improve-codebase-architecture
Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules.
Skill by Mist-wu
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's inside
- Skill name
improve-codebase-architecture- Description
- Explore a codebase to find opportunities for architectural improvement, focusing on making the codebase more testable by deepening shallow modules. Use when user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more AI-navigable.
- License
- MIT
- Instructions
- 73 lines in SKILL.md · view on GitHub
Files (2)
- REFERENCE.md
- SKILL.md
SKILL.md (first lines)
# Improve Codebase Architecture Explore a codebase like an AI would, surface architectural friction, discover opportunities for improving testability, and propose module-deepening refactors as GitHub issue RFCs. A **deep module** (John Ousterhout, "A Philosophy of Software Design") has a small interface hiding a large implementation. Deep modules are more testable, more AI-navigable, and let you test at the boundary instead of inside. ## Process ### 1. Explore the codebase Use the Agent tool with subagent_type=Explore to navigate the codebase naturally. Do NOT follow rigid heuristics — explore organically and note where you experience friction: - Where does understanding one concept require bouncing between many small files? - Where are modules so shallow that the interface is nearly as complex as the implementation? - Where have pure functions been extracted just for testability, but the real bugs hide in how they're called? - Where do tightly-coupled modules create integration risk in the seams between them? - Which parts of the codebase are untested, or hard to test? The friction you encounter IS the signal. ### 2. Present candidates Present a numbered list of deepening opportunities. For each candidate, show: - **Cluster**: Which modules/concepts are involved - **Why they're coupled**: Shared types, call patterns, co-ownership of a concept - **Dependency category**: See [REFERENCE.md](REFERENCE.md) for the four categories - **Test impact**: What existing tests would be replaced by boundary tests Do NOT propose interfaces yet. Ask the user: "Which of these would you like to explore?" ### 3. User picks a candidate ### 4. Frame the problem space Before spawning sub-agents, write a user-facing explanation of the problem space for the chosen candidate: - The constraints any new interface would need to satisfy - The dependencies it would need to rely on - A rough illustrative code sketch to make the constraints concrete — this is not a proposal, just a way to ground the constraints Show this to the user, then immediately proceed to Step 5. The user reads and thinks about the problem while the sub-agents work in parallel. ### 5. Design multiple interfaces Spawn 3+ sub-agents in parallel using the Agent tool. Each must produce a **radically different** interface for the deepened module. Prompt each sub-agent with a separate technical brief (file paths, coupling details, dependency category, what's being hidden). This brief is independent of the user-facing explanation in Step 4. Give each agent a different design constraint: - Agent 1: "Minimize the interface — aim for 1-3 entry points max" - Agent 2: "Maximize flexibility — support many use cases and extension" - Agent 3: "Optimize for the most common caller — make the default case trivial" - Agent 4 (if applicable): "Design around the ports & adapters pattern for cross-boundary dependencies" Each sub-agent outputs: 1. Interface signature (types, methods, params) 2. Usage example showing how callers use it 3. What complexity it hides internally 4. Dependency strategy (how deps are handled — see [REFERENCE.md](REFERENCE.md)) 5. Trade-offs Present designs sequentially, then compare them in prose. After comparing, give your own recommendation: which design you think is strongest and why. If elements from different designs would combine well, propose a hybrid. Be opinionated — the user wants a strong read, not just a menu. ### 6. User picks an interface (or accepts recommendation) ### 7. Create GitHub issue Create a refactor RFC as a GitHub issue using `gh issue create`. Use the template in [REFERENCE.md](REFERENCE.md). Do NOT ask the user to review before creating — just create it and share the URL.
From Mist-wu/skills, MIT.
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Signals
- Stars
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- Open issues
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- Last commit (this folder)
- Apr 8, 2026 (6 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Mist-wu/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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Cite this page
improve-codebase-architecture skill. Agent Mart. https://agentmart.dev/skills/mist-wu-improve-codebase-architecture (last updated 2026-10-24)