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Awesome-omni-skill boggle

Solve Boggle boards — find all valid words (German + English) on a 4x4 letter grid. Use when the user shares a Boggle photo, asks for words on a grid, or plays word games. Includes 1.7M word dictionaries (DE+EN).

install
source · Clone the upstream repo
git clone https://github.com/diegosouzapw/awesome-omni-skill
Claude Code · Install into ~/.claude/skills/
T=$(mktemp -d) && git clone --depth=1 https://github.com/diegosouzapw/awesome-omni-skill "$T" && mkdir -p ~/.claude/skills && cp -r "$T/skills/data-ai/boggle" ~/.claude/skills/diegosouzapw-awesome-omni-skill-boggle && rm -rf "$T"
manifest: skills/data-ai/boggle/SKILL.md
source content

Boggle Solver

Fast trie-based DFS solver with dictionary-only matching. No AI/LLM guessing — words are validated exclusively against bundled dictionaries (359K English + 1.35M German).

Workflow (from photo)

  1. Read the 4x4 grid from the photo (left-to-right, top-to-bottom)
  2. Show the grid to the user and ask for confirmation before solving
  3. Only after user confirms → run the solver
  4. Always run English and German SEPARATELY — present as two labeled sections (🇬🇧 / 🇩🇪)

Solve a board

# English
python3 skills/boggle/scripts/solve.py ELMU ZBTS ETVO CKNA --lang en

# German
python3 skills/boggle/scripts/solve.py ELMU ZBTS ETVO CKNA --lang de

Each row is one argument (4 letters). Or use 

--letters
:

python3 skills/boggle/scripts/solve.py --letters ELMUZBTSETVOCKNA --lang en

Options

FlagDescription
--lang en/de
Language (default: en; always run EN and DE separately)
--min N
Minimum word length (default: 3)
--json
JSON output with scores
--dict FILE
Custom dictionary (repeatable)

Scoring (standard Boggle)

  • 3-4 letters: 1 pt
  • 5 letters: 2 pts
  • 6 letters: 3 pts
  • 7 letters: 5 pts
  • 8+ letters: 11 pts

How it works

  • Builds a trie from dictionary files (one-time, ~11s)
  • DFS traversal from every cell, pruned by trie prefixes
  • Adjacency: 8 neighbors (horizontal, vertical, diagonal)
  • Each cell used at most once per word
  • Qu tile support: Standard Boggle "Qu" tiles are handled as a single cell (e.g., 
    QUENHARI...
    → "QU" occupies one position)
  • All matching is dictionary-only — no generative/guessed words

Data

  • data/words_english_boggle.txt
    — 359K English words
  • data/words_german_boggle.txt
    — 1.35M German words

Performance

  • Trie build: ~11s (first run, 1.7M words)
  • Solve: <5ms per board