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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…

Skill by tensology

IndexedMIT★ 17
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/tensology-architecture-deepening-review

Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.

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About

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.

Use cases: testing, productivity

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Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
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Install scripts
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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/architecture-deepening-review

What's inside

Skill name
architecture-deepening-review
Description
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.
License
MIT
Instructions
20 lines in SKILL.md · view on GitHub

Files (2)

  • SKILL.md
  • report-template.md · references/

SKILL.md (first lines)

# 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.

From tensology/decisionsai, MIT.

More from tensology/decisionsai

Signals

Stars
17
Forks
2
Open issues
0
Last commit (this folder)
Oct 2, 2026 (28 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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architecture-deepening-review skill. Agent Mart. https://agentmart.dev/skills/tensology-architecture-deepening-review (last updated 2026-10-24)