Persistent, compounding knowledge base for your project — maintained by Claude, inspired by Karpathy's LLM Wiki pattern.
This skill should be used when the user wants to "capture what we decided", "update the wiki from this session", "save what we learned", "file this decision", "add this pattern to the wiki", "document this gotcha", or at the end of a session where decisions were made, implementation patterns were established, or domain knowledge was clarified. Extracts wiki-worthy knowledge from the current conversation and persists it to the appropriate wiki pages.
This skill should be used when the user wants to "create a project wiki", "set up a wiki for implementing tickets", "create a wiki for autonomous coding", "initialize a product wiki", "set up a knowledge base for the codebase", or wants Claude to be able to implement Jira/Linear/GitHub tickets autonomously without needing to ask for context. Creates a wiki structured around the missing layer between code and tickets. Works for both established products and greenfield projects.
This skill should be used when the user asks to "create a wiki", "set up a wiki", "initialize a wiki", "start a knowledge base", "scaffold a wiki", or "set up an llm-wiki for this project". Guides Claude through generating a domain-specific wiki schema and directory structure at wiki/ in the project root.
This skill should be used when the user asks to "ingest a document", "add this to the wiki", "process this source", "file this article", "add this paper to the wiki", or drops a file into wiki/raw/ and wants it incorporated. Provides the interactive workflow for incorporating a source document into the wiki.
This skill should be used when the user asks to "lint the wiki", "health check the wiki", "audit the wiki", "check the wiki for issues", "find contradictions in the wiki", "find orphan pages", or "clean up the wiki". Provides the workflow for auditing wiki health and producing a structured report.
Uses power tools
Uses Bash, Write, or Edit tools
Own this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimOwn this plugin?
Verify ownership to unlock analytics, metadata editing, and a verified badge. GitHub access is read-only (username + org membership).
Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Personal marketplace for Claude Code plugins.
/plugin marketplace add ChristianASC5/christianASC5-marketplace
| Plugin | Description |
|---|---|
| llm-wiki | Persistent, compounding knowledge base — Karpathy's LLM Wiki pattern for Claude Code |
After adding the marketplace, install individual plugins:
/plugin llm-wiki@christianASC5-marketplace
npx claudepluginhub christianasc5/christianasc5-marketplace --plugin llm-wikiClaude + Obsidian knowledge companion. Sets up a persistent, compounding wiki vault (Karpathy's LLM Wiki pattern). v1.7 "Compound Vault" + v1.8 methodology modes close 5 of 5 priority gaps from the May 2026 compass artifact. Ships: substrate alignment with kepano/obsidian-skills, default Obsidian CLI transport, hybrid retrieval (contextual prefix + BM25 + cosine rerank per Anthropic's Sept 2024 research), per-file advisory locking for multi-writer safety, pre-commit verifier agent, AND methodology modes (LYT / PARA / Zettelkasten / Generic) for first-class organizational support no other Claude+Obsidian competitor offers. v1.7.x audit closure: every BLOCKER + HIGH + MEDIUM + LOW finding from the v1.7.0 audit is CLOSED or DEFERRED-with-rationale. Optional DragonScale Memory extension (log folds, deterministic addresses, semantic tiling lint, boundary-first autoresearch).
Complete AI coding workflow system. Self-correcting memory + persistent FTS5-indexed research wikis + auto-research loop + multi-LLM council on a single SQLite store. 33 skills, 8 agents, 22 commands, 37 hook scripts across 24 events. Cross-agent via SkillKit.
Build and maintain an LLM-curated personal knowledge base in your project — Andrej Karpathy's LLM Wiki pattern, designed to scale to thousands of pages without becoming a context bottleneck. Now with an optional compiled graph layer for typed, provenance-backed relationships.
Make your AI agent code with your project's architecture, rules, and decisions.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
AI-powered wiki generator for code repositories. Generates comprehensive, Mermaid-rich documentation with dark-mode VitePress sites, onboarding guides, deep research, and source citations. Inspired by OpenDeepWiki and deepwiki-open.