vault-ingest
SkillDocs & knowledgeLets your agent sort raw content into the right knowledge base locations and link related entries.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the vault-ingest skill
About this capability
Classify raw content and route it to the appropriate knowledge base location
What this skill tells your AI
The instructions your AI receives, as published by pass-agent/loomkin in .agents/skills/vault-ingest/SKILL.md and read by ahel’s review.
Analyze raw input and route to the right location in the knowledge base.
Classify Content
Determine what this is:
- Strategy, process, or how-to: note (link to parent topic)
- Hub or organizing content: topic
- Product or brand information: project
- Person information: person
- A decision or commitment: decision (also log to decision graph)
- External reference: source
- A feature or product idea: idea
If the input contains multiple distinct concepts, extract each as a separate atomic entry.
Check for Duplicates
vault_search(query: "{key phrases from input}") — if a similar entry exists, suggest updating it instead of creating a new one. Use ask_user to confirm.
Create Entries
vault_create_entry(entry_type: "{classified_type}", ...) for each extracted concept.
For decisions, also create a decision graph node:
decision_log(node_type: "decision", title: "...", confidence: ...)
Link
- Link new notes to parent topics via
vault_link(link_type: "parent") - Link related entries via
vault_link(link_type: "related") - Extract action items to
vault_kanban(action: "add", ...)
Report: files created with paths, topics linked, action items added.
Signals
- GitHub stars
- 180
- Forks
- 28
- Last commit
- May 2026
Advanced
- Catalog kind
- skill
- Gateway key
vault-ingest- Source
- github.com/pass-agent/loomkin