Find valid dictionary words on 4x4 Boggle grids using trie-based DFS.
npx skills add https://github.com/christianhaberl/boggle-openclaw-skill --skill boggle
Please help me install this Agent Skill. Skill: boggle Source: https://github.com/christianhaberl/boggle-openclaw-skill/tree/main Command: npx skills add https://github.com/christianhaberl/boggle-openclaw-skill --skill boggle
This Skill solves the problem of quickly finding every valid word on a Boggle board without guessing—using dictionary-only matching for both English and German.
Use Case Example: You share a 4x4 Boggle grid (photo or letters), and you want a complete, dictionary-validated word list with correct Boggle scoring for gameplay or verification.
Ask the Skill to solve a 4x4 grid by providing the 16 tiles as four rows or as a single 16-tile string, and specify which dictionary language you want (English or German).
High-intent search queries and answers about installing and using this skill.
To find all valid Boggle words on a 4x4 grid, you provide the 16 tiles as four rows or a single string, and the solver applies a trie-based DFS with 8-neighbor adjacency to return dictionary-validated words in milliseconds.
Yes, the Boggle solver supports both English and German dictionaries separately, outputting validated results in two clearly separated sections for bilingual gameplay verification.
Yes, you can get Boggle word scoring output as structured JSON, which applies standard Boggle scores to the validated word list for seamless downstream integration and gameplay verification.
The Boggle solver handles the Qu tile by treating it as a single board position during the 8-direction adjacency traversal, ensuring accurate dictionary-only matching without splitting the letter pair.
The best way to verify Boggle gameplay from a photo-to-letters workflow is to input the extracted 16-tile grid string, allowing the trie-based DFS to generate a complete, scored word list for exact validation.
A limitation when finding dictionary words is that the solver applies minimum word length filtering and requires exact dictionary-only validation, meaning non-standard tiles or out-of-dictionary entries are pruned.
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