/supergraph:architecture

SkillDev tools

Proactive 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.

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
Catalog kind
skill
Gateway key
architecture-datit309
Source
github.com/datit309/supergraph