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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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About
Use cases: design
Reviews
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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
- None asked for
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Network hosts it talks to 1
codeload.github.com· found in install command
Files it touches
~/.claude/skills/designing-deep-modules
What's inside
- Skill name
designing-deep-modules- Description
- Shared vocabulary for designing deep modules. Use when the user wants to design or improve a module's interface, find deepening opportunities, decide where a seam goes, make code more testable or AI-navigable, or when another skill needs the deep-module vocabulary.
- License
- MIT
- Instructions
- 35 lines in SKILL.md · view on GitHub
Files (3)
- DEEPENING.md
- DESIGN-IT-TWICE.md
- SKILL.md
SKILL.md (first lines)
Design **deep modules**: a lot of behaviour behind a small interface, placed at a clean seam, testable through that interface. Use this language and these principles wherever code is being designed or restructured. The aim is leverage for callers, locality for maintainers, and testability for everyone. ## Glossary Use these terms exactly: don't substitute "component," "service," "API," or "boundary." Consistent language is the whole point. **Module**: anything with an interface and an implementation. Deliberately scale-agnostic: a function, class, package, or tier-spanning slice. _Avoid_: unit, component, service. **Interface**: everything a caller must know to use the module correctly: the type signature, but also invariants, ordering constraints, error modes, required configuration, and performance characteristics. A module has exactly one. _Avoid_: API, signature, the TypeScript `interface` keyword (too narrow, they refer only to the type-level surface). **Implementation**: what's inside a module, its body of code. Distinct from **Adapter**: a thing can be a small adapter with a large implementation (a Postgres repo) or a large adapter with a small implementation (an in-memory fake). Reach for "adapter" when the seam is the topic; "implementation" otherwise. **Depth**: leverage at the interface. The amount of behaviour a caller (or test) can exercise per unit of interface they have to learn. A module is **deep** when a large amount of behaviour sits behind a small interface, **shallow** when the interface is nearly as complex as the implementation. Not Ousterhout's ratio of implementation lines to interface lines: that rewards padding the implementation. **Seam** _(Michael Feathers)_: a place where you can alter behaviour without editing in that place; the *location* at which a module's interface lives. Where to put the seam is its own design decision, distinct from what goes behind it. _Avoid_: boundary (overloaded with DDD's bounded context). **Adapter**: a concrete thing that satisfies an interface at a seam. Describes *role* (what slot it fills), not substance (what's inside). **Leverage**: what callers get from depth. More capability per unit of interface they learn. One implementation pays back across N call sites and M tests. **Locality**: what maintainers get from depth. Change, bugs, knowledge, and verification concentrate in one place rather than spreading across callers. Fix once, fixed everywhere. ## Principles - **Depth is a property of the interface, not the implementation.** A deep module can be internally composed of small, mockable, swappable parts; they just aren't part of the interface. A module can have **internal seams** (private to its implementation, used by its own tests) as well as the **external seam** at its interface. Don't expose internal seams through the interface just because tests use them. - **The deletion test.** Imagine deleting the module. If complexity vanishes, it was a pass-through. If complexity reappears across N callers, it was earning its keep. - **The interface is the test surface.** Callers and tests cross the same seam. If you want to test *past* the interface, the module is probably the wrong shape. - **One adapter means a hypothetical seam. Two adapters means a real one.** Don't introduce a seam unless something actually varies across it, typically production and test. ## Going deeper - **Deepening a cluster given its dependencies**, see [DEEPENING.md](DEEPENING.md): dependency categories and replace-don't-layer testing. - **Exploring alternative interfaces**, see [DESIGN-IT-TWICE.md](DESIGN-IT-TWICE.md): spin up parallel sub-agents to design the interface several radically different ways, then compare on depth, locality, and seam placement.
From nash403/skills, MIT.
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Scope requested work to fit one agent session, build what fits, finish the mechanical leftovers with sub-agents, and hand off the rest.
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iterate-feature
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Build a feature iteration by iteration: each one ships one capability I can test, takes shortcuts it tracks, and narrows toward production quality, with an…
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maintaining-docs
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Edit AI agent files (skills, rules, AGENTS.md/CLAUDE.md) or project documentation (READMEs, ARCHITECTURE, CODING_STYLE, CONTRIBUTING, monorepo/package docs)…
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mapping-codebase
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Create or update a project's code map: what each area of the repo is for and where to change what, so agents navigate without re-exploring.
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Bruce, a sparring partner who challenges my proposals instead of validating them, then argues his own: for an architecture or implementation doubt, a decision…
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improve-architecture
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Scan a codebase for deepening opportunities, present them as a visual HTML report, then grill through whichever one you pick.
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mapping-doc-ownership
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Keep a project's docs map: which doc owns which topic, so every piece of documentation has one home and the others link to it.
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implementation-loop
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Workflow for implementing a ticket, a spec or a feature: mindset, branch, test-first at agreed seams, checks, review, commit only on request.
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bump-dependencies
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Bump a project's dependencies group by group, from the least risky to the riskiest, verifying each group before the next.
SkillAFreshness: AClaude Code +9 - 0.559score
noobify
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Reformulate what I'm working on for a non-technical reader.
SkillAFreshness: AClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Oct 21, 2026 (9 days ago)
- Last release
- Oct 22, 2026 (8 days ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/nash403/skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
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- 0.565score
iterate-feature
nash403
Build a feature iteration by iteration: each one ships one capability I can test, takes shortcuts it tracks, and narrows toward production quality, with an…
SkillAFreshness: AClaude Code +9 - 0.565score
maintaining-docs
nash403
Edit AI agent files (skills, rules, AGENTS.md/CLAUDE.md) or project documentation (READMEs, ARCHITECTURE, CODING_STYLE, CONTRIBUTING, monorepo/package docs)…
SkillAFreshness: AClaude Code +9 - 0.565score
addressing-feedback
nash403
Triage feedback threads on my work and draft replies: PR/MR review, comments on a doc, an essay or any artifact, read from a platform or pasted.
SkillAFreshness: AClaude Code +9 - 0.565score
cleanup-comments
nash403
Review the comments in changed code and propose removing the noise: commented-out code, narrating comments, changelog stamps, debug leftovers, docs that…
SkillAFreshness: AClaude Code +9 - 0.565score
implement-scoped
nash403
Scope requested work to fit one agent session, build what fits, finish the mechanical leftovers with sub-agents, and hand off the rest.
SkillAFreshness: AClaude Code +9 - 0.565score
mapping-codebase
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Create or update a project's code map: what each area of the repo is for and where to change what, so agents navigate without re-exploring.
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Cite this page
designing-deep-modules skill. Agent Mart. https://agentmart.dev/skills/nash403-designing-deep-modules (last updated 2026-10-24)