Skip to content
Agentmart
Submit a tool

deepen

Optional design-improvement pass for when you have spare usage to drain.

Skill by JuliusBrussee

IndexedMIT★ 1,157
Write a review

Chalk Labs

Need help deploying deepen?

Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.

Book a call

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.

npx agentmarket install skill/juliusbrussee-deepen

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.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Optional design-improvement pass for when you have spare usage to drain. Finds the shallowest modules in the code the spec touches, researches a deeper design, and proposes refactors that shrink interfaces and hide decisions — behavior held constant, tests green before and after. Proposes §I/§V/§T edits, never silent rewrites. Triggers when the user says "deepen this", "improve the design", "this module feels shallow", "pull complexity down", "use spare budget on the codebase", or invokes /ck:deepen. Leans on the codebase-design skill's deep-module vocabulary when present.

Use cases: design, finance

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

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
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/deepen

What's inside

Skill name
deepen
Description
Optional design-improvement pass for when you have spare usage to drain. Finds the shallowest modules in the code the spec touches, researches a deeper design, and proposes refactors that shrink interfaces and hide decisions — behavior held constant, tests green before and after. Proposes §I/§V/§T edits, never silent rewrites. Triggers when the user says "deepen this", "improve the design", "this module feels shallow", "pull complexity down", "use spare budget on the codebase", or invokes /ck:deepen. Leans on the codebase-design skill's deep-module vocabulary when present.
License
MIT
Instructions
73 lines in SKILL.md · view on GitHub

Files (1)

  • SKILL.md

SKILL.md (first lines)

# deepen — make modules deep

**Behavior is sacred: tests green before AND after. Every change shrinks an interface or hides a decision — deepen, don't churn.**

A **deep module** hides a lot behind a small interface; a **shallow** one's
interface costs as much to use as writing the code yourself. Complexity =
dependencies + obscurity, and it compounds. Deepen spends spare usage paying
that down *before* it becomes a §B. Run it when the build is green & you have
budget to drain — not under deadline.

## WHEN TO DEEPEN

- Build is green, tests pass, & you have token budget spare.
- A module's interface feels as complex as its implementation (shallow smell).
- The same change keeps touching many files (change amplification).
- User explicitly asks to improve design quality.

⊥ run mid-feature or under pressure. Deepen is the deliberate pass, not the reflex.

## FIVE STEPS

### 1. PICK THE SHALLOW
Scan the modules the spec touches. Rank by shallowness — interface surface vs
work done. Pick the **one** worst offender. Tells:
- Pass-through method that only forwards to one other (shallow layer).
- Caller must set 5 flags right to use it (config leakage).
- Same abstraction repeated at two layers (no information hiding).
- A `?` or §B that traces back to a confusing interface.

One module per pass. Deepening is surgical, ⊥ a codebase sweep.

### 2. DIAGNOSE
Name the design defect in caveman, citing file:line:
> src/auth/token.go: 6-arg ctor leaks rotation policy to every caller. shallow.
Complexity is real only if it shows: change amplification, high cognitive load,
or an unknown-unknown (caller must know a hidden fact to call it right).

### 3. RESEARCH THE DEEPENING
What does a deeper version look like? Pull a known pattern (hand to **research**
for the external case → §R) or derive from the codebase's own better modules.
Moves that deepen:
- **Pull complexity down** — hide the hard part inside, give callers the simple path.
- **Define errors out of existence** — design the interface so the edge can't occur.
- **Information hiding** — one decision, one module; callers don't learn it.
- **General-purpose interface** over a pile of special-case methods.

### 4. PROPOSE
Draft the change as spec edits, not a silent rewrite:
- New/simpler §I shape for the module.
- §V that locks the deepened invariant so a future build can't re-shallow it.
- §T refactor row(s), each citing the §V/§I it serves.
Hand to **spec** to write. Show the before/after interface so the user sees the shrink.

### 5. VERIFY BEHAVIOR HELD
Refactor ≠ rewrite. Full suite green before you start AND after. A deepening that
changes behavior is a feature in disguise — stop, route through `/spec` + `/build`.
New interface gets a test proving the old callers still work.

## WHEN TO STOP

Done when the chosen module's interface is strictly smaller, its hidden decision
no longer leaks, tests are green, and §I/§V record the new shape. One module
deepened beats five churned. Budget left → pick the next shallowest, fresh pass.

## BOUNDARIES

- ⊥ change behavior. Green before, green after. Pure structure.
- ⊥ write SPEC.md. Propose §I/§V/§T; spec writes.
- ⊥ deepen more than one module per pass.
- ⊥ run under deadline or mid-feature. This is the spare-budget pass.
- ⊥ add abstraction for single-use code. A deep module earns its hiding; a speculative one is just more surface.

From JuliusBrussee/cavekit, MIT.

Signals

Stars
1,157
Forks
89
Open issues
12
Last commit (this folder)
Jun 18, 2026 (4 months ago)
Last release
Apr 18, 2026 (6 months ago)

From GitHub (fetched Oct 24, 2026).

Details

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

More from JuliusBrussee

Done for you

Rather not set it up yourself?

Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.

See how we build AI agents →Read the case studies

Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.

launches shipped
50+
launches shipped
media placements
500+
media placements
founders on every account
2
founders on every account

Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block

Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.

Get deepen running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying deepen?

CallGet help
Cite this page

deepen skill. Agent Mart. https://agentmart.dev/skills/juliusbrussee-deepen (last updated 2026-10-24)