logseq-ai-model

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Reference or document AI models in the garden using provider namespaces and singular naming. Use when mentioning a model in passing/changelogs, creating a model stub, or authoring a detailed model page with features, benchmarks, tiers, access, and specs. Covers OpenAI/Anthropic/Google/DeepSeek/xAI model link formats and model-code aliases. Do not use for general entity creation (logseq-entity) or non-model pages.

codekiln By codekiln schedule Updated 6/10/2026

name: logseq-ai-model description: >- Reference or document AI models in the garden using provider namespaces and singular naming. Use when mentioning a model in passing/changelogs, creating a model stub, or authoring a detailed model page with features, benchmarks, tiers, access, and specs. Covers OpenAI/Anthropic/Google/DeepSeek/xAI model link formats and model-code aliases. Do not use for general entity creation (logseq-entity) or non-model pages.

Logseq AI model pages

Extends naming conventions (singular page names; see logseq-core) for AI models.

Quick reference (mention / changelog / stub)

  • Provider namespaces: [[OpenAI/Model/...]], [[Anthropic/Model/...]], [[Google/AI/Model/...]], [[DeepSeek/Model/...]], [[xAI/Model/...]].
  • Version hierarchy uses /: [[OpenAI/Model/GPT/4/1]] (GPT-4.1), [[Anthropic/Model/Claude/3.5/Sonnet]] (Claude 3.5 Sonnet).
  • Always use the full namespace path, not bare display text ("Gemini 2.5 Pro").
  • Stub page: frontmatter alias:: [[model-name]], tags:: [[AI/Model]]; body - # Model Name + - *Stub page - detailed documentation pending*. Add it to the provider's model list page if one exists.
  • Document specific model versions, not families.

Detailed model page

When the model is a primary focus (capabilities, benchmarks, comparisons, full specs), author a full page — read references/detail-page.md for the section structure, research sources, examples, and best practices (canonical H1 link, model-code aliases, version status).

Always

  • New model pages use tags:: [[AI/Model]] (tags:: is protected per logseq-core).
  • Link existing model pages when available; use logseq-link-hygiene before inventing links.
Install via CLI
npx skills add https://github.com/codekiln/logseq-encode-garden --skill logseq-ai-model
Repository Details
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