Ingest URLs and files into a curated wiki with citations.
npx skills add https://github.com/dbsdud/llm-wiki-skill --skill wiki-dbsdud
Please help me install this Agent Skill. Skill: wiki Source: https://github.com/dbsdud/llm-wiki-skill/tree/main Command: npx skills add https://github.com/dbsdud/llm-wiki-skill --skill wiki-dbsdud
It helps you reliably capture new knowledge and continuously curate it into an Evergreen, citation-backed personal LLM wiki instead of re-searching and re-synthesizing every time.
Run /wiki init to create your ~/vaults wiki, then ingest a URL by asking /wiki to ingest-url https://example.com/blog and summarize it into your vault.
High-intent search queries and answers about installing and using this skill.
To build a personal knowledge vault, initialize a consistent schema at ~/vaults and ingest URLs, local files, and project outputs. The system maintains an immutable raw-to-curated workflow, generating summaries and selective concept pages with YAML frontmatter.
The best way to maintain an LLM wiki with citations is through ongoing vault maintenance, which includes running linting to find orphans, broken sources, and frontmatter issues. New pages must be registered in wiki/index.md and activity logs appended in wiki/log.md.
Knowledge management ingestion works by capturing URLs and local files into an immutable raw/ sources directory. The system then synthesizes this data into curated wiki/sources summaries and concept pages, enforcing a strict raw-to-curated workflow.
Yes, you can answer questions using your personal knowledge base with provenance. The system retrieves information from wiki/index and related pages, ensuring that answers are citation-backed and traceable to the original ingested sources.
Yes, graphify integration supports ingesting project outputs directly into the wiki vault. The ingested outputs are processed through the standard immutable raw-to-curated workflow, generating curated summaries and entity pages with citations.
Vault maintenance requires appending logs without modifying past entries to preserve an immutable activity history. This ensures consistent provenance tracking and prevents the corruption of previous synthesis states within the knowledge management system.
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