brain Follow Up Agent AI skill free?

Yes. It is published on GitHub by topoteretes under the Apache-2.0 license. 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

Company brain: agent for follow-up

Steps

Rules

Clean up

Frequently asked questions

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