Architecture author
Architecture docs describe what systems are: where they run, what they depend on, and
the real names of things. They pair with runbooks — runbooks own procedures (how to
diagnose and fix a failure), architecture owns facts (what the component is in the
first place) — and each side chains to the other rather than absorbing it. This skill
writes and maintains those docs. Answering questions from them is the architecture
skill's job, and every write starts there: you search what already exists before
writing anything.
Before you start
Do both of these before anything else here:
- Load the
extensionsskill and have it map the estate: which plugins are registered, where each lives, and their sync state. - Load the
architectureskill and follow it through its search for each system name in scope. It searches every place architecture docs can live. What it finds shapes the whole job: an existing doc means extending it, not writing a sibling.
Skipping them doesn't fail loudly. It just means you wrote a second copy of a doc that already existed, somewhere nobody looked.
The job
Author or extend architecture docs. The heart of it is an interview that resolves what system names actually mean before anything is written: the names people use are ambiguous, and boundaries are decisions the owner makes, not facts an agent infers. → references/write.md [blocked]
Where the new docs go, and how to check they will be found, is references/homes.md [blocked].
The taxonomy
Architecture docs work when they follow a small structural spec — systems are directories (one per thing responders reason about separately, regardless of repo layout), views are root files answering one cross-system question, estate services (observability, the data platform, CI) are directories whose README routes across their tools, the README is the map, and churny values are pointed at rather than copied. The spec lives in references/format.md [blocked]; a corpus may carry its own FORMAT.md, which takes precedence. references/concerns.md [blocked] catalogs the recurring concerns (deployment, database, events, …) and the questions each file answers, and references/examples/ [blocked] is a complete worked example corpus to calibrate depth against.
What this skill is not for
Answering questions from existing docs (that's the architecture skill), diagnosis and
fixes (the runbook that owns the failure), current runtime state (replica counts, flag
values — the docs point at where those live), and product or code-level documentation
(API references, user guides).


