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npm for your coding agent. Install packs of skills, subagents, and hooks into any repo, for every major agent.

Project description

agentbundle

PyPI Python License

The installer for agent-ready-repo. Think npm, but for the skills, subagents, and hooks your coding agent runs on.

agentbundle installs packs of agent primitives into your repo or your home directory. It projects each primitive into the layout every agent expects. One pack. One command. Every major agent.

pip install agentbundle
agentbundle install --pack core git+https://github.com/eugenelim/agent-ready-repo

That lands core, the flagship pack and the loop itself, in your repo. Claude Code, Codex, Cursor, Copilot, Gemini, and Kiro all read it.

Common commands

# See what's in a catalogue
agentbundle list-packs git+https://github.com/eugenelim/agent-ready-repo

# Install the flagship loop into this repo
agentbundle install --pack core git+https://github.com/eugenelim/agent-ready-repo

# Install a pack at user scope, so it follows you across every project
agentbundle install --pack research git+https://github.com/eugenelim/agent-ready-repo --scope user

# Preview an install without writing a file
agentbundle install --pack core git+https://github.com/eugenelim/agent-ready-repo --dry-run

# Upgrade a pack; it reports the .upstream files you need to reconcile
agentbundle upgrade --pack core --to 0.4.0 git+https://github.com/eugenelim/agent-ready-repo

A catalogue is a git URL or a local path. Installs auto-detect your agent; pass --adapter to override.

Build your own catalogue

agentbundle isn't tied to the agent-ready-repo catalogue. Any repo that lays its packs out the same way can use it. A pack is a directory:

my-pack/
  pack.toml                  # name, version, adapter-contract, install scope
  .apm/
    skills/<name>/SKILL.md    # one folder per skill
    agents/<name>.md          # subagents
    hooks/<name>.py           # lifecycle hooks
  seeds/                      # files scaffolded into the adopter repo

Point a catalogue URI (a git URL or a local path) at the repo that holds your packs. Then validate a pack against the adapter contract, render it to preview the projection, and install it into a target repo. scaffold drops a pack's seeds into a fresh directory to start from. The build pipeline (agentbundle.build) is the same engine make build runs.

See the pack layout reference and authoring a skill.

Credentials

agentbundle doesn't resolve secrets. Credentialed skills use credbroker, a standalone resolver that keeps cleartext out of the model's reach.

Learn more

The full story — the loop, the reviewers, the pack catalogue — is in the agent-ready-repo README.

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