Architect
SkillFiles & storageSurface architectural friction and propose deepening opportunities — turn shallow modules into deep ones for better testability and AI-navigability. Output: ranked candidate list with deletion-test outcome, leverage/locality scoring, file refs. Never edits code directly; presents candidates and walks the user through grilling-style design decisions for picked candidates. Use when the codebase is hard to change, when /diagnose hands off "no good test seam," or when planning a refactor wave.
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What this skill tells your AI
The instructions your AI receives, as published by indigoai-us/hq-core in .claude/skills/architect/SKILL.md and read by ahel’s review.
Find places where the architecture is the bug. Pattern adapted from mattpocock/skills improve-codebase-architecture.
Glossary — see /codebase-design
/codebase-design is the single source of truth for the deep-module vocabulary — module, interface, implementation, depth, seam, adapter, leverage, locality. Load it for the full definitions and use those terms exactly; never drift into "component," "service," "API," or "boundary."
One-line summary: a deep module puts a lot of behaviour behind a small interface at a clean seam — depth buys leverage for callers and locality for maintainers.
Key heuristics (full treatment in /codebase-design):
- Deletion test: imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep.
- The interface is the test surface.
- One adapter = hypothetical seam. Two adapters = real seam.
- Side effects belong inside deepened modules, not at the call site.
Process
Step 0 — Resolve company + path
- Honour explicit
[company] [path]arguments - Default
pathto cwd if cwd is insiderepos/; else ask viaAskUserQuestion - Resolve company from manifest if path is under
companies/{co}/repos/...
Step 1 — Read the project's domain model + decisions
- Read
<repo>/CONTEXT.mdif present (domain glossary) - Read
<repo>/docs/adr/if present (architectural decisions) - Read
<repo>/.claude/policies/for any soft architecture rules
If CONTEXT.md exists, always use its vocabulary in candidate descriptions. ADRs record decisions the skill should not re-litigate; mark candidates that contradict an ADR with _contradicts ADR-NNNN — but worth reopening because…_ and only when friction is real.
Step 2 — Fan out exploration
Spawn parallel Agent subagent_type=Explore calls — one per top-level slice of the target. Each agent:
- Walks its slice
- Notes friction in the architecture glossary's vocabulary
- Returns ≤500 words under fixed headings: Shallow modules, Tightly coupled seams, Untested interfaces, Pass-throughs (deletion-test wins)
Step 3 — Score and rank candidates
For each friction point, assign:
| Dimension | Question | Score 1-3 |
|---|---|---|
| Deletion test | Would deleting this concentrate complexity? | 3 = yes, strong; 1 = no, just moves it |
| Leverage | Behaviour-to-interface ratio after deepening | 3 = high (lots behind a small interface); 1 = low |
| Locality | Change/bug concentration after deepening | 3 = single place; 1 = stays scattered |
| Test surface | Does the deepened interface become a useful test seam? | 3 = yes, replaces N small unit tests; 1 = no improvement |
| Cost | Refactor effort | 3 = small; 1 = large |
Sum to a single rank. Present top 5–10.
Step 4 — Present candidates (no edits yet)
Output via numbered list, NOT AskUserQuestion first (the list is too long for a 4-option question — present then ask):
## Candidate N — <name in CONTEXT.md vocabulary>
**Files:** <file:line refs>
**Problem:** <friction described in glossary terms>
**Solution (plain English):** <what would change>
**Benefits:** locality: <X>, leverage: <Y>, test improvement: <Z>
**Score:** <total> (deletion: <d>, leverage: <l>, locality: <lo>, test: <t>, cost: <c>)
**Recommendation:** <Strong / Worth exploring / Speculative>
**ADR conflicts:** <none / contradicts ADR-NNNN — re-open because …>
The Recommendation badge is a plain-English read on top of the numeric score: Strong = high score and low risk, tackle first; Worth exploring = real friction but non-trivial cost or uncertainty; Speculative = plausible but the case isn't proven yet. Show both — the number ranks, the badge conveys confidence.
Then ask via AskUserQuestion (multiSelect: true): "Which candidates do you want to explore?" with up to 4 options (paginate if more).
Step 5 — Grilling loop per picked candidate
For each picked candidate, drop into a one-question-at-a-time design conversation:
- What constraints does the deepened module need to satisfy?
- What goes behind the seam? What stays in callers?
- What's the interface — types, invariants, error modes, ordering, config?
- What tests survive the change? What new tests does the seam enable?
- Are there alternative interface shapes worth considering?
Design it twice. When the interface shape is non-obvious, don't settle on the first design. Reuse HQ's Explore fan-out: spin up parallel Agent sub-agents to design the deepened interface several radically different ways (e.g. a data-oriented shape, a callback/handler shape, a builder/pipeline shape). Then compare the returns on depth (behaviour-per-interface), locality (where change concentrates), and seam placement — and bring the winner (or a hybrid) back into the grilling conversation. See /codebase-design's DESIGN-IT-TWICE.md for the pattern.
Side effects happen inline:
- Naming a deepened module after a concept not in
CONTEXT.md→ add the term lazily. - Sharpening a fuzzy term during the conversation → update
CONTEXT.mdright there. - User rejects with a load-bearing reason → offer
/adr, framed as: "Want me to record this as an ADR so future architecture passes don't re-suggest it?" Only offer for reasons future explorers would actually need; skip ephemeral or self-evident ones.
Do not write the refactor. This skill produces the design and the case for it. Implementation goes through /run-project or /tdd.
Step 6 — Save report
Save to workspace/reports/{slug}-architect.md:
# Architect: <repo> @ <path>
**HEAD:** <sha>
**CONTEXT.md present:** yes / no
**ADRs present:** <count>
## Candidates
### 1. <name> — DECISION: <explored / declined / pending>
<full block from Step 4>
#### Grilling notes (if explored)
<key questions + answers>
#### Outcome
- ADR opened: <yes / no — link>
- Implementation queued: <yes — /prd or /run-project ref / no>
### 2. …
Output integration
| Outcome | Next step |
|---|---|
| Candidate explored, design crystallised | /prd (PRD with userStories[] for the refactor) or /run-project (if scope is small) |
| Candidate rejected with load-bearing reason | /adr |
| New domain term surfaced | already updated CONTEXT.md inline |
| Code change shouldn't proceed without test seam | hand off to /tdd |
| Pre-PR review on changed files only | /review --architect-pass |
Rules
- Never edit production code in this skill. Candidates and design only.
- Never propose interfaces in Step 4 — wait for the user to pick before designing.
- Always use CONTEXT.md vocabulary for the domain. Always use the architecture glossary for structure terms.
- Don't list every theoretical refactor an ADR forbids. Only surface ADR-contradicting candidates when the friction is real enough to warrant revisiting the decision.
- Two-adapter rule before declaring a seam. A single adapter is a hypothetical seam, not a real one — don't recommend abstracting until at least two concrete users exist.
Cross-references
/diagnosePhase 6 — entry point when "no good test seam" is the diagnosis./review --architect-pass— narrower scope (changed files only); same heuristics./adr— capture decisions that should not be re-litigated./prd— turn explored candidates into PRD + userStories./tdd— refactor under test once the candidate is designed.- Pattern source:
mattpocock/skillsimprove-codebase-architecture(repos/public/skills/skills/engineering/improve-codebase-architecture/SKILL.md).
Signals
- GitHub stars
- 84
- Forks
- 15
- Last commit
- Sep 2026
- Hacker News mentions
- 20
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architect-indigoai-us- Source
- github.com/indigoai-us/hq-core