Company Brain Company Qa logo

Company Brain Company Qa

OrganizationPopular
topoteretes
company-brain-company-qa

Build one company memory from a SQL database, a support ticket export and a folder of documents, linked into one graph by cognee, then answer questions that need several of those sources together. Use when someone wants to connect their company's database, tickets and docs, or asks who owns, decided or is handling something across them. Runs locally; reads the sources, writes only to cognee's memory.

Overview

Publishertopoteretes
Repositorycognee
Skill namecompany-brain-company-qa
Stars
32K
Forks
3.3K
Bundled files
Instructions only
LicenseApache-2.0
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 topoteretes on GitHub. Read the source before you install it.

Installation

Install the Company Brain Company Qa 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/topoteretes/cognee/tree/main/.agents/skills/company-brain-company-qa
  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/topoteretes/cognee.git /tmp/cognee
mkdir -p .claude/skills
cp -r /tmp/cognee/.agents/skills/company-brain-company-qa .claude/skills/company-brain-company-qa
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Company Brain Company Qa 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 Company Qa 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 Company Qa 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: company Q&A

Runs the company brain cookbook in examples/cookbooks/company_brain/company_qa/. It remembers a SQL database, a ticket export and a docs folder in the cognee dataset company_qa, extracts them with one graph model so the same person, team or project becomes one node, then answers a question across them. Setup, the scripts and what each one does are in the cookbook's README.md.

Run every command from the repo root.

Steps

  1. Work out the sources. Ask the user for the ones they want: a database URL (and tables), one or more ticket export files (JSON or CSV), a docs folder. If they have none, or want to see it work first, pass no sources: the run then uses the sample company (the [setup] line says so). Tell the user the answer comes from sample data.
  2. Run uv run python examples/cookbooks/company_brain/company_qa/company_qa.py --check with the sources (--database URL [--tables a,b] --tickets FILE [FILE ...] --docs FOLDER), or none for the sample.
    • Exit 0: go to step 3.
    • Exit 2: each [setup] MISSING: line names one fix. Don't create credentials yourself. Tell the user which line to fix, using the README's "What it needs" table, and stop.
  3. Run the same command without --check, adding the user's question as --ask "...". On the sample with no --ask, it asks a question that needs all three sample sources.
  4. The answer is everything after [ask] A:. Give it to the user. The [ingest] lines say which sources went in.
  5. Later questions don't need the sources again: uv run python examples/cookbooks/company_brain/company_qa/scripts/ask.py "...".
  6. If a script fails, company_qa.py exits 1 with a line naming what went wrong. Run that script from examples/cookbooks/company_brain/company_qa/scripts/ on its own to look closer.

Rules

  • The sources are the user's company data. Don't quote them beyond what answers the question, and don't print .env or a database URL's password.
  • Every run uses LLM credits, so ingest only when the user asked for it.
  • A sample run forgets the cookbook's dataset company_qa 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 company_qa

Frequently asked questions

What does the Company Brain Company Qa AI skill do?

Build one company memory from a SQL database, a support ticket export and a folder of documents, linked into one graph by cognee, then answer questions that need several of those sources together. Use when someone wants to connect their company's database, tickets and docs, or asks who owns, decided or is handling something across them. Runs locally; reads the sources, writes only to cognee's memory.

Why use Company Brain Company Qa on TypingMind?

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

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

Which AI models can use Company Brain Company Qa?

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 Company Qa?

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

Is the Company Brain Company Qa 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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