Agent skill

Deepen Architecture

by danielvm-git in danielvm-git/bigpowers

Find deepening opportunities in a codebase, informed by the domain language in specs/tech-architecture/tech-stack.md and the decisions in specs/adr/.

MITAuto-check passedDevelopment

Install Deepen Architecture

skills CLI
$ npx skills add danielvm-git/bigpowers --skill deepen-architecture -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install danielvm-git/bigpowers deepen-architecture --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/danielvm-git/bigpowers.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/deepen-architecture .claude/skills/deepen-architecture && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
deepen-architecture
GitHub stars
257
Token cost
~1.7k tokens
SKILL.md length
796 words
Files
4
Skills in repo
39
Repo updated
First seen
Licence
MIT

At a glance

Find deepening opportunities in a codebase, informed by the domain language in specs/tech-architecture/tech-stack.md and the decisions in specs/adr/.

  • Works in 5 steps: Explore → Module Depth score → Present candidates → …
  • The user wants to improve architecture
  • SKILL.md covers Glossary, Process and Verify
  • Calls bash

What it does

Deepen Architecture is an agent skill from danielvm-git/bigpowers. Find deepening opportunities in a codebase, informed by the domain language in specs/tech-architecture/tech-stack.md and the decisions in specs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.

Its SKILL.md is about 1.7k tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files (for example `DEEPENING.md`, `INTERFACE-DESIGN.md` and `LANGUAGE.md`).

It sits in Development, covering Refactoring and Architecture decision records. The repository describes itself as: Agent skills synthesizing years of software engineering discipline into a prescriptive methodology for solo developers. The licence is MIT.

When your agent uses it

  • The user wants to improve architecture
  • Find refactoring opportunities
  • Consolidate tightly-coupled modules
  • Make a codebase more testable and AI-navigable

Example prompts

  • “/deepen-architecture”

Workflow steps

5 steps, taken from the step headings in SKILL.md.

  1. Explore
  2. Module Depth score
  3. Present candidates
  4. Grilling loop
  5. Import-boundary hygiene (e45s14)

What it can do on your machine

Read from SKILL.md and the folder at commit 812d57a. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Shell commands in SKILL.md call:

    • bash

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Deepen Architecture loads about 1.7k tokens when it runs. Until then it costs about 85 tokens; SKILL.md has 796 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~85
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from danielvm-git/bigpowers at commit 812d57a, republished under its MIT licence (© danielvm-git). 796 words, ~1,724 tokens.

Download SKILL.mdSave it as .claude/skills/deepen-architecture/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.
name
deepen-architecture
description
Find deepening opportunities in a codebase, informed by the domain language in specs/tech-architecture/tech-stack.md and the decisions in specs/adr/. Use when the user wants to improve architecture, find refactoring opportunities, consolidate tightly-coupled modules, or make a codebase more testable and AI-navigable.
model
sonnet
effort
standard

Deepen Architecture

Surface architectural friction and propose deepening opportunities — refactors that turn shallow modules into deep ones. The aim is testability and AI-navigability.

Distinct from define-language and model-domain: Use this skill to find module-level refactoring opportunities in the codebase. Use define-language to produce a canonical glossary of terms. Use model-domain to stress-test a plan through a domain-model interview.

HARD GATE — Deep modules must solve a forcing function, not just be "nice abstractions." If you cannot articulate why the abstraction exists, it is premature.

Glossary

Use these terms exactly in every suggestion. Consistent language is the point — don't drift into "component," "service," "API," or "boundary." Full definitions in LANGUAGE.md.

  • Module — anything with an interface and an implementation (function, class, package, slice).
  • Interface — everything a caller must know to use the module: types, invariants, error modes, ordering, config. Not just the type signature.
  • Implementation — the code inside.
  • Depth — leverage at the interface: a lot of behaviour behind a small interface. Deep = high leverage. Shallow = interface nearly as complex as the implementation.
  • Seam — where an interface lives; a place behaviour can be altered without editing in place. (Use this, not "boundary.")
  • Adapter — a concrete thing satisfying an interface at a seam.
  • Leverage — what callers get from depth.
  • Locality — what maintainers get from depth: change, bugs, knowledge concentrated in one place.

Key principles (see LANGUAGE.md for the full list):

  • 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.
  • One adapter = hypothetical seam. Two adapters = real seam.

This skill is informed by the project's domain model — specs/tech-architecture/tech-stack.md and any specs/adr/. The domain language gives names to good seams; ADRs record decisions the skill should not re-litigate. See CONTEXT-FORMAT.md and ADR-FORMAT.md.

Process

1. Explore

Read existing documentation first:

  • specs/tech-architecture/tech-stack.md (or specs/tech-architecture/tech-stack.md + each specs/tech-architecture/tech-stack.md in a multi-context repo)
  • Relevant ADRs in specs/adr/

If any of these files don't exist, proceed silently — don't flag their absence or suggest creating them upfront.

Look-here-first (churn heuristic): Before organic exploration, rank candidate modules by recent commit frequency. High-churn files are architectural friction magnets — start there.

bash
bash scripts/bp-churn-rank.sh --since 90.days --limit 20

Then use the Agent tool with subagent_type=Explore to walk the codebase. Don't follow rigid heuristics — explore organically and note where you experience friction:

  • Where does understanding one concept require bouncing between many small modules?
  • Where are modules shallow — interface 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 leak across their seams?
  • Which parts of the codebase are untested, or hard to test through their current interface?

Apply the deletion test to anything you suspect is shallow.

2. Module Depth score

For each candidate module, assign a Module Depth score (1–5, Ousterhout):

ScoreMeaning
1Shallow — interface complexity ≈ implementation
3Balanced
5Deep — small interface, substantial hidden behavior

Include the score in each candidate row. Prioritize score ≤ 2 for deepening.

Show full SKILL.md (304 more words)Show less
3. Present candidates

Present a numbered list of deepening opportunities. For each candidate:

  • Files — which files/modules are involved
  • Problem — why the current architecture is causing friction
  • Solution — plain English description of what would change
  • Benefits — explained in terms of locality and leverage, and how tests would improve

Use specs/tech-architecture/tech-stack.md vocabulary for the domain, and LANGUAGE.md vocabulary for the architecture.

ADR conflicts: if a candidate contradicts an existing ADR, only surface it when the friction is real enough to warrant revisiting the ADR. Mark it clearly. Don't list every theoretical refactor an ADR forbids.

Do NOT propose interfaces yet. Ask the user: "Which of these would you like to explore?"

4. Grilling loop

Once the user picks a candidate, drop into a grilling conversation. Walk the design tree with them — constraints, dependencies, the shape of the deepened module, what sits behind the seam, what tests survive.

Side effects happen inline as decisions crystallize:

  • Naming a deepened module after a concept not in specs/tech-architecture/tech-stack.md? Add the term to specs/tech-architecture/tech-stack.md — same discipline as model-domain (see CONTEXT-FORMAT.md). Create the file lazily if it doesn't exist.
  • Sharpening a fuzzy term during the conversation? Update specs/tech-architecture/tech-stack.md right there.
  • User rejects the candidate with a load-bearing reason? Offer an ADR, framed as: "Want me to record this as an ADR so future architecture reviews don't re-suggest it?" Only offer when the reason would actually be needed by a future explorer. See ADR-FORMAT.md.
  • Want to explore alternative interfaces for the deepened module? See INTERFACE-DESIGN.md.
5. Import-boundary hygiene (e45s14)

When a deepening move splits or merges modules, update specs/import-boundaries.json (Playwright DEPS.list pattern) — declare which scripts/lib/*.sh files may source which peers. CI enforces via:

bash
bash scripts/check-import-boundaries.sh

Run the check before proposing cross-module source edges. Convention docs alone do not authorize new imports; the allowlist must list them.

Verify

→ verify: test -f specs/import-boundaries.json && bash scripts/check-import-boundaries.sh

<!-- story: e07s02 -->

© danielvm-git, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

SKILL.md and 3 other files in skills/deepen-architecture of danielvm-git/bigpowers.

  • SKILL.md
  • DEEPENING.md
  • INTERFACE-DESIGN.md
  • LANGUAGE.md

Open the folder on GitHubat commit 812d57a

Compare with similar skills

Deepen Architecture next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Deepen Architecture compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Deepen Architecture this skilldanielvm-git/bigpowers257—~1.7kAutomated safety check: PassMIT
Improve Codebase Architectureywwynm/EverythingDone14415 repos~1.3kAutomated safety check: PassGPL-3.0
Learning OpportunitiesDrCatHicks/learning-opportunities2.5k—~2.5kAutomated safety check: PassCC-BY-4.0
Task Workflowikarenkov/Modo343—~2.4kAutomated safety check: PassNone
Ad Deepenalexandremendoncaalvaro/CorridorKey-Runtime7551 repos~2kAutomated safety check: PassCustom licence
Vibe CodingOfficeDev/microsoft-365-agents-toolkit781—~5.5kAutomated safety check: PassCustom licence

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Categories

Questions about Deepen Architecture

What does Deepen Architecture do?

Find deepening opportunities in a codebase, informed by the domain language in specs/tech-architecture/tech-stack.md and the decisions in specs/adr/. Deepen Architecture is an agent skill from danielvm-git/bigpowers.md and the decisions in specs/adr/.

When should I use Deepen Architecture?

Deepen Architecture fits situations like: the user wants to improve architecture; find refactoring opportunities; consolidate tightly-coupled modules; make a codebase more testable and AI-navigable.

How do I install Deepen Architecture in Claude Code?

Run `npx skills add danielvm-git/bigpowers --skill deepen-architecture -a claude-code`. Or copy the skill folder (skills/deepen-architecture in danielvm-git/bigpowers) into .claude/skills/deepen-architecture in your project. Claude Code loads it when a task matches its description.

How do I install Deepen Architecture in Codex?

Run `npx skills add danielvm-git/bigpowers --skill deepen-architecture -a codex`. Or copy the skill folder (skills/deepen-architecture in danielvm-git/bigpowers) into .agents/skills/deepen-architecture in your project. Codex loads it when a task matches its description.

Can I use Deepen Architecture in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add danielvm-git/bigpowers --skill deepen-architecture -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/deepen-architecture, .gemini/skills/deepen-architecture, .github/skills/deepen-architecture and .opencode/skills/deepen-architecture in your project.

What does Deepen Architecture need to run?

Going by SKILL.md and its folder, Deepen Architecture needs the command-line tools its instructions call (bash).

Does Deepen Architecture access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Deepen Architecture safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Deepen Architecture use?

Deepen Architecture is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Deepen Architecture use?

About 1.7k tokens (SKILL.md is roughly 6.9k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Deepen Architecture?

Skills that share tags, products or a category with Deepen Architecture: Improve Codebase Architecture (ywwynm/EverythingDone, 144 stars), Learning Opportunities (DrCatHicks/learning-opportunities, 2.5k stars), Task Workflow (ikarenkov/Modo, 343 stars) and Ad Deepen (alexandremendoncaalvaro/CorridorKey-Runtime, 755 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Deepen Architecture?

danielvm-git (a GitHub user) maintains it in danielvm-git/bigpowers, which has 257 GitHub stars. The repository holds 39 skills in this directory. The repository was last updated on September 21, 2026.

Source: danielvm-git/bigpowers on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.