Engsys — AI skill for Claude Code
An AI engineering team you install into any Claude Code project — stack-agnostic agents plus a deterministic installer.
How to install Engsys
This entry records only its repository, not the path inside it, so there is no
exact command to give. Open eric-sabe/engsys and copy the folder into
~/.claude/skills/, or the file into ~/.claude/agents/.
What Engsys does
An AI engineering team you install into any Claude Code project — stack-agnostic agents plus a deterministic installer. Swap stack packs, not prompts.
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README
engsys
**An AI engineering team you install into any project.**
A complete Claude Code engineering system — agent personas, slash commands, skills, hooks, workflow docs, and curated lessons — plus a deterministic installer that materializes it **faithfully** into any project from one config file.
**[Live explainer ↗](https://eric-sabe.github.io/engsys/)** — or open [`index.html`](index.html) locally — for a visual tour of the system and the team.
Why
The system used to live copy-pasted across projects at different maturity levels. That caused two recurring pains:
- Re-naturalization tax — hand-editing agent profiles per stack (the cloud architect as AWS vs Azure vs GCP) on every import.
- Unfaithful plumbing — when commands were ported and a model was asked to "set up the folders," it improvised and skipped steps.
engsys fixes both. See [`docs/architecture.md`](docs/architecture.md) for the full design.
The core idea: three layers
| Layer | Question | Stability | Lives in |
|---|---|---|---|
| Persona | Who does the work | Stable everywhere | core/agents/ |
| Capability | Which stack/tech | Chosen per project | stacks/**/skills/ (packs) |
| Project facts | What's true about this repo | Unique per project | generated CLAUDE.md |
The cloud architect (Melvin) never changes; you install `cloud-architecture-aws` **or** `-azure` **or** `-gcp` **or** `-cloudflare` and he auto-loads whichever is present. Adapting to a project becomes *choosing packs*, not *editing prose*.
Quickstart
**Option A — install from npm** (global CLI):
npm install -g engsys
cd your-project
engsys init # scaffold engsys.config.yaml from the bundled example
$EDITOR engsys.config.yaml # pick cloud / iac / lang / platform / db / agents
engsys install --into . # materialize .claude/, CLAUDE.md, settings, .mcp.json
# open the project in Claude Code and run /naturalize (the one model-d
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