Scraps Wiki Ingest
Compiles new information from prompts, URLs, or text into a structured, cross-linked markdown wiki optimized for LLMs.
Scraps Ingest implements Karpathy's 'Ingest' primitive to transform fragmented information into atomic, interconnected markdown 'scraps'. It automates the complex labor of knowledge gardening by researching existing wiki state, generating context-aware summaries, and managing link density. The skill identifies relevant topics, handles directory organization, and performs bidirectional cross-linking—automatically updating existing notes to reference new content—ensuring your knowledge base remains a coherent, navigable graph rather than a collection of isolated files.
Key Features
01Context-aware directory organization for title collision management
02Automated content extraction from URLs via WebFetch
03Intelligent bidirectional cross-linking and inbound mention discovery
0445 GitHub stars
05Heuristic-based content density control to protect working memory
06Automated sanity checks for wiki-link and tag consistency
Use Cases
01Summarizing web articles and filing them directly into a personal knowledge base
02Converting LLM-synthesized answers or Q&A results into persistent wiki notes
03Building an interconnected documentation graph for complex software project research