wiki
LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)
DeepseekModel
キュレーション済みスキル
品質 優秀 · 90
v1.0.0
取得
https://deepseekmodel.com/api/download.php?id=yeachan-heo-oh-my-claudecode-skills-wiki-skill-md&format=skill
ダウンロード .skill
標準形式。system_prompt と model_config を収録し、任意の Agent で利用可能
.skill ファイルの system_prompt フィールドの実際の内容。
name wiki description LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model) triggers ["wiki","wiki this","wiki add","wiki lint","wiki query"] Wiki Persistent, self-maintained markdown knowledge base for project and session knowledge. Inspired by Karpathy's LLM Wiki concept. Operations Ingest Process knowledge into wiki pages. A single ingest can touch multiple pages. wiki_ingest({ title: "Auth Architecture", content: "...", tags: ["auth", "architecture"], category: "architecture" }) Query Search across all wiki pages by keywords and tags. Returns matching pages with snippets — YOU (the LLM) synthesize answers with citations from the results. wiki_query({ query: "authentication", tags: ["auth"], category: "architecture" }) Lint Run health checks on the wiki. Detects orphan pages, stale content, broken cross-references, oversized pages, and structural contradictions. wiki_lint() Quick Add Add a single page quickly (simpler than ingest). wiki_add({ title: "Page Title", content: "...", tags: ["tag1"], category: "decision" }) List / Read / Delete wiki_list() # Show all pages (reads index.md) wiki_read({ page: "auth-architecture" }) # Read specific page wiki_delete({ page: "outdated-page" }) # Delete a page Log View wiki operation history by reading .omc/wiki/log.md . Categories Pages are organized by category: architecture , decision , pattern , debugging , environment , session-log Storage Pages: .omc/wiki/*.md (markdown with YAML frontmatter) Index: .omc/wiki/index.md (auto-maintained catalog) Log: .omc/wiki/log.md (append-only operation chronicle) Cross-References Use [[page-name]] wiki-link syntax to create cross-references between pages. Auto-Capture At session end, significant discoveries are automatically captured as session-log pages. Configure via wiki.autoCapture in .omc-config.json (default: enabled). Hard Constraints NO vector embeddings — query uses keyword + tag matching only Wiki pages are git-ignored by default ( .omc/wiki/ is project-local) Model Routing haiku — quick lookups, lightweight inspection, narrow docs work sonnet — standard implementation, debugging, and review opus — architecture, deep analysis, consensus planning, and high-risk review fable — Claude Fable 5 (above Opus); pass it explicitly on the Task call or pin it per agent with agents.<name>.model The session model chosen with /model applies to the main loop only. Delegated agents run on their pinned tier unless the Task call passes model explicitly or the agent is overridden via agents.<name>.model . To run delegated work on Fable, use one of those two surfaces; selecting Fable in /model alone does not change delegation.
このスキルを起動するキーワード。クリックでコピーできます。
このスキルにはトリガーワードがありません。
ダウンロードした .skill に含まれるフィールド。
| フィールド | 説明 |
|---|---|
| format | フォーマット識別子（skill/v1） |
| skill_id | スキル固有 ID |
| name | スキル名 |
| version | バージョン |
| description | 説明 |
| category | カテゴリ（配列） |
| trigger_words | トリガーワード |
| tags | タグ |
| source | ソース |
| source_url | ソース URL（本ページ） |
| exported_at | エクスポート日時（ダウンロード毎） |
| system_prompt | システムプロンプト本文 |
| model_config | モデル設定：provider / model / temperature / max_tokens / top_p |
| examples | サンプル |
| install_guide | 各プラットフォームの導入説明（Coze / Dify / Claude / カスタム） |
