wiki
LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)
DeepseekModel
官方收录技能
质量 优秀 · 90
v1.0.0
获取
https://deepseekmodel.com/api/download.php?id=yeachan-heo-oh-my-claudecode-skills-wiki-skill-md&format=skill
下载 .skill
标准格式，含 system_prompt 与 model_config，导入任意 Agent 框架即可使用
.skill 文件中 system_prompt 字段的实际内容。
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# Show all pages (reads index.md) wiki_read({ page: "auth-architecture" }) # Read specific page wiki_delete({ page: "outdated-page" }) # Delete a page Log View wiki operation history by reading .omc/wiki/log.md .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.
Agent 识别该技能的关键词，点击任意一个即可复制。
该技能未提供触发词。
下载的 .skill 包内含以下字段。
| 字段 | 说明 |
|---|---|
| format | 格式标识（skill/v1） |
| skill_id | 技能唯一 ID |
| name | 技能名称 |
| version | 版本号 |
| description | 技能描述 |
| category | 所属分类（数组） |
| trigger_words | 触发词列表 |
| tags | 标签列表 |
| source | 来源标识 |
| source_url | 来源链接（本页地址） |
| exported_at | 导出时间（每次下载生成） |
| system_prompt | 系统提示词正文 |
| model_config | 模型参数：provider / model / temperature / max_tokens / top_p |
| examples | 示例 |
| install_guide | 各平台导入说明（Coze / Dify / Claude / 自定义框架） |
