packmind

Name: packmind
Author: PackmindHub

Warning

Packmind seamlessly captures your engineering playbook and turns it into AI context, guardrails, and governance.

301stars

15forks

TypeScript

Installation

# Add to your Claude Code skills
git clone https://github.com/PackmindHub/packmind

Getting Started

Guides for using ai agents skills like packmind.

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Last scanned: 5/30/2026

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README.md

Frequently Asked Questions

What is packmind?

packmind is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by PackmindHub. Packmind seamlessly captures your engineering playbook and turns it into AI context, guardrails, and governance. It has 301 GitHub stars.

Is packmind safe to use?

packmind returned warnings in SkillsLLM's automated security scan. It has no critical vulnerabilities, but review the flagged issues in the Security Report section before adding it to your workflow.

How do I install packmind?

Clone the repository with "git clone https://github.com/PackmindHub/packmind" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is packmind written in?

packmind is primarily written in TypeScript. It is open-source under PackmindHub on GitHub, so you can review or fork the full source.

Are there alternatives to packmind?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh packmind against similar tools.

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Related Skills

superpowers

by obra

An agentic skills framework & software development methodology that works.

234,966

notebook-intelligence the-startup

One Engineering Playbook. Synced Everywhere. For Every AI Coding Agent.

License Stars

❗ The 2 big problems every AI-native engineer runs into

1️⃣ “What do I even put in these AI instructions?”

Every tool expects its own inputs:

Copilot → .github/copilot-instructions.md, chat modes, reusable prompts
Claude → CLAUDE.md, commands, skills
Cursor → .cursor/rules/*.mdc, commands, skills
AGENTS.md → AGENTS.md
(with more formats appearing every month…)

But your team’s actual standards aren’t stored anywhere:

architecture rules → buried in Slack or Notion
naming conventions → stuck in your head
patterns → hiding in PR comments
best practices → scattered across repos

👉 Packmind helps you turn all of this into a real engineering playbook (standards, commands, skills) so AI agents finally code your way.

2️⃣ “Why am I copy-pasting this across every repo and every agent?”

Every repo. Every assistant. Different files, different folders, different formats.

Keeping everything in sync is impossible.

👉 Packmind centralizes your playbook once — and distributes it everywhere, generating the exact instruction files each AI tool needs, optimized for context.

🆚 Why Packmind over a plain Claude Code marketplace or a plain centralized Git repository?

A marketplace distributes skills and commands from a Git repo. Packmind does more:

Controlled editing: context files go through a clear ownership and approval workflow. No PR discipline or CODEOWNERS conventions to enforce.
Simplified updates: update proposals are submitted from the project codebase, no separate repo to clone or PR.
Multi-agent: one source, rendered for Claude Code, Copilot, Cursor and more. No parallel CLAUDE.md or .cursor/rules to maintain.
Adoption tracking: see which context files are used, in which repo, at which version.

A marketplace ships content. Packmind governs it.

Get started

Choose your preferred setup option:

Cloud version: Get started at https://app.packmind.ai (free account)
Self-hosted: Deploy on your own infrastructure using Docker Compose or Kubernetes

Option 1: Install the CLI (recommended)

Follow the instructions during the onboarding to connect to your Packmind organization You can find them at anytime in the Settings menu.

Once authenticated, run in your project:

$> packmind-cli init

Then, in your favorite ai coding agent, run:

/packmind-onboard

To create your first standards and commands from your codebase.

Documentation

Available here: https://docs.packmind.com.