# boggle_solver

> boggle_solver — brocla-boggle-solver. Use this tool when you need to find all possible words in a Boggle puzzle, as it solves the problem of identifying hidden words within a grid of letters by utilizing a Trie data structure and backtracking algorithm, taking a 2D grid of letters as input and outputting a list of valid words. It is particularly useful in word game development, language learning, and puzzle-solving contexts. The tool can be accessed and utilized via git.

Canonical page: https://skillsregistry.net/skills/brocla-boggle-solver  
JSON: https://api.skillsregistry.net/v1/skills/brocla-boggle-solver

## Description

Python Boggle solver. Demonstrates Trie data structures and constraint-satisfaction with backtracking.

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/brocla/boggle_solver)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "brocla-boggle-solver"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/brocla-boggle-solver` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/brocla-boggle-solver/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt
