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Update Cog

CommunityPopular
huytieu
update-cog

Check for and apply upstream COG framework updates (skills, docs, scripts) without touching personal content

Overview

Publisherhuytieu
RepositoryCOG-second-brain
Skill nameupdate-cog
Stars
1.2K
Forks
138
Bundled files
Instructions only
LicenseMIT
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 huytieu on GitHub. Read the source before you install it.

Installation

Install the Update Cog 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.
  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/huytieu/COG-second-brain.git /tmp/COG-second-brain
mkdir -p .claude/skills
cp -r /tmp/COG-second-brain/skills/update-cog .claude/skills/update-cog
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Update Cog 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 Update Cog 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 Update Cog 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.

COG Update Skill

Purpose

Help the user update their COG framework files (skills, documentation, scripts) from the official upstream repository without risking their personal content (braindumps, profiles, notes).

When to Invoke

  • User asks to "update COG", "check for updates", or "get latest COG version"
  • User mentions wanting new skills or features from upstream
  • User asks about their COG version

Process Flow

1. Check Current Version

Read COG-VERSION from the vault root. If it doesn't exist, inform the user they may be on an older version that predates version tracking.

2. Ensure Upstream Remote

bash
# Add the upstream remote if not already present
git remote get-url cog-upstream 2>/dev/null || \
  git remote add cog-upstream https://github.com/huytieu/COG-second-brain.git

# Fetch latest
git fetch cog-upstream main --quiet

3. Compare Versions

bash
# Local version
cat COG-VERSION

# Upstream version
git show cog-upstream/main:COG-VERSION

If versions match, tell the user they're up to date.

4. Show What Changed

For each framework file, compare local vs upstream:

bash
git diff HEAD..cog-upstream/main -- <file>

Framework files (safe to update — never contain user content):

  • Core docs: README.md, SETUP.md, AGENTS.md, GEMINI.md, CHANGELOG.md, CONTRIBUTING.md
  • Skills: .claude/skills/*/SKILL.md
  • Powers: .kiro/powers/*/POWER.md
  • Gemini: .gemini/commands/*.toml, .gemini/skills/*.md
  • Config: .claude-plugin/plugin.json, marketplace-entry.json, .gitignore
  • Scripts: cog-update.sh
  • Version: COG-VERSION

5. Detect Customizations

Before updating, check if the user has customized any framework files:

bash
# Show how the working tree differs from current upstream HEAD.
# NOTE: this cannot tell a local customization apart from an upstream
# change you have not pulled yet — both show up as a diff. Treat any
# output as "needs a look", not as proof the user edited the file.
git diff cog-upstream/main -- <file>

If a file differs, warn the user and offer options:

  • Keep yours: Skip this file
  • Use upstream: Overwrite with the new version
  • Backup + update: Save current as <file>.backup-YYYYMMDD then update

6. Apply Updates

For files the user approves:

bash
# Surgical file replacement — no merge, no rebase, zero conflict risk
git checkout cog-upstream/main -- <file>

7. Verify & Summarize

After updating:

  • Show the new version number
  • List all files that were updated
  • List any files the user chose to skip
  • Suggest committing the update:
    git add -A && git commit -m "Update COG framework to v<new-version>"

Alternative: Shell Script

For users who prefer a non-AI update, mention the update script:

bash
./cog-update.sh           # Interactive
./cog-update.sh --check   # Just check for updates
./cog-update.sh --dry-run # Preview changes
./cog-update.sh --force   # Update everything

Important Notes

  • Content folders are NEVER touched: 00-inbox/, 01-daily/, 02-personal/, 03-professional/, 04-projects/, 05-knowledge/, 06-templates/ contain user data and are always ignored
  • The .gitignore is designed so content folders are excluded from upstream tracking (only .gitkeep files are tracked)
  • The update script updates itselfcog-update.sh is in the framework file list
  • No merge conflicts possible — this uses git checkout for surgical file replacement, not git merge or git rebase

Frequently asked questions

What does the Update Cog AI skill do?

Check for and apply upstream COG framework updates (skills, docs, scripts) without touching personal content

Why use Update Cog on TypingMind?

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

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

Which AI models can use Update Cog?

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 Update Cog?

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

Is the Update Cog AI skill free?

Yes. It is published on GitHub by huytieu 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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