karpathy-wiki

Ingest raw sources and update wiki summaries, index, and logs.

2|Updated Apr 9, 2026
One-click install
npx skills add https://github.com/skytiger6724/qwen-skills --skill karpathy-wiki
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: karpathy-wiki
Source: https://github.com/skytiger6724/qwen-skills/tree/main/karpathy-wiki
Command: npx skills add https://github.com/skytiger6724/qwen-skills --skill karpathy-wiki

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

Keeps a persistent, compounding markdown knowledge base so that raw research is ingested just once and every subsequent query builds on an evolving Karpathy-style wiki instead of redeveloping context from scratch.

Core Features & Use Cases

  • Structured data sources: Defines raw, core knowledge, and workspace directories plus a decision tree so ingestion, queries, linting, and initialization operate consistently.
  • Workflow orchestration: Coordinates summaries, concept/entity pages, index updates, and log entries to capture new material, answer complex questions, and report health without losing provenance.
  • Health and automation hooks: Provides session-start drift checks and stop hooks to auto-detect new raw content, prompting ingestion when necessary while maintaining traceable logs.

Quick Start

Ask the agent to ingest new raw sources into the Karpathy Wiki so the knowledge base stays up to date.

Frequently Asked Questions about karpathy-wiki

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I maintain a markdown knowledge base without losing research provenance?

A Karpathy-style knowledge wiki structures markdown directories into raw, core knowledge, and workspace sections. It uses a decision tree to coordinate ingestion, queries, and lint checks so raw research is processed once and compounds over time.

How do I ingest raw sources into a knowledge wiki efficiently?

To ingest raw sources efficiently, apply the wiki decision tree to process new materials into concept and entity summaries. The workflow automatically updates the index and log records to capture new material while maintaining traceable provenance.

Can I automate health checks across my markdown wiki directories?

Yes, you can automate health checks across wiki directories. The system provides session-start drift checks and stop hooks that auto-detect new raw content, prompting ingestion when necessary while reporting lint-style health status.

What's the best way to structure directories for a knowledge wiki?

The best way to structure a knowledge wiki is to define raw, core knowledge, and workspace directories. This structured directory layout allows ingestion, queries, linting, and initialization operations to execute consistently across the knowledge base.

Do I need shell-level access to manage a Karpathy-style wiki?

Yes, managing this wiki requires shell-level access to the wiki raw folders, the ingest query lint decision tree, and the logging conventions documented in the operations references to execute maintenance commands properly.