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architecture-deepening-review

Use when reviewing a codebase for architectural friction, shallow modules, poor test seams, scattered behavior, duplicated orchestration, or opportunities to deepen modules before implementing a ticket or workflow.

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  • SKILL.md1.3 KB
  • references/report-template.md296 B

SKILL.md (original)

Review the instructions the agent will receive before you install.

Architecture Deepening Review

Use this to find high-leverage refactors before a Decisions ticket or workflow implementation.

Workflow

  1. Read project domain language first. Use domain-modeling if terms are unresolved.
  2. Use codebase-design vocabulary: module, interface, seam, adapter, depth, leverage, locality.
  3. Explore where understanding one behavior requires bouncing across many files or where tests cannot reach real behavior through a public interface.
  4. Produce a short report with candidates, files involved, current friction, proposed deeper module, test improvement, and recommendation strength.
  5. Ask the user or workflow owner to choose a candidate before designing the new interface.

Report Rules

  • Do not propose implementation during the first review.
  • Do not fight existing ADRs unless the friction is concrete.
  • Keep AgentManager patterns to assessment notes unless they preserve DecisionsAI one-agent-per-board orchestration.
  • Prefer a local HTML or Markdown artifact outside runtime-critical paths.

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tensology/decisionsai17Updated Oct 24, 2026

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tensology/decisionsai17Updated Oct 24, 2026

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tensology/decisionsai17Updated Oct 24, 2026

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The English summary is being prepared. Showing the original description.

tensology/decisionsai17Updated Oct 24, 2026

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