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