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microsoft/hve-core/adrs
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PublishedOctober 2, 2026 at 12:43 AM
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version: "1.0.0" id: "0008" title: "Adopt a reusable architecture-diagrams skill for IaC-derived diagrams" description: "Adopt a single reusable architecture-diagrams skill as the shared capability for turning infrastructure-as-code sources into ASCII block diagrams or Mermaid flowcharts, invokable from any HVE-Core agent or chat context with the caller choosing the output format." author: "HVE Core Maintainers" ms.date: "2026-09-22" ms.topic: "reference" status: "accepted" proposed_date: "2026-06-17" accepted_date: "2026-06-18" deciders:

  • "HVE Core Maintainers"

consulted:

  • "HVE Core Contributors"
  • "HVE-Core agent authors"

informed:

  • "hve-core users"
  • "extension consumers"

effort: "S" tags:

  • "skill"
  • "architecture"
  • "diagrams"
  • "reuse"
  • "tooling"

affected_components:

  • ".github/skills/hve-core/architecture-diagrams/SKILL.md"
  • ".github/agents/project-planning/adr-creation.agent.md"
  • ".github/agents/project-planning/brd-builder.agent.md"
  • ".github/agents/project-planning/prd-builder.agent.md"
  • ".github/agents/project-planning/network-isa95-planner.agent.md"
  • ".github/agents/project-planning/system-architecture-reviewer.agent.md"

supersedes: null superseded-by: null related: [] asr_triggers: [] decisionMetadata: driverToTriggerMap: "Token optimization": "On-demand skill loading keeps each agent's base context lean." "Reuse across agents": "A single shared skill is invoked by every consuming agent instead of duplicating logic." "Clean multi-agent integration": "Any agent or chat session invokes the skill without bespoke wiring." "Format-agnosticism": "The caller chooses ASCII or Mermaid output; neither is forced as a default."


Context

Multiple HVE-Core agents need to turn infrastructure-as-code sources (Terraform, Bicep, ARM, shell, Kubernetes, Docker/Compose) into architecture and network diagrams. Authoring that logic inline inside each agent duplicates conventions and inflates every agent's base context with diagram instructions that are only occasionally used. We need a single, format-agnostic capability that any agent (or a bare chat session) can invoke on demand, where the caller chooses ASCII or Mermaid output and neither is forced as a default.

The framing for this decision came directly from the requesting session:

"Let's make a quick ADR for the new Arch Diagram skills based on this work."
Drivers are token optimization plus cross-agent reuse; constraints are clean multi-agent integration plus format-agnosticism.
"look at the other ADRs and mirror them."

Decision Drivers

  • Token optimization
  • Reuse across agents
  • Clean multi-agent integration
  • Format-agnosticism

Considered Options

  • Reusable shared skill (chosen): one architecture-diagrams skill loaded on demand and invoked by any agent or chat context.
  • Dedicated diagram agent: a standalone agent that owns diagram generation as a conversational workflow.
  • Inline per-agent diagram logic: each agent embeds its own diagram instructions and conventions.

Decision Outcome

We adopt a reusable architecture-diagrams skill at .github/skills/hve-core/architecture-diagrams/SKILL.md as the shared capability for IaC-derived diagrams.

Decision driverReusable shared skillDedicated diagram agentInline per-agent logic
Token optimizationYesPartialNo
Reuse across agentsYesPartialNo
Clean multi-agent integrationYesPartialPartial
Format-agnosticismYesYesPartial

Chosen option: "Reusable shared skill", because it is the only option that keeps base-context token cost low while making a single diagram capability reusable across every consuming agent and a bare chat session.

Y-Statement

In the context of generating architecture and network diagrams from infrastructure-as-code across multiple HVE-Core agents, facing duplicated diagram logic and base-context token bloat, we decided for a reusable architecture-diagrams skill invokable from any agent or chat context and against a dedicated diagram agent or inline per-agent logic, to achieve token-efficient on-demand loading, cross-agent reuse, and caller-chosen ASCII/Mermaid output, accepting that skills cannot drive multi-step interactive flows and that a shared skill is a single point of change rippling to all consumers.

Consequences

  • Good, because base-context token cost stays low: diagram instructions load only when a diagram is actually needed.
  • Good, because the skill is a single source of truth for diagram conventions, reused across agents.
  • Good, because any agent or a bare chat session can invoke the capability without duplicating logic.
  • Good, because output format is caller-chosen, keeping the skill flexible across ASCII and Mermaid targets.
  • Neutral, because consuming agents must know the skill exists and explicitly invoke it; it is not implicitly applied.
  • Bad, because skills cannot orchestrate the multi-step interactive diagram refinement a dedicated agent could.
  • Bad, because a shared skill is a single point of change whose edits ripple to all consuming agents.

Diagram (ASCII)

text
+-----------------------------+
| Consuming agents |
+-----------------------------+
| adr-creation |
| brd-builder |
| prd-builder |
| network-isa95-planner |
| system-architecture-reviewer|
+-----------------------------+
|
| read_file + invoke (ASCII or Mermaid, caller-chosen)
v
+-----------------------------+
| architecture-diagrams skill |
| (.github/skills/hve-core/) |
+-----------------------------+
|
| Discovery -> Parsing -> Relationship mapping -> Generation
v
+-----------------------------+
| ASCII block diagram OR |
| Mermaid flowchart |
+-----------------------------+

Risks and Mitigations

  • Risk: a shared skill is a single point of change whose edits ripple to all consuming agents. Mitigation: keep the skill's authoring contract stable and version-controlled, and review changes against all known consumers before merging.
  • Risk: skills cannot drive multi-step interactive refinement, so complex diagrams may require manual iteration by the caller. Mitigation: scope the skill to deterministic single-pass generation and let the calling agent own any conversational refinement loop.
  • Risk: consuming agents must explicitly invoke the skill, so adoption can

drift if new agents reimplement diagram logic inline. Mitigation: document the skill as the canonical path in agent authoring guidance and reference it from the consuming agents.

Rollback / Exit Strategy

If this decision is reversed, the rollback path is:

  1. Remove invocations of the architecture-diagrams skill from the consuming agents.
  2. Reintroduce diagram logic inline in the agents that still require it, or replace the skill with a dedicated diagram agent.
  3. Remove the skill at .github/skills/hve-core/architecture-diagrams/SKILL.md once no consumer references it.
  4. Document the reversal in a superseding ADR that links back to this one and sets superseded-by here.

No data migration is required; removing the skill leaves existing content untouched.

Affected Components

  • .github/skills/hve-core/architecture-diagrams/SKILL.md
  • .github/agents/project-planning/adr-creation.agent.md
  • .github/agents/project-planning/brd-builder.agent.md
  • .github/agents/project-planning/prd-builder.agent.md
  • .github/agents/project-planning/network-isa95-planner.agent.md
  • .github/agents/project-planning/system-architecture-reviewer.agent.md

More Information

The skill consumes infrastructure source files and produces either an ASCII block diagram or a Mermaid flowchart at the caller's choice. The capability lives at .github/skills/hve-core/architecture-diagrams/SKILL.md. Current consumers are .github/agents/project-planning/adr-creation.agent.md, .github/agents/project-planning/brd-builder.agent.md, .github/agents/project-planning/prd-builder.agent.md, .github/agents/project-planning/network-isa95-planner.agent.md, and .github/agents/project-planning/system-architecture-reviewer.agent.md, each of which reads the skill on demand and requests its preferred output format. This is an informational, forward-looking adoption: it establishes the shared skill as the canonical path for IaC-derived diagrams without requiring migration of existing content.

🤖 Crafted with precision by ✨Copilot following brilliant human instruction, then carefully refined by our team of discerning human reviewers.

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