Convert conversations or pasted documents into persistent session records.
npx skills add https://github.com/kirakuiin/note --skill ingest-kirakuiin
Please help me install this Agent Skill. Skill: ingest Source: https://github.com/kirakuiin/note/tree/main/Obsidian%20Vault/9-Meta/Skills/ingest Command: npx skills add https://github.com/kirakuiin/note --skill ingest-kirakuiin
Ingest reduces the manual effort of archiving conversations and raw notes by converting them into standardized session files and, when useful, generating related wiki pages to preserve lasting knowledge.
Capture a chat or pasted document and instruct the agent to archive it as a session and optionally generate related wiki pages.
High-intent search queries and answers about installing and using this skill.
You can archive conversations by converting them into persistent session files with appropriate frontmatter, storing them under a 1-Sessions/YYYY/MM folder structure suitable for long-term knowledge maintenance in Obsidian.
The best way to turn raw notes into wiki-ready content is through a phase-driven workflow that assesses wiki-worthiness, proposes updates for 2-Wiki or 9-Meta domains, and logs touched wiki pages to preserve lasting knowledge.
Structuring a knowledge management workflow for session archival involves following a phase-based workflow: determine scope and target vault, write the session file, assess wiki-worthiness, propose wiki updates, and log touched wiki pages.
Yes, you can generate wiki pages from pasted documents by detecting opportunities to surface insights as wiki pages in the 2-Wiki or 9-Meta domains during the wiki-worthiness assessment phase.
Knowledge management automation reduces manual folder organization by automatically writing session files under 1-Sessions/YYYY/MM and enforcing a phase-driven workflow that handles session creation, wiki updates, and changelog logging.
You should avoid automated session archival when conversations require custom frontmatter outside the standard 1-Sessions structure, or when insights lack sufficient wiki-worthiness for 2-Wiki or 9-Meta domain updates.
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