jbl306

Labs Wiki โ€” AI skill for Claude Code

AI community

๐Ÿง  LLM-powered personal wiki โ€” Karpathy pattern implementation with Claude Code skills, incremental compilation, and multi-agent support.

How to install Labs Wiki

This entry records only its repository, not the path inside it, so there is no exact command to give. Open jbl306/labs-wiki and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What Labs Wiki does

๐Ÿง  LLM-powered personal wiki โ€” Karpathy pattern implementation with Claude Code skills, incremental compilation, and multi-agent support.

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README

labs-wiki

A personal LLM-powered knowledge wiki based on [Karpathy's LLM Wiki](https://gist.github.com/karpathy/442a6bf555914893e9891c11519de94f) pattern, enhanced with best-of-breed features from top community implementations.

How It Works

graph LR
    subgraph "Capture"
        P[๐Ÿ“ฑ Phone] --> API[Ingest API]
        B[๐Ÿ’ป Browser] --> API
        T[โŒจ๏ธ Terminal] --> API
    end

    subgraph "Auto-Ingest"
        API --> RAW[raw/]
        RAW --> W[File Watcher]
        W --> LLM[Codex CLI Compilation]
    end

    subgraph "Wiki"
        LLM --> S[wiki/sources/]
        LLM --> C[wiki/concepts/]
        LLM --> E[wiki/entities/]
    end

    style RAW fill:#e1f5fe
    style S fill:#f3e5f5
    style C fill:#f3e5f5
    style E fill:#f3e5f5
    style API fill:#e8f5e9

**Sources** are captured from any device via the Ingest API โ†’ written to `raw/` โ†’ **automatically processed** by the auto-ingest service through Codex CLI โ†’ wiki pages created with cross-references. Twitter/X and GitHub repo URLs get specialized deterministic fetch/extraction before compilation. **AGENTS.md** defines the schema that all AI tools follow.

Architecture

labs-wiki/
โ”œโ”€โ”€ raw/                    # Layer 1: Source documents + durable URL snapshots
โ”‚   โ””โ”€โ”€ assets/             # Binary files (images, PDFs)
โ”œโ”€โ”€ wiki/                   # Layer 2: LLM-compiled knowledge
โ”‚   โ”œโ”€โ”€ sources/            # Source summaries (1:1 with raw/)
โ”‚   โ”œโ”€โ”€ concepts/           # Concept deep-dives
โ”‚   โ”œโ”€โ”€ entities/           # Named entities (tools, people, orgs)
โ”‚   โ”œโ”€โ”€ synthesis/          # Cross-cutting analysis
โ”‚   โ”œโ”€โ”€ index.md            # Auto-generated topic-clustered catalog
โ”‚   โ””โ”€โ”€ log.md              # Structured audit log
โ”œโ”€โ”€ templates/              # Page templates with frontmatter
โ”œโ”€โ”€ scripts/                # Python utilities (scaffold, lint, index, auto-ingest)
โ”œโ”€โ”€ wiki-ingest-api/        # FastAPI capture service
โ”œโ”€โ”€ Dockerfile.auto-ingest  # Auto-ingest watcher service