/supergraph:architecture
SkillDev toolsProactive architecture review — explore codebase structure, generate a self-contained HTML report with Mermaid diagrams and candidate improvements, then grill the findings. Use when planning a large refactor, onboarding to an unfamiliar codebase, or before a major architectural change.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the /supergraph:architecture skill
What this skill tells your AI
The instructions your AI receives, as published by datit309/supergraph in plugins/supergraph/skills/architecture/SKILL.md and read by ahel’s review.
Three phases: explore → HTML report → grilling loop.
Announce: "🏛️ /supergraph:architecture — mapping codebase structure..."
Phase 1 — Explore
1a. Read CONTEXT.md:
cat CONTEXT.md 2>/dev/null || echo "No CONTEXT.md"
1b. Codebase Memory overview (optional):
Use CBM_PROJECT with get_architecture aspects overview, layers,
boundaries, clusters, and hotspots. After get_graph_schema, run shared
contract recipes hubs, bridges, cross-boundary, and test-gaps.
If codebase-memory-mcp is unavailable, label graph evidence unavailable, use
Serena/filesystem evidence, and generate Mermaid diagrams from imports.
1c. Serena structure (optional):
mcp__serena__get_symbols_overview()
1d. Read 3-5 hub node files — understand actual structure, naming, patterns.
Phase 2 — Generate HTML Report
Write self-contained docs/supergraph/architecture-review-<YYYY-MM-DD>.html with Tailwind+Mermaid header, architecture graph TD, per-candidate card (Problem/Proposal/Before/After Mermaid/Impact/Trade-offs with badge Strong/Worth exploring/Speculative), plus tables for Test Gaps and Unexpected Coupling.
Open: open docs/supergraph/architecture-review-<date>.html || xdg-open ... || echo "Report saved: ..."
Phase 3 — Grilling Loop
For each Strong candidate, ask one focused question:
"Candidate N proposes [X]. Is this consistent with [constraint from CONTEXT.md / known business rule]?"
Incorporate answers to refine the candidate cards. Mark dismissed candidates as Rejected — [reason].
After grilling, present final prioritized list:
Strong candidates (ready for /supergraph:plan):
1. [Name] — [one-line rationale]
Worth exploring (needs spike first):
2. [Name] — [open question to resolve]
Speculative (park for later):
3. [Name] — [what would need to be true]
Report
✅ /supergraph:architecture complete
- Report: docs/supergraph/architecture-review-<date>.html
- Communities: N | Hub nodes: N | Bridge nodes: N
- Candidates: N Strong, N Worth exploring, N Speculative
- Next: /supergraph:plan (for Strong candidates) or /supergraph:prototype (for uncertain ones)
Rules
- Always open the HTML file automatically
- Mermaid diagrams must reflect actual graph data, not invented structure
- Speculative candidates must be labeled — never present guesses as strong recommendations
- Update CONTEXT.md if review revealed undocumented architectural invariants:
printf '\n## <invariant>\n[description]\n' >> CONTEXT.md - If graph was empty or unavailable, note "Diagram generated from filesystem structure" in the HTML report header
Signals
- GitHub stars
- 22
- Forks
- 5
- Last commit
- Sep 2026
Advanced
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architecture-datit309- Source
- github.com/datit309/supergraph