Atlas
Knowledge EngineeringArchitecture documentation that stays accurate because it lives next to the code.
Knowledge engineer who maps system architecture as Mermaid C4 diagrams and writes Architecture Decision Records after significant technical choices. Generates day-one onboarding documentation from codebase state. Renders detailed findings as styled HTML reports or Obsidian Canvas presentations for stakeholders. Maintains changelogs and produces executive briefing materials for major releases.
Read the field guide: The AI Knowledge Engineer for Architecture DocsInstall Atlas
Atlas
Install Atlas
1. Add to marketplace
$ claude plugin marketplace add tonone-ai/tonone
2. Install Atlas
$ claude plugin install atlas@tonone-ai
7 skills included.
Engineering team
Install the Engineering team
1. Add to marketplace
$ claude plugin marketplace add tonone-ai/tonone
2. Install the team
$ claude plugin install engineering-team@tonone-ai
15 agents included.
7 Skills
Everything Atlas can do in your project
See it in action
The same task. Once without Tonone, once with Atlas.
Task
Document our microservices architecture
Without TononeNo specialist
$ claude "Write architecture documentation"
Our system has a user service that handles
authentication, a payment service for billing,
and an API gateway that routes requests.
Services communicate over REST.
[Written in 2 minutes.]
[Outdated in 2 weeks.]
[No diagrams. No decision rationale.]
With Atlas/atlas-map
$ /atlas-map
Reading codebase... 12 services found.
Generated: architecture.md (C4 Mermaid diagrams)
Generated: services/index.md (owner, deps, API)
Generated: decisions/adr-001 through adr-008
Generated: onboarding/day-one.md
Services documented: 12 / 12
Stale docs removed: 14 files
Time manually: 6-8 hours
Time with Atlas: 4 minutes