{ "schemaVersion": "1.0", "item": { "slug": "boggle", "name": "Boggle Solver", "source": "tencent", "type": "skill", "category": "AI 智能", "sourceUrl": "https://clawhub.ai/christianhaberl/boggle", "canonicalUrl": "https://clawhub.ai/christianhaberl/boggle", "targetPlatform": "OpenClaw" }, "install": { "downloadMode": "redirect", "downloadUrl": "/downloads/boggle", "sourceDownloadUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=boggle", "sourcePlatform": "tencent", "targetPlatform": "OpenClaw", "installMethod": "Manual import", "extraction": "Extract archive", "prerequisites": [ "OpenClaw" ], "packageFormat": "ZIP package", "includedAssets": [ "README.md", "SKILL.md", "data/README.md", "data/download.py", "scripts/solve.py" ], "primaryDoc": "SKILL.md", "quickSetup": [ "Download the package from Yavira.", "Extract the archive and review SKILL.md first.", "Import or place the package into your OpenClaw setup." ], "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run." } ] }, "sourceHealth": { "source": "tencent", "status": "healthy", "reason": "direct_download_ok", "recommendedAction": "download", "checkedAt": "2026-04-23T16:43:11.935Z", "expiresAt": "2026-04-30T16:43:11.935Z", "httpStatus": 200, "finalUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentType": "application/zip", "probeMethod": "head", "details": { "probeUrl": "https://wry-manatee-359.convex.site/api/v1/download?slug=4claw-imageboard", "contentDisposition": "attachment; filename=\"4claw-imageboard-1.0.1.zip\"", "redirectLocation": null, "bodySnippet": null }, "scope": "source", "summary": "Source download looks usable.", "detail": "Yavira can redirect you to the upstream package for this source.", "primaryActionLabel": "Download for OpenClaw", "primaryActionHref": "/downloads/boggle" }, "validation": { "installChecklist": [ "Use the Yavira download entry.", "Review SKILL.md after the package is downloaded.", "Confirm the extracted package contains the expected setup assets." ], "postInstallChecks": [ "Confirm the extracted package includes the expected docs or setup files.", "Validate the skill or prompts are available in your target agent workspace.", "Capture any manual follow-up steps the agent could not complete." ] }, "downloadPageUrl": "https://openagent3.xyz/downloads/boggle", "agentPageUrl": "https://openagent3.xyz/skills/boggle/agent", "manifestUrl": "https://openagent3.xyz/skills/boggle/agent.json", "briefUrl": "https://openagent3.xyz/skills/boggle/agent.md" }, "agentAssist": { "summary": "Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.", "steps": [ "Download the package from Yavira.", "Extract it into a folder your agent can access.", "Paste one of the prompts below and point your agent at the extracted folder." ], "prompts": [ { "label": "New install", "body": "I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Then review README.md for any prerequisites, environment setup, or post-install checks. Tell me what you changed and call out any manual steps you could not complete." }, { "label": "Upgrade existing", "body": "I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run." } ] }, "documentation": { "source": "clawhub", "primaryDoc": "SKILL.md", "sections": [ { "title": "Boggle Solver", "body": "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)." }, { "title": "Workflow (from photo)", "body": "Read the 4x4 grid from the photo (left-to-right, top-to-bottom)\nShow the grid to the user and ask for confirmation before solving\nOnly after user confirms → run the solver\nAlways run English and German SEPARATELY — present as two labeled sections (🇬🇧 / 🇩🇪)" }, { "title": "Solve a board", "body": "# English\npython3 skills/boggle/scripts/solve.py ELMU ZBTS ETVO CKNA --lang en\n\n# German\npython3 skills/boggle/scripts/solve.py ELMU ZBTS ETVO CKNA --lang de\n\nEach row is one argument (4 letters). Or use --letters:\n\npython3 skills/boggle/scripts/solve.py --letters ELMUZBTSETVOCKNA --lang en" }, { "title": "Options", "body": "FlagDescription--lang en/deLanguage (default: en; always run EN and DE separately)--min NMinimum word length (default: 3)--jsonJSON output with scores--dict FILECustom dictionary (repeatable)" }, { "title": "Scoring (standard Boggle)", "body": "3-4 letters: 1 pt\n5 letters: 2 pts\n6 letters: 3 pts\n7 letters: 5 pts\n8+ letters: 11 pts" }, { "title": "How it works", "body": "Builds a trie from dictionary files (one-time, ~11s)\nDFS traversal from every cell, pruned by trie prefixes\nAdjacency: 8 neighbors (horizontal, vertical, diagonal)\nEach cell used at most once per word\nQu tile support: Standard Boggle \"Qu\" tiles are handled as a single cell (e.g., QUENHARI... → \"QU\" occupies one position)\nAll matching is dictionary-only — no generative/guessed words" }, { "title": "Data", "body": "Dictionaries are auto-downloaded from GitHub on first run if missing.\n\ndata/words_english_boggle.txt — 359K English words\ndata/words_german_boggle.txt — 1.35M German words" }, { "title": "Performance", "body": "Trie build: ~11s (first run, 1.7M words)\nSolve: <5ms per board" } ], "body": "Boggle Solver\n\nFast trie-based DFS solver with dictionary-only matching. No AI/LLM guessing — words are validated exclusively against bundled dictionaries (359K English + 1.35M German).\n\nWorkflow (from photo)\nRead the 4x4 grid from the photo (left-to-right, top-to-bottom)\nShow the grid to the user and ask for confirmation before solving\nOnly after user confirms → run the solver\nAlways run English and German SEPARATELY — present as two labeled sections (🇬🇧 / 🇩🇪)\nSolve a board\n# English\npython3 skills/boggle/scripts/solve.py ELMU ZBTS ETVO CKNA --lang en\n\n# German\npython3 skills/boggle/scripts/solve.py ELMU ZBTS ETVO CKNA --lang de\n\n\nEach row is one argument (4 letters). Or use --letters:\n\npython3 skills/boggle/scripts/solve.py --letters ELMUZBTSETVOCKNA --lang en\n\nOptions\nFlag\tDescription\n--lang en/de\tLanguage (default: en; always run EN and DE separately)\n--min N\tMinimum word length (default: 3)\n--json\tJSON output with scores\n--dict FILE\tCustom dictionary (repeatable)\nScoring (standard Boggle)\n3-4 letters: 1 pt\n5 letters: 2 pts\n6 letters: 3 pts\n7 letters: 5 pts\n8+ letters: 11 pts\nHow it works\nBuilds a trie from dictionary files (one-time, ~11s)\nDFS traversal from every cell, pruned by trie prefixes\nAdjacency: 8 neighbors (horizontal, vertical, diagonal)\nEach cell used at most once per word\nQu tile support: Standard Boggle \"Qu\" tiles are handled as a single cell (e.g., QUENHARI... → \"QU\" occupies one position)\nAll matching is dictionary-only — no generative/guessed words\nData\n\nDictionaries are auto-downloaded from GitHub on first run if missing.\n\ndata/words_english_boggle.txt — 359K English words\ndata/words_german_boggle.txt — 1.35M German words\nPerformance\nTrie build: ~11s (first run, 1.7M words)\nSolve: <5ms per board" }, "trust": { "sourceLabel": "tencent", "provenanceUrl": "https://clawhub.ai/christianhaberl/boggle", "publisherUrl": "https://clawhub.ai/christianhaberl/boggle", "owner": "christianhaberl", "version": "1.0.0", "license": null, "verificationStatus": "Indexed source record" }, "links": { "detailUrl": "https://openagent3.xyz/skills/boggle", "downloadUrl": "https://openagent3.xyz/downloads/boggle", "agentUrl": "https://openagent3.xyz/skills/boggle/agent", "manifestUrl": "https://openagent3.xyz/skills/boggle/agent.json", "briefUrl": "https://openagent3.xyz/skills/boggle/agent.md" } }