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NashEQifyNashEQify/forge/.claude/skills/improve-codebase-architecture/SKILL.md

improve-codebase-architecture

Skill2 starsChanged 3 days agoMITView on GitHub

Codebase-wide architecture improvement via the deep-modules pattern (Ousterhout / Feathers) — find tightly-coupled modules worth consolidating and deepening. Use when looking for refactor opportunities or to make the codebase more testable + AI-navigable; run periodically (every few days), not diff-centric.

We split this skill into the rules it gives an agent

2 rules. 0 are common, 0 are distinctive, and 2 are very specific to this project.

  • 0

    Common

    Most of the 184 edited versions we read keep these.

  • 0

    Distinctive

    This author's own choices. Worth a look.

  • 2

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Read and follow framework/work-principle.md before taking up work.

    line 10
  2. Very specific:

    Read the SoT and follow it.

    line 19

“Common” is measured: kept by at least 6 in 10 of the 184 edited versions of this file we could read. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Skill: improve-codebase-architecture (Wrapper)

<!-- generated-by: scripts/generate_skill_wrappers.py (do not hand-edit) -->

Read and follow framework/work-principle.md before taking up work. Resolve it against the same framework root as the SoT; retain the consumer CWD.

This is the Claude-Code-discoverable wrapper. The full orchestrator-neutral protocol — methodology, contract, modes, red flags — lives in the SoT:

SoT: skills/improve_codebase_architecture/SKILL.md

Read the SoT and follow it. This wrapper is a generated derived artifact (scripts/generate_skill_wrappers.py); it exists only so Claude Code can inject the skill into the available-skills system-reminder for proactive discovery. Do not hand-edit — edits are reverted on the next generator run and flagged by consistency_check.

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