Cog Onboarding

OrganizationPopular

a5c-ai

cog-onboarding

Personalize COG Second Brain workflow through role pack selection and vault initialization

Overview

Publisher	a5c-ai
Repository	`babysitter`
Skill name	`cog-onboarding`
Stars	1.8K
Forks	106
Bundled files	Instructions only
License	MIT
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 a5c-ai on GitHub. Read the source before you install it.

Installation

Install the Cog Onboarding 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/a5c-ai/babysitter/tree/main/library/methodologies/cog-second-brain/skills/onboarding

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/a5c-ai/babysitter.git /tmp/babysitter
mkdir -p .claude/skills
cp -r /tmp/babysitter/library/methodologies/cog-second-brain/skills/onboarding .claude/skills/cog-onboarding

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

Use it in TypingMind

Enable Cog Onboarding 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 Cog Onboarding 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 Cog Onboarding 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.

Configure one of 7 role packs: Product Manager, Engineering Lead, Engineer, Designer, Founder, Marketer, Custom
Set up user profile with interests, domains, and news sources
Configure external integrations (GitHub, Linear, Slack, PostHog)
Create personalized workflow templates based on role
Initialize Git tracking for the vault

Tool Use Instructions

Use file-read to check for existing vault at the specified path
Use directory-create to build the COG directory structure
Use file-write to create profile.md in 00-inbox with role pack configuration
Use git-init to initialize Git repository in the vault
Use file-write to create .gitignore with privacy-sensitive patterns
Use git-commit to commit initial vault structure

Examples

json
{
  "userName": "Alex",
  "rolePack": "engineer",
  "vaultPath": "./cog-vault",
  "integrations": {
    "github": { "org": "my-org", "repos": ["main-repo"] }
  }
}

Frequently asked questions

What does the Cog Onboarding AI skill do?

Personalize COG Second Brain workflow through role pack selection and vault initialization

Why use Cog Onboarding on TypingMind?

Because you install it once and use it with any model. Cog Onboarding 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 Cog Onboarding in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/a5c-ai/babysitter/tree/main/library/methodologies/cog-second-brain/skills/onboarding. TypingMind reads its SKILL.md and installs it as a skill you can enable per chat.

Which AI models can use Cog Onboarding?

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 Cog Onboarding?

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

Is the Cog Onboarding AI skill free?

Yes. It is published on GitHub by a5c-ai under the MIT 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

Tool Use Instructions

Examples

Frequently asked questions

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