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by shingo imotasimota/agent-skills85 stars
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Designing and auditing repository structure for humans and LLM agents: layouts, monorepos, docs/tests/scripts, progressive disclosure, prompt-cache topology, and safe migrations.

Use this Skill: https://skilld.dev/gh/simota/agent-skills/grove

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referenceproject-scaffolding-anti-patterns.md

≈1.5k tokens on demand. Your agent reads this file only when SKILL.md points to it.

Project Scaffolding Anti-Patterns

Purpose: Use this reference when auditing initial repository setup, template design, config hygiene, and staged structure growth.

Contents

  • Scaffolding anti-pattern catalog
  • Progressive scaffolding strategy
  • Config hygiene rules
  • Template-repository design
  • AI-era scaffolding rules
  • Startup checklist
  • Grove integration

Initial repository setup failures, template traps, and config-management risks.

1. Project Scaffolding Anti-Patterns

ID Anti-Pattern What Goes Wrong Typical Signals Recommended Response
PS-01 Template Cargo Cult A team copies a FAANG-scale repository layout wholesale. Many unused directories exist and nobody understands the tooling. Start from the smallest structure that fits the team and domain.
PS-02 Skeleton Overload The project starts with too much empty structure. Empty features/, adr/, or auth/ trees exist before any code. Add directories only when the project actually needs them.
PS-03 Config Proliferation Config files multiply early and drift apart. 15+ config files live at the root; overlapping configs coexist. Consolidate with flat config, inheritance, or a dedicated config/ directory.
PS-04 Framework Lock-in Structure The layout overfits one framework. A framework swap forces a full directory redesign. Prefer domain-centered structure with framework adapters at the edges.
PS-05 AI-Generated Chaos AI tools invent structure ad hoc. Generated files land in inconsistent places and patterns drift. Establish scaffolding before AI-assisted generation and document placement rules.
PS-06 Monorepo Premature A single app starts in monorepo form without real need. apps/web/ and packages/ exist but hold only one application. Start as a single repository and split only when real package boundaries emerge.
PS-07 Convention Blindness The layout ignores language or framework defaults. Go uses src/; Next.js uses a custom router layout; Django skips app conventions. Detect the platform first and apply the official structural baseline.

2. Progressive Scaffolding Strategy

Phase Typical size Structure rule
Phase 0 Prototype src/, README.md, .gitignore, language config only
Phase 1 Up to 20 files Add tests/, docs/, scripts/, .github/ only when first needed
Phase 2 20-100 files Start feature grouping, extract shared code, split tests by scope
Phase 3 100+ files Evaluate FSD, DDD, stricter module boundaries, or package splits

Core rules:

  • do not create empty directories speculatively
  • let structure evolve with code volume
  • prefer staged refactors over upfront full design

3. Config Hygiene Rules

Root-required config:

  • package.json / pyproject.toml / go.mod
  • tsconfig.json
  • turbo.json / nx.json if monorepo
  • .gitignore

Root-recommended config:

  • eslint.config.js
  • prettier.config.js
  • vitest.config.ts or jest.config.ts

Usually movable to config/:

  • webpack.config.js
  • postcss.config.js
  • docker-compose.yml

Consolidation guidance:

  • move to ESLint flat config
  • use extends for TypeScript config families
  • keep one test runner
  • keep one formatter
  • keep one bundler unless there is a proven need

Thresholds:

  • <=10 config files at root: healthy
  • 10-15: review for consolidation
  • 15+: treat as AP-003

4. Template Repository Design

Required template elements:

  • README.md
  • .gitignore
  • language configuration
  • CI workflow
  • .editorconfig

Optional elements:

  • docs/ skeleton for larger projects
  • tests/ starter structure
  • .agents/
  • CLAUDE.md or cursor rules when the team uses AI tooling

Do not include:

  • tool configs the project will not use
  • many empty feature directories
  • project-specific business logic
  • hard-coded project names or URLs
  • outdated dependencies

Refresh templates quarterly or when core tooling conventions change.

5. AI-Era Scaffolding Rules

To help AI understand structure:

  • document directory conventions
  • document naming rules
  • expose public APIs clearly
  • add directory-level READMEs only when they carry real decision value

To control AI generation:

  • finish scaffolding before broad AI-assisted generation
  • specify expected destination directories explicitly
  • verify structural consistency after generation

Do not accept AI-suggested structure uncritically. Team size, domain shape, and project maturity still decide the right structure.

6. Startup Checklist

At project start:

  • detect language and framework
  • confirm the standard layout for that stack
  • start with Phase 0
  • add README.md, .gitignore, and language config
  • add a basic CI workflow
  • add .editorconfig

Add later as needed:

  • tests/ at first test
  • docs/ at first spec
  • scripts/ at first automation script
  • features/ at 20+ files
  • shared/ when duplication appears
  • stronger module boundaries at 100+ files

Avoid:

  • designing the full structure on day one
  • copying another project’s tree wholesale
  • creating many empty folders
  • adding tools with no immediate use

7. Grove Integration

Use this reference in Grove as follows:

  1. Screen PS-01 through PS-07.
  2. Apply staged scaffolding for new repositories.
  3. Run config-hygiene checks for existing repositories.
  4. Audit template repositories periodically.

Quality gates:

  • copied enterprise template: require scale-fit review
  • many empty directories: propose the minimum viable structure
  • 15+ root configs: propose consolidation
  • convention violations: propose the standard template
  • one-app monorepo shell: recommend a single-repo baseline

Source: Iterators: Project Codebase Organization · GitHub Well-Architected: Anti-Patterns · FnJoin: Code Your Own Scaffolding First

Source: SKILL.md on GitHub

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    The skill 'grove' is a comprehensive set of guidelines and templates for repository structure design, auditing, and migration. It provides reference material for detecting anti-patterns and planning structural changes using standard development tools like Nx, Turborepo, and Bazel. No security issues or malicious patterns were detected.

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