boggle

What This Skill Does

The Boggle Solver skill is a high-performance, deterministic word-game utility designed for OpenClaw. Unlike generative models that might 'hallucinate' words or rely on probabilistic guessing, this tool utilizes a robust trie-based depth-first search (DFS) algorithm. By mapping a 4x4 grid and performing an exhaustive search against a massive, localized dictionary of 1.7 million words (359K English, 1.35M German), it guarantees accurate, verified solutions. The solver respects standard Boggle rules, including the 'Qu' tile handling and 8-neighbor adjacency, ensuring that every word identified is a legitimate entry in the bundled dictionary files.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal:

clawhub install openclaw/skills/skills/christianhaberl/boggle

The installation process includes an initial trie-build phase that takes approximately 11 seconds due to the dictionary volume, but subsequent solving is lightning-fast, typically returning results in under 5 milliseconds. Ensure you have python3 installed on your system to support the script execution.

Use Cases

This skill is ideal for players who want to sharpen their word-game skills, verify board possibilities, or simply settle disputes during competitive games. It is specifically useful when you have a physical Boggle board or a screenshot of a digital word game. Because it handles both English and German dictionaries, it serves multilingual households and users practicing language skills.

Example Prompts

1. "Hey OpenClaw, I just took a photo of this Boggle board. Can you solve it for me and show both English and German words?"
2. "Here is my 4x4 grid: M-A-T-E, R-I-N-G, L-O-T-S, K-E-Y-S. What are all the possible words I can find in this?"
3. "Solve the Boggle board in this image but please ignore any words shorter than 4 letters."

Tips & Limitations

• Confirmation is key: When providing an image, the tool will first parse the grid and ask for verification. Always double-check the grid text to ensure OCR (Optical Character Recognition) accurately captured every letter before running the solver.
• Language Separation: Always treat the English and German results as distinct operations. The skill is designed to run these as separate queries to maintain high precision.
• Qu Support: Remember that 'Qu' tiles are treated as a single unit. If your board has a 'Qu', ensure the input reflects this to avoid search errors.
• Dictionaries: The tool requires local dictionary files. If it is your first time running it, the skill will auto-download the required 1.7M word database; ensure your machine has stable internet access for this initial step.