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LLM Wiki — persistent markdown knowledge base that compounds across sessions (Karpathy model)

DeepseekModel Curated skill Quality Excellent · 90 v1.0.0

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https://deepseekmodel.com/api/download.php?id=yeachan-heo-oh-my-claudecode-skills-wiki-skill-md&format=skill
Download .skill Standard format with system_prompt and model_config, ready for any agent framework
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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# Show all pages (reads index.md) wiki_read({ page: "auth-architecture" }) # Read specific page wiki_delete({ page: "outdated-page" }) # Delete a page Log View wiki operation history by reading .omc/wiki/log.md .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.
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The downloaded .skill package contains the following fields.
Field Description
formatFormat tag (skill/v1)
skill_idUnique skill ID
nameSkill name
versionVersion
descriptionDescription
categoryCategories (array)
trigger_wordsTrigger words
tagsTags
sourceSource
source_urlSource URL (this page)
exported_atExported at (set per download)
system_promptSystem prompt body
model_configModel config: provider / model / temperature / max_tokens / top_p
examplesExamples
install_guideImport guide for Coze / Dify / Claude / custom frameworks
The same skill can be exported in different platform formats.
.skill Standard format with system_prompt and model_config, ready for any agent framework Download
.skillpro Enhanced format with scripts, tools, dependencies and hooks Download
.json Plain JSON export with system_prompt and model parameters only Download
Coze Markdown with frontmatter, for Coze platform import Download
Dify Dify DSL, import directly after creating an app Download

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