improve-codebase-architecture
Explore architectural friction and present module-deepening candidates for user selection before refactoring.
Skill by kewvydev
Install
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.
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What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
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codeload.github.com· found in install command
Files it touches
~/.claude/skills/improve-codebase-architecture
What's inside
- Skill name
improve-codebase-architecture- Description
- Explore architectural friction and present module-deepening candidates for user selection before refactoring.
- License
- MIT
- Instructions
- 27 lines in SKILL.md · view on GitHub
Files (8)
- LICENSE
- SKILL.md
- openai.yaml · agents/
- HTML-REPORT.md · references/
- DEEPENING.md · references/design/
- DESIGN-IT-TWICE.md · references/design/
- vocabulary.md · references/design/
- upstream.md · references/
SKILL.md (first lines)
# Improve Codebase Architecture Scope the review to the user's area or recent change history. Read existing domain terms, ADRs and local findings. Use the [design vocabulary](references/design/vocabulary.md) and apply the deletion test: would removing a wrapper eliminate complexity or merely move it? Look for shallow modules, scattered knowledge, coupled interfaces, and behavior that is hard to test through its public interface. Explore directly. Delegate exploration only when authorized and useful; no agent is required by this skill. Present concrete candidates with files, observed friction, proposed change, benefits, costs, before/after relationships and recommendation strength. Flag conflicts with existing decisions instead of silently reopening them. For several candidates, create a temporary HTML report if it helps comparison. Use the adapted [static scaffold](references/HTML-REPORT.md), with inline CSS/SVG and no scripts or external assets. HTML-escape repository-derived labels and excerpts as text; do not copy executable blocks from the upstream reference. Use the client's file preview rather than assuming platform-specific shell openers are available. Ask which candidate to explore. Use `$grill-me` for the selected design when useful; retain existing approvals and do not start a refactor or create a remote issue just because a candidate was reported. Record confirmed terms and lasting decisions in the existing project registers; preserve pending work in `.ai-stack/tasks.md`. The [original process](references/upstream.md) is reference material; its extra skill calls and parallel-agent patterns are not automatic dependencies.
From kewvydev/kewvy-ai-stack, MIT.
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Signals
- Stars
- 2
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 19, 2026 (9 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/kewvydev/kewvy-ai-stack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Review and improve React or Next.js rendering, data fetching, and bundle performance when relevant to the requested change.
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Diagnose a difficult reproducible failure or performance regression with a focused feedback loop and evidence.
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Cite this page
improve-codebase-architecture skill. Agent Mart. https://agentmart.dev/skills/kewvydev-improve-codebase-architecture (last updated 2026-10-24)