dreaminglisted
Install: claude install-skill Signet-AI/signetai
# Dreaming
Use this skill when an agent should wake up, read accumulated source evidence,
and turn it into Signet ontology structure. The job is flexible bulk ingestion:
transcripts, memory artifacts, source artifacts, notes, summaries, and imported
records go in; the knowledge graph, scoped memories, and maintenance trail get
better.
Dreaming maintains the graph by turning source and memory artifacts into
entities, aspects, claim attributes, and links. Memory artifacts are evidence
for attributes; the ontology control plane is the audited path that applies
those attributes to the graph.
Apply first with provenance is the blanket rule for dreaming and ordinary graph
maintenance. High-confidence, authorized maintenance should use audited
operation handlers that apply directly and preserve evidence, source pointers,
actor, confidence, and version history. Pending proposals are only for massive
knowledge-graph refactors, risky/destructive changes, or cases where the
operator explicitly asks for review before mutation.
Dreaming may save memories when the evidence supports durable recall, but not by
calling the API `remember` endpoint. Save explicit source-backed memory artifacts
or use the configured source/import machinery so provenance remains inspectable.
Do not rewrite raw transcript/source artifacts or edit SQLite directly.
## Inputs
Gather enough source evidence and graph context to infer useful ontology
structure. Prefer recent transcript and memory-artifact windows