Transform raw material into atomic notes with explicit links and YAML frontmatter.
npx skills add https://github.com/wshuyi/zettel-builder --skill zettel-builder
Please help me install this Agent Skill. Skill: zettel-builder Source: https://github.com/wshuyi/zettel-builder/tree/main Command: npx skills add https://github.com/wshuyi/zettel-builder --skill zettel-builder
This Skill automates turning scattered material into a bottom-up Zettelkasten card network by atomizing content, restating core values, and establishing explicit links, enabling durable, readable knowledge growth.
Ingest a sample material with the /zettel ingest command to create atomic cards and start the value-restatement workflow.
High-intent search queries and answers about installing and using this skill.
To automate note-taking into a knowledge graph, you can atomize raw text, files, and URLs into standalone cards, restate their core values, and establish explicit links. This process enforces YAML frontmatter discipline and applies embedding clustering to organize the card network.
The zettelkasten method for atomizing content breaks long material into individual, standalone cards that remain comprehensible over time. It rewrites each card to express a clear stance with justification and link rationale, enabling durable, bottom-up knowledge growth.
You ingest chat fragments and files by processing them into atomic notes with value restatement and explicit linking. The system applies embedding clustering to discover ready clusters, detect gaps, and prepare the ingested sources for deep-research handoffs.
Yes, you can use fastembed and numpy to support embedding and clustering within an end-to-end knowledge management workflow. This enables automated card generation, deduplication, structured artifact management, and versioned git push for the output.
The best way to assess readiness and detect gaps in a bottom-up zettelkasten is through periodic clustering and deep research. The system discovers ready clusters across diverse sources and optionally hands off gaps for further investigation.
nrminorConvert Markdown or raw-text PRDs into Ralph-compatible prd.json payloads.
Johnson1662Coordinate a dual-agent workflow to plan and execute deep-topic research.
yunusgungorDeduplicate raw concept stubs into a tiered canonical map with timelines and clusters.
koasis89Create and manage notes using OMX persistent memory features.
