Agent Skills: Incremental Commits

Break multi-file changes into atomic commits ordered by dependency. Use for refactors, breaking API changes, or features touching 3+ files.

UncategorizedID: EpicenterHQ/epicenter/incremental-commits

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EpicenterHQLicense: AGPL-3.0
4,013273

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.agents/skills/incremental-commits/SKILL.md

Skill Metadata

Name
incremental-commits
Description
Break multi-file changes into atomic commits ordered by dependency. Use for refactors, breaking API changes, or features touching 3+ files.

Incremental Commits

When a feature touches multiple files, implement in waves. Each wave is one logical concern, one commit. This creates a clean git history that tells a story.

The Pattern

Wave 1: Foundation (types, interfaces)
  ↓
Wave 2: Factories/Builders (functions that create instances)
  ↓
Wave 3: Contracts/APIs (public interfaces that use types)
  ↓
Wave 4: Infrastructure (utilities, converters, dependencies)
  ↓
Wave 5: Consumers (apps, UI, integrations)

Not every change needs all waves. A simple bugfix might be one wave. A cross-cutting refactor might need five.

Wave Characteristics

Each wave must be:

| Property | Description | | ------------- | ---------------------------------------------- | | Atomic | One logical concern per wave | | Buildable | Code compiles after this wave (run type-check) | | Focused | Changes relate to ONE layer/concern | | Complete | No half-done work within a wave |

Real Example: Schema Refactor

This feature moved metadata from workspace to tables. Five waves:

Wave 1: Types

feat(schema): add IconDefinition, CoverDefinition, and FieldMetadata types

- Add IconDefinition discriminated union (emoji | external)
- Add CoverDefinition discriminated union (external)
- Add FieldMetadata with optional name/description to all field types
- Update TableDefinition to use icon/cover instead of emoji/order

Files: types.ts only. Foundation for everything else.

Wave 2: Factories

feat(schema): add optional name/description to field factory functions

All factory functions (id, text, richtext, integer, real, boolean, date,
select, tags, json) now accept optional name and description parameters.

Files: factories.ts only. Uses types from Wave 1.

Wave 3: Contracts

feat(schema): remove emoji and description from WorkspaceSchema

Workspace is now just a container with guid, id, name, tables, and kv.
Visual metadata (icon, cover, description) now lives on TableDefinition.

Files: contract.ts only. API change using new types.

Wave 4: Infrastructure

feat(schema): use slugify for human-readable SQL column names

- Add @sindresorhus/slugify dependency
- Add toSqlIdentifier() helper using slugify with '_' separator
- SQLite columns now use field.name (or derived from key) instead of key

Files: to-drizzle.ts, package.json. Utility that uses field metadata.

Wave 5: Consumers

feat(schema): update epicenter app to use TablesWithMetadata

- WorkspaceSchema now accepts TablesSchema | TablesWithMetadata
- Export new types from package index
- Update app to create proper TableDefinition with metadata

Files: App files that consume the new types.

The Workflow

  1. Plan waves before coding

    • List files that need changes
    • Group by layer/concern
    • Order by dependency (foundations first)
  2. Implement one wave

    • Make changes for that wave only
    • Resist temptation to "fix one more thing"
  3. Verify the wave

    • Run type-check: bun run tsc --noEmit
    • Ensure no errors introduced
  4. Commit the wave

    • Use conventional commit format
    • Message describes what this wave accomplishes
    • Body can list specific changes
  5. Repeat for next wave

When to Use Waves

| Scenario | Waves? | Why | | ------------------------ | ------ | -------------------------- | | Single file bugfix | No | One change, one commit | | Add new type + factory | Maybe | Could be 1-2 waves | | Refactor across 5+ files | Yes | Need logical grouping | | Breaking API change | Yes | Types → API → Consumers | | Add dependency + use it | Yes | Infra wave then usage wave |

Anti-Patterns

Giant Commit

refactor: update schema system

- Add new types
- Update factories
- Change contracts
- Add slugify
- Update app

Problem: One monolithic commit. Can't bisect, can't revert partially, no story.

Micro Commits

feat: add IconDefinition type
feat: add CoverDefinition type
feat: add FieldMetadata type
feat: update IdFieldSchema
feat: update TextFieldSchema
...

Problem: Too granular. 20 commits for one logical change. Noise.

Wrong Order

Wave 1: Update app to use new types  ❌
Wave 2: Add the types                 ❌

Problem: Wave 1 won't compile. Bottom-up, not top-down.

Dependency Order Heuristic

When deciding wave order, ask: "What does this file import?"

types.ts         → imports nothing (foundation)
factories.ts     → imports types.ts
contract.ts      → imports types.ts
converters.ts    → imports types.ts, may add deps
app/             → imports everything above

Files that import nothing come first. Files that import everything come last.

Branch Strategy

For multi-wave work:

# Create feature branch
git checkout -b feat/my-feature

# Wave 1
# ... make changes ...
git add <files> && git commit -m "feat(scope): wave 1 description"

# Wave 2
# ... make changes ...
git add <files> && git commit -m "feat(scope): wave 2 description"

# ... continue waves ...

# When done, all waves are individual commits on the branch
# PR shows clean history of how the feature evolved

Quick Reference

Before starting:

  • [ ] List all files that need changes
  • [ ] Group by layer (types, factories, contracts, infra, consumers)
  • [ ] Order by dependency

For each wave:

  • [ ] Change only files in this wave
  • [ ] Run type-check
  • [ ] Commit with descriptive message
  • [ ] Move to next wave

After all waves:

  • [ ] Final type-check
  • [ ] Run tests if applicable
  • [ ] Create PR with clean commit history