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@agentteamland

agentteamland

atl demo

AgentTeamLand

The land where AI agent teams forge production software.
A package ecosystem for curated teams of AI agents.


What is this?

AgentTeamLand is a package manager + registry for teams of AI agents. Each team bundles a set of specialized agents (plus their skills and rules) for a specific kind of work — full-stack web apps, data pipelines, mobile-first products, game servers, whatever you need.

Install a team once, and every agent it contains is symlinked into your project's Claude Code directory. Teams can extend other teams, override agents by name, and exclude ones you don't need — so building on someone else's work doesn't mean maintaining a fork.

Install atl

Platform Command
macOS / Linux brew install agentteamland/tap/atl
Windows (Scoop) scoop bucket add agentteamland https://github.com/agentteamland/scoop-bucket
scoop install atl
Windows (winget) winget install agentteamland.atl (awaiting Microsoft review)
Manual Download from Releases

Install a team

atl install software-project-team

That's it. The team clones into a shared cache, and every agent / skill / rule it provides symlinks into your project's .claude/. You can now start using /create-new-project, /verify-system, or invoke any of the 13 specialized agents from Claude Code.

Team catalog

Teams are listed in the public registry. Install any of them by short name.

Team Status Stack Install
software-project-team ✅ verified .NET 9 + Flutter + React + Docker atl install software-project-team
starter-extended example extends software-project-team atl install starter-extended

More teams incoming. Submit yours.

Core packages

If you're building tooling on top of AgentTeamLand, these are the pieces you work with:

Package What it does
cli atl binary — the package manager CLI (Go)
registry Public teams.json — the catalog you see above
team-manager /team skill + bootstrap install.sh (inside Claude Code)
core /save-learnings, /wiki, /create-code-diagram, global rules, JSON schemas
brainstorm /brainstorm skill for structured decision capture
rule /rule + /rule-wizard

Philosophy

  • API is the brain. 99% of business logic lives in the API. Frontend and workers are thin bridges.
  • One architecture, every project. Vertical Slice + Clean Architecture + martinothamar/Mediator. No alternatives.
  • Docker-only. No local SDK installs. Flutter is the single exception.
  • Agents have children. agent.md holds identity; children/ holds deep, topical knowledge.
  • Verify everything. /verify-system proves the system works end-to-end — containers, ports, pipelines, auth — before any deploy.

Author your own team

If your work needs a different stack, build a team:

  1. Create a git repo with a team.json at its root (validates against the team schema)
  2. Add agents under agents/<name>/agent.md, skills under skills/<name>/skill.md, rules under rules/<name>.md
  3. (optional) Extend an existing team with extends: "software-project-team@^1.0.0", override agents by name, exclude ones you don't want
  4. Open a PR against agentteamland/registry — CI validates schema + URL reachability, maintainers review, your team goes live

Full guide: scaffolder-spec.md.

License

MIT — each repo in the org has its own LICENSE file.

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  1. software-project-team software-project-team Public

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  2. team-manager team-manager Public

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  3. brainstorm brainstorm Public

  4. rule rule Public

  5. core core Public

  6. create-project create-project Public

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