Installable skill packs that give AI agents deep domain expertise.
Project description
Agentic Stacks
Installable skill packs that give AI agents deep domain expertise. A stack is a git repo that teaches an agent how to operate in a specific domain — deploying OpenStack, bootstrapping Kubernetes, managing server hardware, and more.
Pull a stack into your project and your AI agent instantly knows how to deploy, manage, troubleshoot, and upgrade the target software. Stacks teach agents and humans — amplifying what you can accomplish together.
How It Works
# Start a project using a stack
agentic-stacks init agentic-stacks/openstack-kolla my-cloud
cd my-cloud
# Now talk to the agent — it knows OpenStack
# "I need an HA OpenStack cloud with OVN networking and Ceph storage
# on these 10 hosts..."
The agent reads the stack's skills, asks the right questions, and creates the deployment configs. Everything it creates goes into your repo — reproducible, version-controlled, yours.
Compose multiple domains
Need hardware expertise alongside your platform stack? Pull in more skills:
agentic-stacks pull hardware-dell # now it knows Dell servers too
agentic-stacks list # see what's loaded
The agent reads all stacks and combines their expertise — hardware provisioning, platform deployment, and everything in between.
Capture learnings as you go
Hit an issue? Ask your agent to document it. Stacks get smarter over time — every workaround, gotcha, and fix feeds back into the stack for the next person.
"That NTP fix we just did — add it to known issues for this version."
Available Stacks
| Stack | Target | Skills |
|---|---|---|
| docker | docker | 21 |
| kubernetes-talos | talos-linux | 20 |
| openstack-kolla | openstack | 8 |
| ceph | ceph | 17 |
| hardware-dell | Dell PowerEdge | 18 |
| hardware-hpe | hpe-ilo | 16 |
| hardware-supermicro | Supermicro BMC | 17 |
| frr | frr | 35 |
| ipxe | ipxe | 20 |
Browse all stacks at agentic-stacks.com/stacks.
Install
pip install agentic-stacks
CLI
# Start a new project from a stack
agentic-stacks init agentic-stacks/openstack-kolla my-project
# Pull stacks into .stacks/
agentic-stacks pull # pulls all from stacks.lock
agentic-stacks pull hardware-dell # add another stack
# Manage stacks
agentic-stacks list # see loaded stacks
agentic-stacks update # update all to latest
agentic-stacks update --check # check without updating
agentic-stacks remove hardware-dell # remove a stack
# Search for stacks
agentic-stacks search kubernetes
# Create a new stack (for stack authors)
agentic-stacks create my-org/my-stack
# Validate a stack
agentic-stacks doctor --path ./my-stack
What a Stack Looks Like
A stack is a git repo with this structure:
openstack-kolla/
├── CLAUDE.md # Agent entry point — the expertise guide
├── stack.yaml # Manifest — identity, skills, metadata
├── skills/ # Markdown knowledge — teaches the agent
│ ├── deploy/
│ ├── health-check/
│ ├── config-build/
│ └── diagnose/
└── ...
The CLAUDE.md is the product — it's what makes the agent an expert. The skills directory contains detailed knowledge the agent references during operations.
What a User's Project Looks Like
After init and working with the agent:
my-cloud/
├── .stacks/ # pulled stack repos (gitignored)
│ ├── openstack-kolla/ # platform expertise
│ └── hardware-dell/ # hardware expertise
├── CLAUDE.md # points agent to .stacks/*/CLAUDE.md
├── stacks.lock # pinned stack references
├── globals.yml # kolla-ansible config (agent created this)
├── inventory/hosts.yml # ansible inventory (agent helped build this)
└── ...
The output is native format for whatever tool the stack wraps. No custom formats — just the configs the tool expects.
Distribution
Stacks are git repos. Pull clones them. No package managers, no tarballs.
- Curated stacks live under the
agentic-stacksGitHub org - Third-party stacks live in their own repos — pull by
org/name
agentic-stacks pull openstack-kolla # → github.com/agentic-stacks/openstack-kolla
agentic-stacks pull someuser/their-stack # → github.com/someuser/their-stack
Author a Stack
See the authoring guide for how to create and publish your own stack.
agentic-stacks create my-org/my-stack
# edit skills, CLAUDE.md, stack.yaml
agentic-stacks doctor --path ./my-stack
agentic-stacks publish --path ./my-stack
Development
pip install -e ".[dev,local,mcp]"
pytest -v --tb=short
License
MIT — see LICENSE.
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