design_patterns-genre_bitfield

Pack multiple genres into a single byte bitfield for efficient filtering.

2|Updated Jun 26, 2025
One-click install
npx skills add https://github.com/amarbel-llc/dodder --skill design-patterns-genre-bitfield
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: design_patterns-genre_bitfield
Source: https://github.com/amarbel-llc/dodder/tree/main/.claude/skills/design_patterns-genre_bitfield
Command: npx skills add https://github.com/amarbel-llc/dodder --skill design-patterns-genre-bitfield

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Dodder objects require efficient multi-genre filtering and compact storage to enable fast lookups and scalable queries across large datasets. A non-bitfield approach can incur overhead and slow down per-genre dispatch.

Core Features & Use Cases

  • Bitfield-backed genres: pack multiple genres into a single byte to enable efficient storage and lookups.
  • Enum + bitfield model: provide a dedicated Genre enum and a bitfield wrapper (ids.Genre) with conversion utilities.
  • Per-genre query optimization: maintain per-genre sub-queries to accelerate dispatch and filtering.
  • Sigil-to-genre mapping and parsing: map sigils like :z, :t, :e, :r, :b to corresponding genres for intuitive querying.
  • Use cases: simultaneously filter multiple object kinds (Zettel, Tag, Type, Repo) with minimal overhead.

Quick Start

Map objects to the genres.Genre bitfield and begin performing fast, multi-genre queries.

Frequently Asked Questions about design_patterns-genre_bitfield

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I pack multiple genres into a single byte for efficient lookups?

You can pack multiple genres into a single byte bitfield to enable efficient multi-genre classification and fast queries across large datasets. This approach minimizes storage overhead and accelerates per-genre dispatch.

What is the best way to filter multiple object kinds like Zettel, Tag, and Repo simultaneously?

Filtering multiple object kinds simultaneously is best handled by maintaining per-genre sub-queries against a packed genre bitfield. This allows you to apply per-genre filtering with minimal overhead across Zettel, Tag, Type, and Repo objects.

How does sigil-to-genre mapping work for intuitive querying?

Sigil-to-genre mapping works by parsing short sigils like :z, :t, :e, :r, and :b and mapping them to their corresponding genres. This provides an intuitive shorthand for executing multi-genre queries.

Can I use a Genre enum and bitfield wrapper to optimize dispatch?

Yes, you can use a dedicated Genre enum alongside a bitfield wrapper with conversion utilities to optimize dispatch. This model provides the necessary structure to convert genres into bit integers for fast filtering.

Why does multi-genre classification require a bitfield approach?

Multi-genre classification requires a bitfield approach because non-bitfield methods incur overhead and slow down per-genre dispatch. Packing genres into a single byte ensures compact storage and enables scalable queries across large datasets.

Are there limitations to using a single byte bitfield for genre storage?

Using a single byte bitfield for genre storage limits classification to a maximum of eight distinct genres. You should not use this approach if your system requires managing more genres than a single byte can represent.